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F<strong>in</strong>al reportFOOD SAFETYPrepared by:T. Ross and C.T. ShadboltSchool of Agricultural ScienceUniversity of TasmaniaPUBLISHED BYMeat & Livestock AustraliaLocked Bag 991NORTH SYDNEY NSW 2059ISBN: 095852548<strong>Predict<strong>in</strong>g</strong> Escherichia <strong>coli</strong><strong><strong>in</strong>activation</strong> <strong>in</strong> <strong>uncooked</strong> comm<strong>in</strong>utedfermented meat productsThis publication is published by Meat & Livestock Australia Limited ABN 39 081 678 364 (MLA). Care is taken toensure the accuracy of <strong>in</strong>formation <strong>in</strong> the publication. However MLA cannot accept responsibility for the accuracyor completeness of the <strong>in</strong>formation or op<strong>in</strong>ions conta<strong>in</strong>ed <strong>in</strong> the publication. You should make your own enquiriesbefore mak<strong>in</strong>g decisions concern<strong>in</strong>g your <strong>in</strong>terests. Reproduction <strong>in</strong> whole or <strong>in</strong> part of this publication is prohibitedwithout the prior written consent of MLA.


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFMTable of ContentsTerms of Reference...........................................................................................4Summary and Recommendations....................................................................5Acknowledgments.............................................................................................71. Introduction...............................................................................................82. Pathogenic Escherichia <strong>coli</strong> and UCFM..................................................92.1 Background ......................................................................................92.2 Regulatory Responses .....................................................................93. Uncooked Fermented Meat Processes .................................................103.1 History ............................................................................................103.2 Mak<strong>in</strong>g UCFM ................................................................................104. Non-thermal <strong><strong>in</strong>activation</strong> of Escherichia <strong>coli</strong> .......................................184.1. Introduction ....................................................................................184.2 Ecophysiology of Escherichia <strong>coli</strong> ..................................................184.3 Non-thermal <strong><strong>in</strong>activation</strong> k<strong>in</strong>etics <strong>in</strong> laboratory broth systems........194.4 K<strong>in</strong>etics of Inactivation dur<strong>in</strong>g UCFM Production ...........................225. Modell<strong>in</strong>g of Inactivation Data ...............................................................315.1 Temperature...................................................................................315.2 pH...................................................................................................365.3 Water activity..................................................................................365.4 Other - Role of Oxygen ..................................................................375.5 Conclusions from available studies ................................................376. Model Systems: Relevance to Studies <strong>in</strong> Commercial UCFMProcesses ........................................................................................................396.1 Comparison of model broth systems and UCFM............................396.2 Presence of Fat..............................................................................406.3 Inoculum Preparation and Prior History..........................................416.4 Other Variables ..............................................................................436.5 Conclusions....................................................................................437. Conclusions and Recommendations....................................................447.1 Introduction ....................................................................................447.2 Gaps <strong>in</strong> current knowledge.............................................................447.3 Recommendations to Acquire Data................................................457.4 Other Recommendations ...............................................................47References.......................................................................................................49Page 2 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFMAPPENDIX 1: Nomenclature and characteristics of various UCFM............53APPENDIX 2: Characteristics of fermented meat products available <strong>in</strong>North America and Australia..........................................................................54APPENDIX 3: UCFM process<strong>in</strong>g comb<strong>in</strong>ations trialled <strong>in</strong> the Blue RibbonTask Force evaluation (Reproduced from Nickelson, 1996)........................56APPENDIX 4: Process<strong>in</strong>g methods for some traditional Asian products. .57Safety of Asian UCFM Relative to ‘Western” UCFM products...........................58APPENDIX 5: Discussion of Grau's Broth Model Results with In-ProductResults .............................................................................................................59Page 3 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFMSummary and RecommendationsE. <strong>coli</strong> cells are only slowly killed by conditions that prevail <strong>in</strong> fermented meat products, bothdur<strong>in</strong>g and after process<strong>in</strong>g. Consequently, if high numbers of pathogenic E. <strong>coli</strong>contam<strong>in</strong>ate the raw <strong>in</strong>gredients of fermented meats, sufficient cells may survive the processto cause serious illness <strong>in</strong> consumers. This occurred <strong>in</strong> USA <strong>in</strong> late 1994 and <strong>in</strong> Adelaide <strong>in</strong>1995 with loss of life, and with tragic and long-last<strong>in</strong>g consequences to other victims. TheAustralian smallgoods <strong>in</strong>dustry also endured long term losses. Other outbreaks <strong>in</strong>volv<strong>in</strong>gfermented meats contam<strong>in</strong>ated with pathogenic E. <strong>coli</strong> have s<strong>in</strong>ce been reported.Subsequent to the South Australian outbreak new legislation was <strong>in</strong>troduced by ANZFA.Clause 60A, Standard C1 of the Food Standards Code (Meat, Game and Related Products)now <strong>in</strong>cludes the requirement that:“the process of fermentation and any other subsequent processes must reduce priorto sale from the process<strong>in</strong>g factory by 99.9% or greater the number of Escherichia<strong>coli</strong> organisms potentially present <strong>in</strong> an <strong>uncooked</strong> comm<strong>in</strong>uted meat product”.The Terms of Reference of this report were described earlier. Our conclusions andrecommendations are summarised below.ConclusionsThe pr<strong>in</strong>ciples of safe manufacture of <strong>uncooked</strong> comm<strong>in</strong>uted fermented meat products arereasonably well understood and, when produced <strong>in</strong> accordance with an appropriate HACCPplan, UCFM can be made safely.Nonetheless, available data suggests that many UCFM processes currently used, either <strong>in</strong>Australia or overseas, can not comply with the 3-log kill requirement. Those that do employextended process<strong>in</strong>g times and/or high temperatures (e.g. above 40°C) and are notcommonly used <strong>in</strong> Australia.Of the many studies undertaken to measure the amount of E. <strong>coli</strong> <strong><strong>in</strong>activation</strong> dur<strong>in</strong>g UCFMproduction few have attempted to provide an <strong>in</strong>terpretation of the microbial ecology of theprocess. Instead specific processes, or specific changes to processes, were evaluated.Those results offer little ability to predict the safety of other processes. However, bycomb<strong>in</strong><strong>in</strong>g and reanalys<strong>in</strong>g the available data we conclude that:• the amount <strong><strong>in</strong>activation</strong> that occurs dur<strong>in</strong>g a specific UCFM process is governed largelyby the times and temperatures used <strong>in</strong> the process• the extent of <strong><strong>in</strong>activation</strong> can be predicted us<strong>in</strong>g a novel predictive model developed <strong>in</strong>this study, but accuracy of predictions is limited to ± 0.5 - ± 1.0 log kill• lower pH and lower water activities are associated with greater <strong><strong>in</strong>activation</strong>. Organicacids, and possibly nitrite will also affect the amount of <strong><strong>in</strong>activation</strong>. All of these factorshave less effect than temperature variation, but those effects can not be quantified fromexist<strong>in</strong>g data. If data were available, an improved predictive model could be developed• an <strong>in</strong>terpretation of the microbial ecology of UCFM processes consistent with theavailable data is possible and, if supported by further research, will provide producerswith flexibility to design processes that achieve the required level of E. <strong>coli</strong> <strong><strong>in</strong>activation</strong>and to maximise the diversity of product stylesPage 5 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFMRecommendationsTo provide benefit from this study to the smallgoods <strong>in</strong>dustry we recommend:• that the results of this report be dissem<strong>in</strong>ated both to <strong>in</strong>dustry and regulators. Thoughimperfect, the quantitative data presented provides regulators and <strong>in</strong>dustry with anobjective basis to beg<strong>in</strong> to evaluate UCFM processes, some of which are ‘probably safe’and others clearly ‘potentially dangerous’. By provid<strong>in</strong>g some objective bases forassessment, this report should enable regulators and producers to co-operate to achievetheir respective aims• that, given the <strong>in</strong>ability of many processes currently used <strong>in</strong> Australia to satisfy therequirements of Clause 60A, that the utility of this prescriptive regulation be reconsideredand that consideration be given to specification of an appropriate Food Safety Objectivefrom which appropriate guidel<strong>in</strong>es or HACCP schemes can be developed• that further research 1 be undertaken to develop a better model of the microbial ecology ofUCFM production. Us<strong>in</strong>g that model <strong><strong>in</strong>activation</strong> dur<strong>in</strong>g production will be able to beassessed, or processes can be redesigned <strong>in</strong>telligently to satisfy the Food SafetyObjective proposed aboveThe report provides an extensive review and analysis of published literature, and publishedand unpublished results of MLA-supported studies <strong>in</strong> Australia. We did not seek to makerecommendations for changes to processes that could result <strong>in</strong> compliance with the 3-log killrequirement, although some are alluded to with<strong>in</strong> the text as examples.1A program of research designed to achieve these goals is detailed <strong>in</strong> the report.Page 6 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFMAcknowledgments• Completion of this report was greatly assisted by the results of two studies funded <strong>in</strong>whole or large part, by Meat and Livestock Australia or Meat Research Corporation andundertaken by Food Science Australia (Meat Research Laboratory). Those studies<strong>in</strong>volved extensive <strong>in</strong>vestigations of the effects of various process<strong>in</strong>g variables,experimental variables and stra<strong>in</strong> differences. While the results of those studies were notessential to the f<strong>in</strong>d<strong>in</strong>gs of the current report, the results and detailed descriptions ofexperimental treatments provide a very valuable source of data to support, ref<strong>in</strong>e andexemplify our conclusions.• Similarly, researchers and post-graduate students at the University of Tasmania, Schoolof Agricultural Science provided as yet unpublished material, or material which is ‘<strong>in</strong>press’. Insights from those studies, also supported <strong>in</strong> whole or part by Meat andLivestock Australia, and from the students themselves were <strong>in</strong>valuable to the completionof this report. Their contributions are gratefully acknowledged.• The assistance of Ms. Anne Naco of the Australian and New Zealand Food Authority <strong>in</strong>obta<strong>in</strong><strong>in</strong>g permission to draw on manufacturer’s descriptions of their processes isacknowledged, as is the support and feedback dur<strong>in</strong>g the preparation of this report of Dr.Karen Krist of Meat and Livestock Australia and Dr. John Sumner.Page 7 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFM1. IntroductionFormer problems with Salmonella poison<strong>in</strong>g and Staphylococcal <strong>in</strong>toxications related tofermented meat products are now understood, and were largely related to slow or <strong>in</strong>completefermentations (Bacus, 1997). When manufactured <strong>in</strong> accordance with an appropriate HACCPprogram, fermented meats should be a safe product (Buchanan and Doyle, 1997). However,several recent outbreaks of food poison<strong>in</strong>g associated with fermented meats and <strong>in</strong>volv<strong>in</strong>genterohaemorrhagic E. <strong>coli</strong> have forced a re-evaluation of the safety of the process. WhileGlass et al. (1992) displayed considerable prescience <strong>in</strong> recognis<strong>in</strong>g the possibility offermented meat products as a vehicle of serious and life threaten<strong>in</strong>g food-borne illness dueto pathogenic Escherichia <strong>coli</strong>, the first cases were not reported until 1995 after an outbreak<strong>in</strong> late 1994 on the West Coast of USA (Alexander et al., 1995; Tilden et al., 1996). Verysoon thereafter a much larger outbreak occurred <strong>in</strong> South Australia due toenterohaemorrhagic E. <strong>coli</strong> O111 <strong>in</strong> Garibaldi brand Mettwurst, and possibly salami. Thatoutbreak <strong>in</strong>cluded the death of a five year old girl, 22 other cases of haemolytic uraemicsyndrome <strong>in</strong> children (ma<strong>in</strong>ly <strong>in</strong>fants) many of which have resulted <strong>in</strong> permanent kidneydysfunction and other, less severe, forms of disease <strong>in</strong> 120 other consumers. In 1998 an E.<strong>coli</strong> O157:H7 outbreak <strong>in</strong>volv<strong>in</strong>g 39 confirmed cases was <strong>in</strong>controvertibly l<strong>in</strong>ked to Genoasalami produced <strong>in</strong> Ontario, Canada (Williams et al., 2000). Another E. <strong>coli</strong> O157:H7outbreak l<strong>in</strong>ked to salami was reported <strong>in</strong> British Columbia, Canada, <strong>in</strong> November 1999(Anon., 2000) but details are not currently available.Follow<strong>in</strong>g the 1995 outbreak <strong>in</strong> South Australia (the “Garibaldi outbreak”), the Australian andNew Zealand Food Authority (ANZFA) <strong>in</strong> April 1995 <strong>in</strong>stituted new guidel<strong>in</strong>es cover<strong>in</strong>g thepreparation of <strong>uncooked</strong> comm<strong>in</strong>uted fermented meat (UCFM) products and amendedClause 60A, Standard C1 of the Food Standards Code (Meat, Game and Related Products)<strong>in</strong>clud<strong>in</strong>g the requirement that:“the process of fermentation and any other subsequent processes must reduce priorto sale from the process<strong>in</strong>g factory by 99.9% or greater the number of Escherichia<strong>coli</strong> organisms potentially present <strong>in</strong> an <strong>uncooked</strong> comm<strong>in</strong>uted meat product”.This equates to a 1000-fold reduction <strong>in</strong> E. <strong>coli</strong>, often expressed as a “3-log kill”. Options todemonstrate that a process satisfies this criterion were challenge tests, or evaluation of theprocess by reference to an <strong>in</strong>dependent Expert Advisory Panel convened by ANZFA(ANZFA, 1996). In practice, neither of these options has proved workable either for UCFMproducers or regulators.It is expensive and technically difficult to perform challenge tests that reliably assesscompliance of the product and process with the regulations. Additionally, because there isstra<strong>in</strong> variability there is debate about which challenge organisms should be used, and thereare several important steps that must be taken to the prepare the challenge organism. Forthese reasons many UCFM manufacturers have chosen to have their processes assessedby the ANZFA Advisory Panel. Problems with communication and the difficulty of assess<strong>in</strong>gobjectively the effectiveness of the process from an often <strong>in</strong>complete description have led tofrustration both for the Panel and manufacturers. Data collected and organisedsystematically on the effect of pH, organic acids, water activity, temperature and time on thesurvival and <strong><strong>in</strong>activation</strong> of E. <strong>coli</strong> <strong>in</strong> UCFM products is required both by <strong>in</strong>dustry andregulators to support evaluation of the performance of UCFM processes currently <strong>in</strong> use <strong>in</strong>Australia aga<strong>in</strong>st the ‘3-log kill’ criterion.The purpose of this report is to:1. identify how much of the required data is currently available2. identify data that are critical to assess<strong>in</strong>g the safety of UCFM processes but that are notcurrently available3. recommend a strategy to generate the data requiredPage 8 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFM2.1 Background2. Pathogenic Escherichia <strong>coli</strong> and UCFMEscherichia <strong>coli</strong> is a Gram-negative, facultatively anaerobic, mesophilic rod-shapedbacterium, and is a member of the Enterobacteriaceae. It predom<strong>in</strong>antly <strong>in</strong>habits thegastro<strong>in</strong>test<strong>in</strong>al tracts of warm-blooded animals (Pelczar et al., 1993) <strong>in</strong>clud<strong>in</strong>g humans, andmost stra<strong>in</strong>s are considered to be harmless or even beneficial to the host. Some stra<strong>in</strong>showever, can cause food-borne illness, rang<strong>in</strong>g from mild diarrhoea to severe, lifethreaten<strong>in</strong>g illness such as haemolytic uraemic syndrome (HUS) and thromboticthrombocytopeanic purpura (TTP). HUS and TTP are caused by the ‘enterohaemorrhagic’stra<strong>in</strong>s, (abbreviated as EHECs), <strong>in</strong>clud<strong>in</strong>g the well known E. <strong>coli</strong> serotypes O157:H7,O26:H11 and the Garibaldi outbreak stra<strong>in</strong>, E. <strong>coli</strong> O111:NM.EHECs are believed to have very low <strong>in</strong>fectious doses, <strong>in</strong> the range of 10’s – 100’s of cells 2(Tilden et al., 1996; Doyle et al., 1997) and can cause very severe diseases, particularly <strong>in</strong>young children and the aged. Some stra<strong>in</strong>s are also relatively resistant to the lethal effects ofacid, so that they are able to survive <strong>in</strong> acidic foods such as UCFMs for extended times.Unusually high acid-tolerance and a low <strong>in</strong>fectious dose are believed, <strong>in</strong> part, to beresponsible for the survival of these stra<strong>in</strong>s of E. <strong>coli</strong> <strong>in</strong> salamis and their ability to causehuman illness (Reitsma and Henn<strong>in</strong>g, 1996; Palumbo et al., 1997).While the comb<strong>in</strong>ation of water activity, pH, lactic acid concentration and other parameters ofmost UCFM is known to be lethal to E. <strong>coli</strong>, death is not <strong>in</strong>stantaneous. Rather, thepopulation of E. <strong>coli</strong> <strong>in</strong>itially present decl<strong>in</strong>es <strong>in</strong> numbers over time. Clearly, the rate of<strong><strong>in</strong>activation</strong> will be essential knowledge <strong>in</strong> determ<strong>in</strong><strong>in</strong>g the microbiological safety of theseprocesses. In relation to the Garibaldi outbreak, the Coroner’s report (Chivell, 1995)suggested that, due to commercial pressures, the product was released for sale before thenormal maturation period had elapsed and that this contributed to the outbreak.2.2 Regulatory ResponsesSoon after the 1994 West Coast USA outbreak, regulations were <strong>in</strong>troduced <strong>in</strong> USA tom<strong>in</strong>imise the risk of pathogenic E. <strong>coli</strong> <strong>in</strong> UCFM that were based on some simple logic (R.L.Buchanan, pers. comm.). A calculation was undertaken to determ<strong>in</strong>e what level of<strong><strong>in</strong>activation</strong> of E. <strong>coli</strong> potentially present <strong>in</strong> a UCFM batter was required so that the dose of E.<strong>coli</strong> <strong>in</strong> a typical serv<strong>in</strong>g did not exceed an <strong>in</strong>fectious dose. Given the typical serv<strong>in</strong>g size andthe highest concentration of EHEC reported on raw meat a 100,000-fold reduction (5-log kill)was deemed to be required 3 . A similar strategy seems to have been adopted <strong>in</strong> Australia,except that it is coupled with a requirement that the raw <strong>in</strong>gredients must not conta<strong>in</strong> >1000CFU/g generic 4 E. <strong>coli</strong> so that a 1000-fold reduction, together with the relatively lowprevalence and concentration of EHEC on meats used <strong>in</strong> UCFM manufacture, is deemedadequate to protect public health.234For a normal size serv<strong>in</strong>g this dose could equate to a few cells per gram.As discussed <strong>in</strong> S.4.4, a revised rul<strong>in</strong>g was <strong>in</strong>stituted that comb<strong>in</strong>es the requirement for a 2-log kill with a valid HACCPprogram.i.e. all E. <strong>coli</strong>, whether pathogenic or not.Page 9 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFM3.1 History3. Uncooked Fermented Meat ProcessesFermented meats, <strong>in</strong>clud<strong>in</strong>g salami, have been manufactured for centuries (Lücke, 1985;Leistner, 1995; Ricke and Keeton, 1997). European sausages have been produced s<strong>in</strong>ce theMiddle Ages and per capita production and consumption of UCFM is still greatest <strong>in</strong> Europe.European migrants to USA and Australia brought their UCFM methods and styles with them,which have s<strong>in</strong>ce altered and ‘evolved’ <strong>in</strong> those new cultures. Ch<strong>in</strong>ese-style sausage, withpork as the ma<strong>in</strong> <strong>in</strong>gredient, is also common <strong>in</strong> Asia and dates back thousands of years(Leistner, 1995; Yu and Chou, 1997). The Thai fermented sausage Nham is also receiv<strong>in</strong>gattention <strong>in</strong> the scientific literature. Increas<strong>in</strong>g Asian immigration to Australia may see the<strong>in</strong>troduction of Asian UCFM products also, but these are not considered specifically <strong>in</strong> thisreport. Some details of manufactur<strong>in</strong>g processes for Asian UCFM, and an assessment oftheir safety relative to European UCFM processes, are given <strong>in</strong> Appendix 4.European UCFM are generally considered to fall <strong>in</strong>to two categories – semi-dry and dry. InUSA these products are broadly termed as cervelat and salami, respectively. Salamisorig<strong>in</strong>ated <strong>in</strong> the Mediterranean region, and are characterised by heavy season<strong>in</strong>g and by notbe<strong>in</strong>g smoked. These styles generally have Italian or Spanish names. As UCFM methodsspread north to cooler parts of Europe, the semi-dry sausages emerged. Typically, thesewere prepared dur<strong>in</strong>g the cooler w<strong>in</strong>ter months and stored until summer. Hence, theybecame known as ‘summer sausage’. They were less spiced, smoked at cool temperatures,and because of the cooler climate were less susceptible to spoilage. These styles typicallynow have Germanic names. An overview of UCFM styles and their characteristics is shown<strong>in</strong> Appendix 1.Appendix 2, however, illustrates the range of product names and f<strong>in</strong>al product parameters forsausages available <strong>in</strong> USA, the Toronto region of Canada, and Australia and shows thatproducts with apparently similar names can have quite different pH and water activities. InAustralia there are also many varieties of fermented sausages available. Table 3 comparesthe characteristics of Australian UCFM products marketed as ‘salami’ or ‘mettwurst’, andreveals that there is little difference despite that the ‘typical’ characteristics of these productsare very different (see Appendix 1). The evolution of the <strong>in</strong>dustry and the products of<strong>in</strong>dividual processors has meant that product names are no longer reliable descriptions ofprocess<strong>in</strong>g methods or product characteristics.3.2 Mak<strong>in</strong>g UCFMUCFM products have long shelf lives due to the comb<strong>in</strong>ation of acidification (throughfermentation or addition of the acidulant glucono-∂-lactone), removal of oxygen, addition ofcompounds that favour the growth of some microbes while retard<strong>in</strong>g the growth of others,and ultimately the removal of water. Variables <strong>in</strong> the production of fermented meats <strong>in</strong>clude:• type of meat;• amount of fat added;• starter culture used (if used);• cur<strong>in</strong>g mix composition & concentration – nitrite/nitrate levels, salt, spices, etc• fermentation time and temperature;• maturation time and temperature;• sausage diameter;• f<strong>in</strong>al pH, f<strong>in</strong>al water activity, and• recommended storage temperaturesThe relevance of each of these variables to the microbiological safety of the products isdiscussed below. Unless otherwise noted the <strong>in</strong>formation <strong>in</strong> those sections is drawn fromLücke (1985), Leistner (1995), Lücke (1995) and Ricke and Keeton (1997).Page 10 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFM3.2.1 IngredientsMeat and FatFrom a product quality perspective, the type of meat used <strong>in</strong> UCFM is important. It is lessimportant for the microbiological safety of the product, unless some types of meat are morehighly contam<strong>in</strong>ated with pathogens than others. Beef and pork are the species usedpredom<strong>in</strong>antly <strong>in</strong> UCFM production. Both are known to be contam<strong>in</strong>ated occasionally withpathogenic E. <strong>coli</strong>, as is sheep meat which appears to have slightly higher levels ofcontam<strong>in</strong>ation (Chivell, 1995; MRC, 1996, MLA, 1998) 5 . Details of levels and <strong>in</strong>cidence ofpork contam<strong>in</strong>ation by E. <strong>coli</strong> (generic or EHEC) <strong>in</strong> Australia were not found <strong>in</strong> the publishedliterature. Heuvel<strong>in</strong>k et al. (1999a) isolated EHECs from two of 145 Dutch pigs and Heuvel<strong>in</strong>ket al. (1999b) isolated EHECs <strong>in</strong> two of 402 samples of m<strong>in</strong>ced beef and pork and 1 <strong>in</strong> 393samples of other raw pork products at retail <strong>in</strong> the Netherlands. Korsak et al. (1998) isolatedEHECs from 14% of pork carcasses <strong>in</strong> Belgium slaughterhouses, and Borie et al. (1997) alsoreported high rates of contam<strong>in</strong>ation (>50%) of pork carcases at slaughter <strong>in</strong> Chile.The percentage of meat to fat, and type of fat, is also an important quality consideration, andamong the def<strong>in</strong><strong>in</strong>g characteristics of the f<strong>in</strong>ished product. Aga<strong>in</strong>, it is not importantmicrobiologically except <strong>in</strong> the sense that the proportion of fat affects the amount of freewater <strong>in</strong> the product. Of the lean muscle <strong>in</strong> the mix, about 70 –75% by weight is water. UCFMrecipes are typically described <strong>in</strong> terms of weight of additives per weight of the batch. It is theconcentration of the additives <strong>in</strong> the aqueous (water) phase of the food that is important tounderstand<strong>in</strong>g the microbiology of the product. The effective concentration of those additivesdepends on the proportion of fat <strong>in</strong> the batch. More fat <strong>in</strong> the mixture means that there is lesslean meat, which <strong>in</strong> turn means less water.As a guide, for a product conta<strong>in</strong><strong>in</strong>g 30% (by weight) fat, water makes up only about 53% ofthe weight of the batch. Thus, the effective concentration of any water soluble additives isabout twice that predicted simply on the basis of its weight compared to the overall weight ofthe batch. Dur<strong>in</strong>g matur<strong>in</strong>g of UCFM weight losses of 20 – 30% occur <strong>in</strong> ‘semi-dry’ UCFMand even more for ‘dry’ style products. This is due to loss of water only, and further <strong>in</strong>creasesthe effective concentration of the water soluble components, so that the f<strong>in</strong>al concentration isup to 4 times the apparent level added to the mixture expressed on a weight for weight basis.The meat is ground together with some or all of the follow<strong>in</strong>g <strong>in</strong>gredients. That mixture isknown as the ‘batter’.Salt (NaCl)Typically 2.5 – 3.0% NaCl (w/w) is added to UCFMs. The water activity (a w ) of the productdecreases dur<strong>in</strong>g process<strong>in</strong>g as the product loses water. Dry<strong>in</strong>g can be a rapid process,particularly if the pH is below 5.3 s<strong>in</strong>ce prote<strong>in</strong> solubility is low and a gel forms around meatand fat particles (Lücke, 1985). This facilitates the removal of water and lower<strong>in</strong>g of a w ,prevent<strong>in</strong>g growth of pathogens. As expla<strong>in</strong>ed above, this leads to effective concentrations <strong>in</strong>the typical f<strong>in</strong>ished semi-dry product of ~ 7.5 – 12 % salt, correspond<strong>in</strong>g to water activities <strong>in</strong>the range 0.95 - 0.92. Lower water activities (~0.85) are achieved <strong>in</strong> Southern Europeanstyle dry sausages (see Table 1) (Calicioglu et al., 1997; Ricke and Keeton, 1997).SugarsSugars (0.4 – 0.8%) are added to the mixture as a carbon source for the fermentativebacteria. These bacteria, usually ‘lactic acid bacteria’, metabolise the sugars produc<strong>in</strong>g lacticacid <strong>in</strong> the process, which is released <strong>in</strong>to the UCFM. The biochemistry of conversion ofsimple sugars (e.g glucose) results <strong>in</strong> almost twice as much lactic acid be<strong>in</strong>g produced as theconcentration of simple sugars added. For more complex sugars, a smaller ratio of lactic acid5In recent years there has been an epidemic of Nipah virus among pig herds <strong>in</strong> South East Asian nations. The result<strong>in</strong>gshortage <strong>in</strong> pork <strong>in</strong> those nations has opened a valuable export market for Australian pork producers. There is anecdotalevidence that this has resulted <strong>in</strong> less pork be<strong>in</strong>g available <strong>in</strong> Australia, and that lower proportions of pork are be<strong>in</strong>g used<strong>in</strong> some Australian UCFM, be<strong>in</strong>g replaced with by beef and/or muttton/lamb.Page 11 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFMto sugar results due to <strong>in</strong>complete utilisation of the carbohydrate. Other organic acids arealso produced, but at much lower levels. The presence of lactic acid reduces the pH of theproduct dur<strong>in</strong>g fermentation, typically to with<strong>in</strong> the range 4.6 – 5.0. The range of lactic acidconcentrations <strong>in</strong> f<strong>in</strong>al product is shown <strong>in</strong> Table 1. The range corresponds to total effectivelactic acid concentrations (i.e. <strong>in</strong> the water phase) of from ~100 (e.g. semi-dry) to 500mM(pepperoni).Table 1: Typical physico-chemical properties of styles of f<strong>in</strong>ished UCFM productsReproduced from Ricke and Keeton (1997).Water activity1.000.980.960.940.920.900.880.860.840.820.800.780.760.740.720.700.680.660.640.620.604.00 4.20 4.40 4.60 4.80 5.00 5.20 5.40 5.60 5.80 6.00 6.20 6.40 6.60 6.80 7.00pHFigure 1.F<strong>in</strong>al pH and water activity of fermented meat products available <strong>in</strong> North America (opendiamonds) and Australia (closed diamonds). Correspond<strong>in</strong>g product names are shown <strong>in</strong>Appendix 2. pH and water activity limits below which the product is considered safe, <strong>in</strong> theabsence of other <strong>in</strong>hibitors of microbial growth, are shown by the solid black l<strong>in</strong>esPage 12 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFMIt is accepted good manufactur<strong>in</strong>g practice that, for microbiological safety and stability,UCFM should achieve pH 1%) it can <strong>in</strong>hibit the growth of some starter cultures (see below) andcause other ta<strong>in</strong>ts which, collectively, lead to a poor quality product.Removal of OxygenAfter mix<strong>in</strong>g, the batter is stuffed <strong>in</strong>to cas<strong>in</strong>gs. This effectively removes some oxygen. Thepredom<strong>in</strong>ant spoilage organisms of raw, aerobically stored meat, will be <strong>in</strong>cluded <strong>in</strong> the mix,and quickly consume residual oxygen. The presence of ascorbate and sugars alsocontributes to the creation of a low redox potential (E h ) <strong>in</strong> the sausage.Nitrates and NitritesHistorically, nitrites and nitrates were not added deliberately to UCFM. Rather, they arose ascontam<strong>in</strong>ants <strong>in</strong> the salt that was used <strong>in</strong> the preparation of Mediterranean style salamis. It isnow realised that nitrite has an important role <strong>in</strong> the development of the p<strong>in</strong>k/red colour andtaste of various processed meats, and also <strong>in</strong> the microbiological safety of the UCFM. Nitritesand/or nitrates are usually added to the mix, either separately or as part of a commercialcur<strong>in</strong>g mix, <strong>in</strong> levels of at least 40 – 50 ppm (=mg/kg). The f<strong>in</strong>al levels of nitrite <strong>in</strong> the productmust not exceed specified levels because of concerns about the long-term human healtheffects of dietary nitrite. In Australia, there is a general requirement that processed meats donot conta<strong>in</strong> more than 125ppm nitrite. No nitrite levels are specified for UCFM, but thecomb<strong>in</strong>ed nitrite and nitrate level must not exceed 500ppm. Lücke (1995) states that no morethan 150mg nitrite is required, or 300 mg nitrate, and that nitrate may encourage growth ofEnterobacteriaceae early <strong>in</strong> the process unless sufficient nitrite is rapidly produced by theaction of starter culture organisms (see below).As discussed later, nitrite is rapidly consumed <strong>in</strong> the batter so that it is effective as an<strong>in</strong>hibitor of pathogen growth only dur<strong>in</strong>g early stages of fermentation. Riordan et al. (1998)state that sodium nitrite, stable <strong>in</strong> laboratory broth, is rapidly <strong>in</strong>activated by sodium ascorbatewhich is present <strong>in</strong> many UCFM recipes.Spices etcSpices <strong>in</strong>clud<strong>in</strong>g pepper, paprika, garlic, mace, pimento, cardamon may be added. Theirprimary role is aesthetic. Red pepper and mustard are reported to stimulate starter cultureactivity (Lücke, 1985), and garlic, rosemary and sage conta<strong>in</strong> anti-oxidant and antimicrobialcompounds that may assist <strong>in</strong> preserv<strong>in</strong>g colour, flavour and the shelf life of UCFM.SmokeAs noted earlier some UCFM products are smoked as part of the manufactur<strong>in</strong>g process.Smoke deposits a number of compounds on the outside of the sausage, which migrate <strong>in</strong>tothe product and impart flavour as well as some colour elements. Smoke compounds <strong>in</strong>cludephenols, carbonyls and organic acids and may assist to preserve the product, particularlyaga<strong>in</strong>st surface contam<strong>in</strong>ants such as moulds which sometimes colonise the cas<strong>in</strong>g ofUCFM products.Starter culturesTraditionally, a small amount of the previous batch of UCFM was used to <strong>in</strong>oculate the nextbatch of product. This may have occurred deliberately or accidentally through the re-use ofutensils used with the previous batch. Under these conditions, successful production ofPage 13 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFMUCFM was not completely reliable. The process of add<strong>in</strong>g part of the last batch to the next isknown as ‘backslopp<strong>in</strong>g’, and is now illegal <strong>in</strong> Australia because it has the potential tomagnify pathogen loads to very dangerous levels if a series of fermentations areunsuccessful.As the process<strong>in</strong>g of UCFM was “scaled up” for commercial reasons <strong>in</strong> the early part of the20 th century, the microbiology of meat fermentation was studied and the bacteria associatedwith successful fermentations were isolated and identified. Pure cultures of these stra<strong>in</strong>swere then deliberately added either s<strong>in</strong>gly or <strong>in</strong> comb<strong>in</strong>ations to improve the reliability andreproducibility of the UCFM process. The bacteria most widely used <strong>in</strong> food fermentationbelong to the lactic acid bacteria group which <strong>in</strong>clude both cocci and bacilli and belong to thegenera Streptococcus, Lactococcus, Leuconostoc, Pediococcus, Bifidobacterium andLactobacillus (Wigley, 2000).Starter cultures are added at high levels (e.g. 10 6 – 10 7 CFU/g of mix) so that they rapidlydom<strong>in</strong>ate the microbiota of the mix and beg<strong>in</strong> to reduce the pH, thereby m<strong>in</strong>imis<strong>in</strong>g thepotential for growth of pathogenic bacteria that may be present. In a review of lactic acidbacterial fermentation and the pr<strong>in</strong>cipal antimicrobial factors produced by lactic acid bacteriaAdams and Nicolaides (1997) concluded that the pr<strong>in</strong>cipal antimicrobial factor is the ability ofall lactic acid bacteria to produce organic acids and decrease the pH of foods <strong>in</strong> which theygrow.In Australia, use of starter cultures is now required by regulation. Larger manufacturers maybe able to develop and ma<strong>in</strong>ta<strong>in</strong> their own starter cultures, but most manufacturers purchasethem from commercial suppliers. Starter cultures usually comprise Lactobacillus sakei,Lactobacillus curvatus, Lactobacillus plantarum, Pediococcus acidilactici or Pediococcuspentosaceus either s<strong>in</strong>gly or <strong>in</strong> comb<strong>in</strong>ation. Some other species are also used, e.g.Staphylococcus carnosus, Staphylococcus xylosus, Kocuria varians (form. Micrococcusvarians) though less commonly. In Mediterranean style UCFM moulds may be applied to theoutside of the cas<strong>in</strong>g after stuff<strong>in</strong>g.3.2.2. The ProcessThe fundamental steps <strong>in</strong>volved <strong>in</strong> the production of UCFM are:• chopp<strong>in</strong>g and mix<strong>in</strong>g of <strong>in</strong>gredients, and fill<strong>in</strong>g <strong>in</strong>to cas<strong>in</strong>g;• fermentation, and• dry<strong>in</strong>g (or maturation)In the USA a heat<strong>in</strong>g step is often applied after fermentation to elim<strong>in</strong>ate pathogens. Thisprocess is not strictly “non-thermal”, and the heated product is often classified as low-cooked(Calicioglu et al., 1997; Montel, 2000). Just as the mix of <strong>in</strong>gredients varies between UCFMstyles, so too does the size of the meat and fat particles, the time and temperature offermentation and the time and temperature of dry<strong>in</strong>g. Some variations are illustrated <strong>in</strong> Table2, and presented diagrammatically <strong>in</strong> Figure 2. Variation <strong>in</strong> the composition of AustralianUCFM batters and fermentation and maturation conditions is shown <strong>in</strong> Table 3.Each of these variables is regarded as contribut<strong>in</strong>g to the overall character of the product,and manufacturers are often loath to change recipes and methods out of concern that it willchange the characteristics of a successful product (Vanderl<strong>in</strong>de, 1999). Similarly, postfermentationheat<strong>in</strong>g of many traditional fermented meat products can alter the productquality (colour, texture, flavour) and is unacceptable to many processors.3.2.3 Critical Control Po<strong>in</strong>tsProduction of safe UCFM relies largely on prevention of the growth of pathogens dur<strong>in</strong>g thefermentation step and maximis<strong>in</strong>g death of surviv<strong>in</strong>g pathogens dur<strong>in</strong>g maturation andstorage. The safety of the process requires best quality raw materials. If high microbial loadsare present on the raw materials they can retard the desirable activity of the starter cultures.Moreover, if high pathogen loads are present, the overall UCFM process is unlikely toelim<strong>in</strong>ate them reliably, as the follow<strong>in</strong>g review of the literature will demonstrate. A furtherPage 14 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFMhazard arises because the <strong>in</strong>itial stages of the fermentation process can permit growth ofenteric pathogens such as Salmonella, E. <strong>coli</strong> and S. aureus. The rapid acidification of themedium by the starter culture is a critical control po<strong>in</strong>t that is easily monitored by check<strong>in</strong>gthe rate of pH decl<strong>in</strong>e <strong>in</strong> UCFM sausages dur<strong>in</strong>g fermentation (Bacus, 1997). Slowacidification <strong>in</strong>dicates that the fermentation may have allowed the growth of pathogens andthat the product may be unsafe. Specification of the time to reach a target pH for eachprocess represents a critical limit with<strong>in</strong> a HACCP plan. This is also implicitly recognised <strong>in</strong>GMPs promulgated by the American Meat Institute (Marsden, 1995), <strong>in</strong> which the degreehoursconcept is presented. In this approach, upper time limits for the pH of the batter toreach pH 5.3 at different temperatures are specified. The higher the temperature, the fasterthe potential growth of E. <strong>coli</strong> and the lower the amount of time that can be tolerated for thepH to decl<strong>in</strong>e to 5.3. Time–temperature comb<strong>in</strong>ations consistent with GMP, but designed forprevent<strong>in</strong>g unacceptable growth of S. aureus are shown <strong>in</strong> Table 4.Table 2 Some typical process<strong>in</strong>g parameters for various UCFM Styles(Reproduced from Montel, 2000).Page 15 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFMFigure 2. Flow diagram show<strong>in</strong>g the steps <strong>in</strong> process<strong>in</strong>g of various styles of UCFM (Reproduced fromLücke, 1995)Table 3. Average characteristics of Australian UCFM processes and products*Characteristic“Salami”“Mettwurst”(range of variation)(range of variation)Composition (lean%:fat%) 80.4:19.6 83.25: 16.75(70: 30 -90:10) (70: 30-96:4)NaCl (%)2.45(2.0 - 3.3)2.02(1.3 - 2.8)Nitrite (ppm)284(145- 490)211(35 - 490)F<strong>in</strong>al pH4.72(5.0 - 4.4)4.66(4.8 - 4.4)Fermentation time (hrs) 49(24 - 72)42(18 - 72)Fermentation temp. (°C) 23.3(18 - 28)28.6(17 - 40)Ripen<strong>in</strong>g time (days) 14.8(1 - 30)5.3(0 – 28)Ripen<strong>in</strong>g temp. (°C) 14.1(4 - 32)18(0 - 40)*Derived from data supplied by ANZFA reflect<strong>in</strong>g current Australian product formulations.Page 16 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFMTable 4. Time limits for various fermentation temperatures consistent with GoodManufactur<strong>in</strong>g Practice (Bacus, 1997).Highest Incubation TemperatureTime /Temperature Tolerance Consistent withGMP(°C)(degree-hours*)


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFM4.1. Introduction4. Non-thermal <strong><strong>in</strong>activation</strong> of Escherichia <strong>coli</strong>Thermal process<strong>in</strong>g, i.e. heat<strong>in</strong>g or cook<strong>in</strong>g, is used rout<strong>in</strong>ely by the food <strong>in</strong>dustry as aneffective means of reduc<strong>in</strong>g or elim<strong>in</strong>at<strong>in</strong>g microbial pathogens on foods. One of the bestknown examples of thermal process<strong>in</strong>g is the “botul<strong>in</strong>um cook” employed by the cann<strong>in</strong>g<strong>in</strong>dustry (Peleg and Cole, 2000). There have been numerous studies to determ<strong>in</strong>e the ratesof thermal <strong><strong>in</strong>activation</strong> of microbial pathogens <strong>in</strong> foods. Many of these are summarised <strong>in</strong>ICMSF (1996). The processes of thermal <strong><strong>in</strong>activation</strong> are relatively well understood, rely<strong>in</strong>gon the “melt<strong>in</strong>g” of bacterial membrane lipids, or disturbances to the conformation of keymacromolecules <strong>in</strong> microbial cells that are needed for metabolism and growth. Thosechanges make the molecules function less efficiently or make cell membranes ‘leaky’ so thatthe cell homeostasis is disrupted. As temperature is <strong>in</strong>creased, function is completely lost.Eventually those molecules are irreversibly changed and, effectively, destroyed. SomeUCFM manufacturers (particularly <strong>in</strong> USA) use a thermal step to enhance destruction of E.<strong>coli</strong>. The efficacy of thermal processes on E. <strong>coli</strong> are considered <strong>in</strong> 4.3.3.In traditional fermentations temperatures are well below 50°C which means that the<strong><strong>in</strong>activation</strong> of E. <strong>coli</strong> dur<strong>in</strong>g UCFM production is not due to temperature, i.e. it is ‘nonthermal’.In contrast to thermal <strong><strong>in</strong>activation</strong>, data concern<strong>in</strong>g the k<strong>in</strong>etics of non-thermaldeath are scarce, and the mechanisms responsible for death are not well understood, therehav<strong>in</strong>g been little systematic research <strong>in</strong> this field.4.2 Ecophysiology of Escherichia <strong>coli</strong>Studies at the University of Tasmania suggest that when growth of non-spore form<strong>in</strong>gbacteria such as E. <strong>coli</strong> is not possible, death occurs. The rate of death, and factorscontribut<strong>in</strong>g to it, are considered <strong>in</strong> greater detail later <strong>in</strong> this report. For this reason, it iscritically important to have knowledge of the limits to growth of E. <strong>coli</strong> to be able to predict thefate of E. <strong>coli</strong> dur<strong>in</strong>g UCFM manufacture.The environmental limits to growth of E. <strong>coli</strong> are well characterised (Shaw et al., 1971; Trollerand Christian, 1978; Presser et al., 1998; Salter et al., 2000). They are comprehensivelyreviewed <strong>in</strong> ICMSF (1996) and are summarised <strong>in</strong> Table 5. The limits <strong>in</strong> Table 5 representthe broadest ranges of tolerance for any stra<strong>in</strong>. Limits may vary somewhat by test methods,growth medium and stra<strong>in</strong>, even <strong>in</strong>clud<strong>in</strong>g variation between isolates of the same serotype ofpathogenic E. <strong>coli</strong> (Grau, 1996; Brown et al., 1997; Vanderl<strong>in</strong>de, 1999; Diez-Gonzalez, et al.,1998; Waterman and Small, 1996).Table 5. Growth limits of Escherichia <strong>coli</strong> <strong>in</strong> response to factors relevant to UCFMFactor m<strong>in</strong>imum maximumWater Activity (aw, common salt as humectant) ~ 0.95 0.999Temperature (°C) ~ 7.5 ~ 49*pH 3.9 10Undissociated Lactic Acid8 – 10 mM* most reviews and reports suggest that growth does not occur at pH


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFM<strong>in</strong>terest is the observation (see Presser et al., 1998, Salter et al., 2000) that the ability ofE. <strong>coli</strong> to withstand pH or water activity <strong>in</strong>hibition of growth is greatest <strong>in</strong> the temperaturerange 25 – 30°C 6 . Fermentation temperatures <strong>in</strong> Australian UCFM processes are usually <strong>in</strong>this range.4.3 Non-thermal <strong><strong>in</strong>activation</strong> k<strong>in</strong>etics <strong>in</strong> laboratory broth systems4.3.1 pH, water activity, lactateBrown and colleagues (J. Brown, <strong>in</strong> preparation) and Shadbolt et al. (1999) exam<strong>in</strong>ed theeffects of lethal pH and water activity over a range of temperatures that were not lethal toE. <strong>coli</strong>. They reported triphasic and biphasic <strong><strong>in</strong>activation</strong> curves <strong>in</strong> response to lethal pH anda w , respectively. Representative non-thermal <strong><strong>in</strong>activation</strong> plots are shown <strong>in</strong> Figures 3, for<strong><strong>in</strong>activation</strong> of E. <strong>coli</strong> due to lethal pH (due to hydrochloric acid) and a w (due to NaCl) at25°C.There are several features to note <strong>in</strong> Figures 3. When the stress is first imposed, a rapidphase of death is observed <strong>in</strong>itially, which is more pronounced with <strong>in</strong>creased severity of thelethal agent (i.e. lower pH, or lower water activity). The size of the first phase kill appearsproportional to the magnitude of stress imposed by the environment.The size of the first phase kill is also dependent on the growth phase. Exponential phasecells are well documented to be more sensitive to a range of stresses and environmentalshocks, and a greater first phase kill is observed for exponential phase cells. Nonetheless, 3-log kills are observed <strong>in</strong> stationary phase cells subjected to abrupt shift to pH 3.5 at 25°C.This change <strong>in</strong> pH, however, is bigger and faster than that which would occur <strong>in</strong> manufactureof UFCM. Similarly, the water activity shock that addition of salt to a UCFM batter causes (i.eto ~.0.95 –0.96) would be expected to result <strong>in</strong> 0.5 – 1.0 log kill at 25°C. However, as themeat is chilled when the salt is added to the batter, the reduction may be less as Figure 4ashows. Figures 4 show the effect of temperature on the rate of <strong><strong>in</strong>activation</strong> due to wateractivity stress <strong>in</strong> both phase 1 and phase 2. Figure 4a shows that the rate of <strong><strong>in</strong>activation</strong> dueto water activity stress at 4°C (batters when mixed are typically 0 – 3°C) is ~150 times slowerthan that at 25°C (data <strong>in</strong> Figure 3b).Follow<strong>in</strong>g the first phase <strong><strong>in</strong>activation</strong>, a second, slower, death rate persists for extendedperiods and appears to be largely <strong>in</strong>dependent of the magnitude of the lethal agent. Otherworkers have also reported biphasic or multiphasic <strong><strong>in</strong>activation</strong> patterns (Gustafson et al.,1998; Humpheson et al., 1998; R.L. Buchanan, pers. comm., 1997).F<strong>in</strong>ally, a third faster phase of <strong><strong>in</strong>activation</strong> is seen <strong>in</strong> some studies <strong>in</strong>volv<strong>in</strong>g pH-<strong>in</strong>duced<strong><strong>in</strong>activation</strong>, and is seen <strong>in</strong> Figure 3a. That phase of <strong><strong>in</strong>activation</strong> has been frequentlyobserved by Brown (<strong>in</strong> preparation), and was also observed by Buchanan (R.L. Buchanan,pers. comm., 1997), but appears to be observed only after long periods of <strong>in</strong>cubation. It isprobable that most workers do not follow <strong><strong>in</strong>activation</strong> k<strong>in</strong>etics for sufficiently long times toreveal the third phase. If a third phase of <strong><strong>in</strong>activation</strong> occurs <strong>in</strong> UCFM processes, it couldhave great significance because it could represent a critical time limit beyond which theproduct rapidly becomes safer.There is limited <strong>in</strong>formation on the comb<strong>in</strong>ed effect of pH and water activity. The results ofShadbolt et al. (submitted), however, suggest that water activity may impose little additionalstress or lethality when present <strong>in</strong> comb<strong>in</strong>ation with a lethal pH. This observation parallelsthat of Krist et al. (1998) who showed that the mechanism of water activity <strong>in</strong>hibition of E. <strong>coli</strong>growth rate differs from that of pH. Overall, the results suggest that pH and water activitystresses act <strong>in</strong> different ways aga<strong>in</strong>st E. <strong>coli</strong>.6An explanation for this phenomenon was proposed by Ross (1999).Page 19 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFMJordan et al. (1999) reported that the acid tolerance of E. <strong>coli</strong> O157:H7 stra<strong>in</strong>s can beovercome by addition of lactate, and that kill<strong>in</strong>g can be <strong>in</strong>creased by as much as 4 log units<strong>in</strong> the first 5 m<strong>in</strong> of <strong>in</strong>cubation at pH 3 even for the most acid-tolerant isolates. While this pHis well below that of the conditions <strong>in</strong> UCFMs, exponential-phase, habituated, and stationaryphasecells were all reported to be sensitive to <strong>in</strong>cubation with lactate. As with pH, themechanisms of <strong><strong>in</strong>activation</strong> are poorly understood.a)pHb)Figure 3a. Inactivation k<strong>in</strong>etics of exponential phase E. <strong>coli</strong> cells <strong>in</strong> pH-modified laboratory brothmedium at 25°C and show<strong>in</strong>g the effect of ‘severity’ of pH. (data of J. Brown, <strong>in</strong> preparation).b. Inactivation k<strong>in</strong>etics of stationary phase E. <strong>coli</strong> cells <strong>in</strong> water activity-modified laboratorybroth medium, and show<strong>in</strong>g the effect of ‘severity’ of water activity stress (Reproduced fromShadbolt et al., 1999).Page 20 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFM4.3.2 Temperature effect <strong>in</strong> comb<strong>in</strong>ation with water activity and pHShadbolt et al. (1999) considered the comb<strong>in</strong>ed effect of temperature and water activity onthe rate of <strong><strong>in</strong>activation</strong> due to <strong>in</strong>imical water activity <strong>in</strong> both phase 1 and phase 2 (Figures 4).Typical water activity levels <strong>in</strong> UCFM range from 0.85 – 0.95. Typical temperatures ofprocess<strong>in</strong>g range from 10 – 40°C. Figures 4 illustrate that, <strong>in</strong> the range of conditions likely tobe experienced <strong>in</strong> preparation of UCFM, the variation <strong>in</strong> temperature will have a much largereffect on the rate of <strong><strong>in</strong>activation</strong> than variation <strong>in</strong> water activity of the product. The difference<strong>in</strong> <strong><strong>in</strong>activation</strong> rate due to temperature at 10°C compared to 40°C is of the order of 400-foldat any water activity, while the difference due to water activity <strong>in</strong> the range from 0.85 to 0.95is about 2 - 3 fold at any temperature. The same is true for both phase 1 and phase 2<strong><strong>in</strong>activation</strong> rates.Figure 4.Comparative effects of temperature and water activity on phase 1 and phase 2 <strong><strong>in</strong>activation</strong>of E. <strong>coli</strong>. (Reproduced from Shadbolt et al., 1999).There is less data available by which to assess the relative effect of pH on E. <strong>coli</strong> <strong><strong>in</strong>activation</strong>rate over the range of relevance for UCFM (~4.2 - ~5.8, see Figure 1). However, it appearsthat pH has a slightly greater effect than water activity on the rate of <strong><strong>in</strong>activation</strong>, but not asgreat an effect as temperature (see Section 5.2; Casey and Condon, 2000). There is yet lessdata by which to assess the relative effect of organic acids, at levels relevant to UCFM, on<strong><strong>in</strong>activation</strong> rates.4.3.3 Thermal vs. non-thermal <strong><strong>in</strong>activation</strong>.An ‘Arrhenius plot’ <strong>in</strong>volves graph<strong>in</strong>g the reciprocal of absolute temperature (Kelv<strong>in</strong> scale)aga<strong>in</strong>st the logarithm of the rate of reaction, i.e. <strong>in</strong> this case, <strong><strong>in</strong>activation</strong> or rate of cell death.It can provide <strong>in</strong>formation about the mechanism of <strong><strong>in</strong>activation</strong>. If the Arrhenius plot is astraight l<strong>in</strong>e, the reaction lead<strong>in</strong>g to <strong><strong>in</strong>activation</strong> is a first-order reaction. On the plot, data thatare higher on the Y-axis represent faster <strong><strong>in</strong>activation</strong> rates. Also, l<strong>in</strong>es of different slope are<strong>in</strong>dicative of different mechanisms of reaction, because the reaction has a different (relative)response to temperature. Shadbolt et al. (1999) compared their data for the rate of<strong><strong>in</strong>activation</strong> of E. <strong>coli</strong> <strong>in</strong> response to lethal water activity <strong>in</strong> the normal temperature range forgrowth of E. <strong>coli</strong> (8 – ~50°C) to data from other sources which were at temperatures abovethe growth range (i.e. above 50°C). Those data are shown <strong>in</strong> Figure 5.Page 21 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFMFigure 5.Arrhenius plot of ‘thermal’ and non-thermal (low water activity) <strong><strong>in</strong>activation</strong> of E. <strong>coli</strong> stra<strong>in</strong>s(Reproduced from Shadbolt et al., 1999).There is a dist<strong>in</strong>ct difference <strong>in</strong> slope above and below 50°C, re<strong>in</strong>forc<strong>in</strong>g the proposition thatthe mechanisms <strong>in</strong>volved <strong>in</strong> thermal and non-thermal <strong><strong>in</strong>activation</strong> are different. This will befurther supported by data presented <strong>in</strong> Section 5.2. Importantly, the relative effect of achange <strong>in</strong> temperature on the rate of <strong><strong>in</strong>activation</strong> is much greater at temperatures above theupper temperature limit for E. <strong>coli</strong> growth than temperature <strong>in</strong> the normal range for growth.4.3.4 ConclusionsFrom the studies and data reviewed above, several general rules about non-thermal<strong><strong>in</strong>activation</strong> <strong>in</strong> laboratory broth under conditions of relevance to UCFM process<strong>in</strong>g emerge:i. <strong>in</strong>creased temperature results <strong>in</strong> faster rates of <strong><strong>in</strong>activation</strong> over all phases of death;ii. the sensitivity of <strong><strong>in</strong>activation</strong> to temperature change is greater at temperatures > ~50°Ciii. the <strong>in</strong>itial rapid decl<strong>in</strong>e <strong>in</strong> cell numbers is <strong>in</strong>fluenced by the sensitivity of the cell(exponential phase cells are known to be more susceptible to many stresses 7 );iv. the <strong>in</strong>itial rapid decl<strong>in</strong>e <strong>in</strong> cell numbers (“Phase 1”) is <strong>in</strong>fluenced by the magnitude of the‘shock’, i.e. the rate and magnitude of environmental change;v. the relative effect of temperature on rate of <strong><strong>in</strong>activation</strong> appears to be more importantthan that of pH and water activity <strong>in</strong> the ranges of relevance to UCFM.4.4 K<strong>in</strong>etics of Inactivation dur<strong>in</strong>g UCFM ProductionFigures 6a – c <strong>in</strong>dicate the changes that occur dur<strong>in</strong>g the fermentation and maturation ofUCFM. Those data are reproduced from Grau (1996), but are representative of the results ofmany other studies (e.g. Glass et al., 1992; H<strong>in</strong>kens et al., 1996; Riordan et al., 1998; Caseyand Condon, 2000).The results <strong>in</strong> Figures 6 require some <strong>in</strong>terpretation <strong>in</strong> relation to the k<strong>in</strong>etics of <strong><strong>in</strong>activation</strong>.The first is that the <strong>in</strong>itial rapid decl<strong>in</strong>e is not necessarily the same process as the Phase 1<strong><strong>in</strong>activation</strong> discussed <strong>in</strong> the Section 4. Fermentation temperatures are usually much higherthan maturation temperatures. As was suggested by the data presented earlier, and as willbe demonstrated clearly <strong>in</strong> Section 5.1, temperature has a relatively large effect on the rateof <strong><strong>in</strong>activation</strong>. Hence, the apparent rapid decl<strong>in</strong>e <strong>in</strong> survivors is most likely due to the higher7Recent results (J. Brown, pers. comm., October 2000) suggest that E. <strong>coli</strong> reaches an optimum level of resistance to acidshock <strong>in</strong> early stationary phase, but that this resistance then beg<strong>in</strong>s to decl<strong>in</strong>e aga<strong>in</strong>. See Figure 15, Section 6.Page 22 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFMtemperature employed dur<strong>in</strong>g fermentation compared to maturation. The temperaturedifference between fermentation and maturation is ~ 10°C.Figure 6.Changes <strong>in</strong> numbers of E. <strong>coli</strong>, pH and water activity <strong>in</strong> a typical UCFM process with andwithout added GDL (reproduced from Grau, 1996). Note that the temperature of the processwas 25-26°C until day 3, and 15 –16°C thereafter.The addition of GDL significantly <strong>in</strong>creased the rate of pH fall and the f<strong>in</strong>al pH of the productafter fermentation. This resulted <strong>in</strong> a larger and more rapid kill dur<strong>in</strong>g fermentation and afaster rate of <strong><strong>in</strong>activation</strong> dur<strong>in</strong>g maturation. Thus, a pH difference of ~0.7 resulted <strong>in</strong> a muchgreater level of <strong><strong>in</strong>activation</strong> dur<strong>in</strong>g the preparation of this product. From Figure 6a, however,it appears that most of the difference <strong>in</strong> the amount of <strong><strong>in</strong>activation</strong> was due to the fasterdecl<strong>in</strong>e <strong>in</strong> pH, i.e that despite the pH difference dur<strong>in</strong>g maturation the rate of <strong><strong>in</strong>activation</strong> isPage 23 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFMWang et al. (1996) followed the fate of E. <strong>coli</strong> O157:H7 <strong>in</strong> cattle faeces at three differenttemperatures for 77 days. In the faeces, the pH and water activity <strong>in</strong>itially permit growth of E.<strong>coli</strong> if the temperature is 22 or 37°C. At 5°C no growth occurs. The pH does not vary greatlydur<strong>in</strong>g the 77 days of storage, and was nearly optimal under all conditions. At 22 and 37°C,however, the faeces dehydrated and with<strong>in</strong> 4 and ~2.5 days respectively, the water activity ofthe faeces fell below 0.95, the lower limit for E. <strong>coli</strong> growth. Under 5°C storage, littledehydration occurred and the water activity rema<strong>in</strong>ed at levels that would otherwise permitE. <strong>coli</strong> growth throughout the experiment.Interest<strong>in</strong>gly, while growth was possible <strong>in</strong> faeces held at growth permissive temperaturesuntil the water activity became limit<strong>in</strong>g, for the faeces held at 5°C it appears that temperatureis the only factor prevent<strong>in</strong>g growth. Under these conditions the E. <strong>coli</strong> population decl<strong>in</strong>edsteadily. We <strong>in</strong>terpret these results as strong support for our hypothesis that as soon asconditions <strong>in</strong> the UCFM batter change to the po<strong>in</strong>t where E. <strong>coli</strong> growth is prevented, death ofthe population beg<strong>in</strong>s. Another <strong>in</strong>terest<strong>in</strong>g feature seen <strong>in</strong> the data of Wang et al. (1996) isthe rapid <strong>in</strong>itial <strong><strong>in</strong>activation</strong> of E. <strong>coli</strong> when the water activity first falls below 0.95. This maybe analogous to phase 1 <strong><strong>in</strong>activation</strong> and result from the <strong>in</strong>creased sensitivity of the cellswhich, judg<strong>in</strong>g by the <strong>in</strong>crease <strong>in</strong> numbers to that time, are <strong>in</strong> exponential phase culture. Itdoes not occur <strong>in</strong> the material <strong>in</strong>cubated at 5°C, a temperature that prevents growth ofE. <strong>coli</strong>.4.4.1 Ecology of E. <strong>coli</strong> dur<strong>in</strong>g fermentationThe pr<strong>in</strong>cipal means of suppression of the growth of Enterobacteriaceae, <strong>in</strong>clud<strong>in</strong>g E. <strong>coli</strong>dur<strong>in</strong>g fermentation, is the reduction <strong>in</strong> water activity of the mixture, although nitrite probablycontributes also (Casey and Condon, 2000). Typically, the water activity of the mix is <strong>in</strong> thea w range 0.955 – 0965. Models under development at the University of Tasmania suggestthat the comb<strong>in</strong>ation of pH, water activity and lactic acid <strong>in</strong> the mix would most probablypermit growth at a w 0.965 and temperatures above 15°C (K. Presser, pers. comm., 2000). Ata water activity of 0.955, growth would not be expected to occur at temperatures less than~22°C. However, most fermentations are performed at temperatures higher than this. Ifgrowth is possible, e.g. due to slow acidification or dry<strong>in</strong>g, predicted generation times ortimes for lag time resolution can be determ<strong>in</strong>ed, as shown <strong>in</strong> Table 6.Anaerobic growth rates would be slower than those shown <strong>in</strong> Table 6 (possibly by 30 – 40%)and a lag time, equivalent to several generations of growth, would also be expected(Mellefont, 2001). On the basis of times and temperatures commonly employed dur<strong>in</strong>gUCFM manufacture, at the completion of fermentation to pH


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFMWhile growth <strong>in</strong> the batter is possible <strong>in</strong> theory, <strong>in</strong> most of the studies of the fate of E. <strong>coli</strong>dur<strong>in</strong>g UCFM manufacture death, rather than growth, is observed dur<strong>in</strong>g fermentation. Thesestudies are described more fully <strong>in</strong> Section 4.4.3. If should be noted, however, that very fewstudies have measured the changes <strong>in</strong> numbers of E. <strong>coli</strong> dur<strong>in</strong>g fermentation, most rely<strong>in</strong>gon the change <strong>in</strong> number between the beg<strong>in</strong>n<strong>in</strong>g and the end of the fermentation step. The<strong>in</strong>terpretation of the microbial ecology of E. <strong>coli</strong> dur<strong>in</strong>g fermentation developed above is onlypartly consistent with that of Grau (1996) who wrote: “Thus, death of E. <strong>coli</strong> <strong>in</strong> fermentedmeats appears to be dependent on both pH and dry<strong>in</strong>g dur<strong>in</strong>g fermentation and pH anddry<strong>in</strong>g dur<strong>in</strong>g maturation….. It also means that the time taken to dry the sausage may be animportant factor”. We <strong>in</strong>stead consider that pH and dry<strong>in</strong>g are important <strong>in</strong> determ<strong>in</strong><strong>in</strong>g whendur<strong>in</strong>g the manufacture of UCFM <strong><strong>in</strong>activation</strong> commences, but that time and temperaturesubsequent to that are the most <strong>in</strong>fluential factors dictat<strong>in</strong>g the amount of <strong><strong>in</strong>activation</strong> that willoccur. Because temperature is higher dur<strong>in</strong>g fermentation, the sooner conditions <strong>in</strong> the batterprevent E. <strong>coli</strong> growth, the greater the <strong><strong>in</strong>activation</strong> dur<strong>in</strong>g fermentation. The ~10°C differencebetween fermentation and <strong><strong>in</strong>activation</strong> temperatures means that <strong><strong>in</strong>activation</strong> rates may be 3– 4 times faster dur<strong>in</strong>g fermentation (e.g. 25°C) than maturation (e.g. 15°C; see Section 5.1).A f<strong>in</strong>al consideration <strong>in</strong> the above <strong>in</strong>terpretation will be the effect of temperature change. Thefermentation process starts at a low temperature (0 – 3°C), which can retard both growth and<strong><strong>in</strong>activation</strong> processes. Thus, the rate of temperature <strong>in</strong>crease and water activity and pHdecl<strong>in</strong>e may all need to be considered to predict the level of <strong><strong>in</strong>activation</strong> dur<strong>in</strong>g fermentation.Water activityAs <strong>in</strong>dicated <strong>in</strong> Table 5 the lower water activity limit for growth of E. <strong>coli</strong> and other Gram (-)rods is ~0.95. As <strong>in</strong>dicated <strong>in</strong> Section 3.2.1 the comb<strong>in</strong>ation of the amount of salt added, andthe amount of water <strong>in</strong> the mix (effectively dictated by the total fat content of the mix),governs the water activity of the product at this stage. In most mixes this is usually <strong>in</strong> therange 0.955 – 0.965, <strong>in</strong>sufficient on its own to prevent growth (see Section 4.2). Asfermentation progresses, the product dries and a w is reduced to the po<strong>in</strong>t where it doesprevent E. <strong>coli</strong> growthThe importance of reduc<strong>in</strong>g water activity dur<strong>in</strong>g fermentation is highlighted <strong>in</strong> Grau (1996; p.32, 63), and suggested by the results of Vanderl<strong>in</strong>de (1999). Both studies found that if dry<strong>in</strong>gdoes not occur dur<strong>in</strong>g fermentation, <strong><strong>in</strong>activation</strong> is greatly reduced. As <strong>in</strong>dicated earlier,decreas<strong>in</strong>g water activity does not appear to affect <strong><strong>in</strong>activation</strong> rate greatly, furthersupport<strong>in</strong>g the <strong>in</strong>terpretation developed to this po<strong>in</strong>t. Water activity cont<strong>in</strong>ues to decreasedur<strong>in</strong>g maturation and is dependent on the <strong>in</strong>gredients <strong>in</strong> the sausage, fermentationtemperature and relative humidity of the dry<strong>in</strong>g room (Leistner, 1995).NitriteThere is disagreement about the role and effect of nitrite <strong>in</strong> UCFM production. Yu and Chou(1997) demonstrated that low concentrations had little effect on the death of E. <strong>coli</strong>. Leistner(1995) considers that dur<strong>in</strong>g fermentation nitrite <strong>in</strong>hibits salmonellae which may be present <strong>in</strong>the batter. Lücke (1995) states that nitrite contributes to the <strong>in</strong>hibition of Enterobacteriaceae<strong>in</strong>clud<strong>in</strong>g salmonellae and E. <strong>coli</strong> early <strong>in</strong> the fermentation. Grau (1996, p. 39) reported thatnitrite was rapidly consumed <strong>in</strong> UCFM and that it has no long term role <strong>in</strong> <strong><strong>in</strong>activation</strong> ofE. <strong>coli</strong> dur<strong>in</strong>g the production of UCFM. The results of Casey and Condon (2000) support thisobservation, and aga<strong>in</strong> <strong>in</strong>dicate that while higher concentrations of nitrite <strong>in</strong>crease theamount on <strong><strong>in</strong>activation</strong> dur<strong>in</strong>g fermentation, they have no effect on the rate of <strong><strong>in</strong>activation</strong>dur<strong>in</strong>g maturation. Other authors state that the primary roles of nitrite are the formation ofcharacteristic colour, flavour and texture, and <strong>in</strong>hibition of Clostridium botul<strong>in</strong>um growth andtox<strong>in</strong> formation (Mossel et al., 1995; Davidson, 1997). The effectiveness of nitrite is pHdependent. Gibson and Roberts (1986) found limited <strong>in</strong>hibition of E. <strong>coli</strong> at levels used <strong>in</strong>fermented meats with various NaCl concentrations and pH as did Casey and Condon (2000).Thus the role of nitrite is unclear, but it is unlikely to be a significant hurdle to E. <strong>coli</strong> growth,except <strong>in</strong> comb<strong>in</strong>ation with other hurdles such as reduced pH and water activity. In thiscontext, it may br<strong>in</strong>g the conditions <strong>in</strong> the batter closer to the growth/no growth <strong>in</strong>terface andhasten the transition to no growth (i.e. lethal) conditions.Page 26 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFM98765432109187650.95432100.90 1 2 3 4 5 6 7 8 9 10Time (days)110 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80Time (days)10.950.90.850.80.750.70.650.60.550.50.450.40.350.3Page 27 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFMFigure 8 (fac<strong>in</strong>g page). Data of Wang et al. (1996) show<strong>in</strong>g the population dynamics of E. <strong>coli</strong> O157:H7 <strong>in</strong>bov<strong>in</strong>e faeces <strong>in</strong> relation to temperature, and pH and water activity changes <strong>in</strong> the product.Figures A and B (reproduced from Wang et al., 1996) show the population changes at 5°C(open circles), 22°C (open squares) and 37°C (closed circles) <strong>in</strong> the faeces for <strong>in</strong>itial E. <strong>coli</strong>populations of 10 3 or 10 5 cful/ml. Figure C and <strong>in</strong>set (first 10 days) show the time at whichthe conditions <strong>in</strong> the faeces first prevent growth of E. <strong>coli</strong> due to water activity depression(i.e. below ~0.95), and its co-<strong>in</strong>cidence with the sudden decl<strong>in</strong>e <strong>in</strong> the population of E. <strong>coli</strong> <strong>in</strong>the faeces. pH and a w values are shown by closed and open symbols respectively (5°C,squares; 22°C, circles; 37°C, diamonds). The arrows <strong>in</strong>dicate data that were obta<strong>in</strong>ed by anenrichment method and that are not fully quantitative, but rather represent a detection limitof 1 CFU/g, i.e. 0 LogCFU/gOrganic acidsThe pr<strong>in</strong>ciple organic acid produced dur<strong>in</strong>g fermentation is lactic acid. The potential forgrowth of E. <strong>coli</strong> will be limited also by undissociated lactic acid <strong>in</strong> the batter, <strong>in</strong>itially present<strong>in</strong> the meat at levels <strong>in</strong> the millimolar range, but this is <strong>in</strong>sufficient on its own to preventE. <strong>coli</strong> growth (see Section 4.2).4.4.2 Ecology of E. <strong>coli</strong> dur<strong>in</strong>g maturationAs stated earlier, there is little knowledge or understand<strong>in</strong>g of the processes of non-thermal<strong><strong>in</strong>activation</strong>. Most of the available data (presented earlier and reviewed <strong>in</strong> detail <strong>in</strong> Section 5)suggest that once conditions <strong>in</strong> the batter prevent growth few factors, other thantemperature, have a strong effect on the rate of <strong><strong>in</strong>activation</strong>. A common feature of the datadescrib<strong>in</strong>g E. <strong>coli</strong> <strong><strong>in</strong>activation</strong> dur<strong>in</strong>g maturation is that rate of <strong><strong>in</strong>activation</strong> is generally quitesteady at constant temperature despite the changes <strong>in</strong> water activity, pH and, by <strong>in</strong>ference,organic acid concentration.4.4.3 In–product studies of the potential for a 3-log kill dur<strong>in</strong>g UCFM productionIn response to the West Coast USA salami outbreak, and subsequently <strong>in</strong>troducedlegislation, a series of studies of the k<strong>in</strong>etics of <strong><strong>in</strong>activation</strong> of E. <strong>coli</strong> <strong>in</strong> UCFM products wasundertaken. Many of these orig<strong>in</strong>ate <strong>in</strong> USA, and were undertaken by the Food ResearchInstitute (FRI) at the University of Wiscons<strong>in</strong> at Madison. That work was <strong>in</strong>itiated <strong>in</strong> an<strong>in</strong>dustry funded collaboration, through the National Cattlemen’s Beef Association andcomprised 30 trial runs, collected over 70,000 pieces of data, and was <strong>in</strong>tended to test theefficacy of the six most common UCFM processes of the US UCFM <strong>in</strong>dustry. Variables<strong>in</strong>cluded <strong>in</strong> those studies were:• fermentation temperature (21, 32, 43°C)• low and high acid targets (f<strong>in</strong>al pH <strong>in</strong> the ranges 4.6 - 4.8, or 5.0 – 5.3)• the effect of heat<strong>in</strong>g (38, 43, 49, 52°C) or hold<strong>in</strong>g at the fermentation temperature for aperiod of 7 days after the pH target was reached• f<strong>in</strong>al water activityThe variables comb<strong>in</strong>ations are shown <strong>in</strong> Appendix 3 and the results summarised <strong>in</strong> Table 7below. Unfortunately, the <strong>in</strong>terim update report (Nickelson, 1996) did not specify thematuration times and temperatures, but dry<strong>in</strong>g temperatures of ~13°C are common <strong>in</strong> USprocesses.In addition to the specific results from that study, the ma<strong>in</strong> conclusions were that unlesseither a cook step, or a hold<strong>in</strong>g step at temperature higher than 30°C was applied, none ofthe processes yielded a 3-log reduction. Hold<strong>in</strong>g was more effective at higher temperatures.Inactivation dur<strong>in</strong>g FermentationIn USA, large quantities of pepperoni are consumed <strong>in</strong> the form of pizza topp<strong>in</strong>g (H<strong>in</strong>kens etal., 1996) and, subsequent to the Blue Ribbon Task Force studies, many studies of E. <strong>coli</strong><strong><strong>in</strong>activation</strong> <strong>in</strong> UCFM have employed a pepperoni-style process. Many of those studies havePage 28 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFMconfirmed that standard fermentation and dry<strong>in</strong>g steps usually achieve a 2-log reduction butcannot deliver a 3-logTable 7. Summary of results of Blue Ribbon Task Force (Nickelson, 1996)Temperature (°C) pH Process Average ± SD21 ≤ 4.6 dry 2.08 0.23≤ 4.6 hold 2.26 0.5≥ 5.0 hold* 4.11 2.1≥ 5.0 hold 2.93 0.96≥ 5.0 heat 5.83 0.26≥ 5.0 heat 5.61 0.532 ≤ 4.6 hold 6.43 0.5≤ 4.6 hold 4.72 0.77≤ 4.6 heat 6.75 0.26≤ 4.6 heat 6.65 0.23≥ 5.0 hold 2.87 0.37≥ 5.0 heat 6.43 0.5543 ≤ 4.6 dry 2.45 0.59≤ 4.6 dry 2.12 0.2≤ 4.6 hold 6.34 0.36≤ 4.6 hold 6.42 0.32≥ 5.0 hold 5.88 0.65≥ 5.0 hold 6.03 0.42≥ 5.0 heat* 4.99 1.66≥ 5.0 heat 4.52 1.09* In both of these trials it was suspected that <strong>in</strong>adequate heat was applied <strong>in</strong> one of the triplicates.reduction <strong>in</strong> E. <strong>coli</strong> numbers (Glass et al., 1992; Grau, 1996; Nickelson et al., 1996; Sauer etal., 1997; Vanderl<strong>in</strong>de, 1999). Faith et al. (1997) reported that fermentation at 36°C for up to16 hours resulted <strong>in</strong> a 1 log decrease of E. <strong>coli</strong> O157:H7. This decl<strong>in</strong>e is similar to othersreported (H<strong>in</strong>kens et al., 1996; Calicioglu et al., 1997; Faith et al., 1998a; Faith et al., 1998b;Riordan et al., 1998; Vanderl<strong>in</strong>de, 1999; Casey and Condon, 2000). Exceptions where ahigher kill was achieved <strong>in</strong>volved the use of higher fermentation temperatures or <strong>in</strong>creasedamounts of preservatives and lower pH levels.Grau (1996) reported a 2.1-log reduction with 161ppm nitrite, 3.05% NaCl, and fermentationto pH 4.6 at 26°C for 72 hours. Petchs<strong>in</strong>g and Woodburn (1990) reported a 2.5-log reduction<strong>in</strong> E. <strong>coli</strong> after fermentation at 30°C for 72-96 hours to a pH of around 4.6, with 200ppm nitriteand 3% NaCl 9 . Riordan et al. (1998) observed a 3.36-log decrease <strong>in</strong> E. <strong>coli</strong> O157:H7 afterthe fermentation step of pepperoni manufacture.However, this was achieved <strong>in</strong> the presence of <strong>in</strong>creased levels of preservatives (300ppmnitrite), NaCl (3.3%) and low pH (4.4) at a high temperature of 38°C. Those authors alsoobserved, however, that <strong>in</strong>creas<strong>in</strong>g the amount of preservatives <strong>in</strong> fermented products waslikely to result <strong>in</strong> unacceptable organoleptic changes.Inactivation dur<strong>in</strong>g MaturationStudies report pathogen reductions from ~ 0.5 - 0.90-log dur<strong>in</strong>g dry<strong>in</strong>g (Grau, 1996; Faith etal., 1997; Faith et al., 1998a; Faith et al., 1998b). Comb<strong>in</strong>ed with typical reductions after9The safety of this product (Nham = Thai-style fermented sausage) is questionable, s<strong>in</strong>ce no maturation step is employedand the bacteria used <strong>in</strong> this study were not of an acid-tolerant variety. See Appendix 4.Page 29 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFMfermentation it is widely concluded that most processes currently <strong>in</strong> use cannot reliablyachieve a 3-log reduction <strong>in</strong> E. <strong>coli</strong> levels dur<strong>in</strong>g manufacture. This is especially true for morelightly processed UCFM such as Nham, and Braunschweiger, and true mettwursts, whichhave maturation times of a few days only and rema<strong>in</strong> ‘spreadable’. Similar observations werereported by Grau (1996) and Vanderl<strong>in</strong>de (1999) for Australian style salami processes. Thegeneral conclusions from all studies is that few processes could reliably achieve greater thana 2-log kill without a heat<strong>in</strong>g step or extended time or elevated temperature steps.In light of the <strong>in</strong>ability of most processes to achieve the required 5-log kill, <strong>in</strong> USA analternative regulatory protocol was proposed requir<strong>in</strong>g implementation of a HACCP system,<strong>in</strong>clud<strong>in</strong>g raw batter test<strong>in</strong>g, followed by a 2 log <strong><strong>in</strong>activation</strong>.The effect of storage on further <strong><strong>in</strong>activation</strong> <strong>in</strong> f<strong>in</strong>ished productsA number of studies have considered the effect of storage conditions on the fate of E. <strong>coli</strong> <strong>in</strong>f<strong>in</strong>ished product. The results of all those studies can be summarised simply as <strong>in</strong>creasedtime and temperature of storage enhances <strong><strong>in</strong>activation</strong>. Clavero and Beuchat (1996) notedthat higher numbers of heated cells survived at 5°C or 20°C than at 37°C. Faith et al. (1998a)found better survival at 4°C storage than at 21°C. They noted poorer survival, however, afterfreez<strong>in</strong>g. Freez<strong>in</strong>g causes mechanical damage to bacterial cells, and typically can lead to upto a 1-log reduction <strong>in</strong> cell numbers (Ross and Nichols, 2000).Faith et al. (1997) found that dur<strong>in</strong>g storage, the temperature rather than the atmosphere hadthe greatest effect on pathogen number and recommended that additional strategies such asstorage for at least two weeks at ambient temperature are required to achieve the requiredreduction <strong>in</strong> pathogen numbers. Thus, as others have recognised and advised, from theperspective of microbial food safety, storage of UCFM is better at ambient temperature thanunder refrigeration.Page 30 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFM5. Modell<strong>in</strong>g of Inactivation DataIn this section we attempt, as far as possible from the exist<strong>in</strong>g literature, to discern andquantify the patterns of E. <strong>coli</strong> <strong><strong>in</strong>activation</strong> <strong>in</strong> environments relevant to UCFM products andprocesses. To understand the role of factors affect<strong>in</strong>g <strong><strong>in</strong>activation</strong> of E. <strong>coli</strong> <strong>in</strong> UCFM better,data from a variety of published and unpublished sources was collated and <strong><strong>in</strong>activation</strong> ratescalculated. In many cases the <strong><strong>in</strong>activation</strong> data was not ideal, e.g. few po<strong>in</strong>ts, multiphasic<strong><strong>in</strong>activation</strong> rates, different stra<strong>in</strong>s, different methods, few po<strong>in</strong>ts from which to estimate<strong><strong>in</strong>activation</strong> rates, etc. Consequently, the data are less than ideal. Data were drawn fromexperiments both <strong>in</strong> product and <strong>in</strong> various types of broth systems, and the change <strong>in</strong>numbers of surviv<strong>in</strong>g E. <strong>coli</strong> <strong>in</strong> time used to estimate <strong><strong>in</strong>activation</strong> rates.Where <strong><strong>in</strong>activation</strong> curves were genu<strong>in</strong>ely multiphasic and there was no evidence ofenvironmental change, the rate of <strong><strong>in</strong>activation</strong> <strong>in</strong> the second, slower, stage was calculatedconsistent with a worst-case approach and recorded together with temperature, wateractivity, pH and any other details of the environment, where available. Some fermentation<strong><strong>in</strong>activation</strong> data was compiled and recorded separately. Data were plotted as a function oftemperature us<strong>in</strong>g the Arrhenius plot, and are presented <strong>in</strong> Figures 9a, b 10 overleaf.5.1 TemperatureWe have made much of our perception that temperature is the factor that most affects therate of E. <strong>coli</strong> <strong><strong>in</strong>activation</strong> <strong>in</strong> UCFM and that, by <strong>in</strong>ference, time and temperature most<strong>in</strong>fluence total <strong><strong>in</strong>activation</strong>. While there is variability <strong>in</strong> the rates of <strong><strong>in</strong>activation</strong> shown <strong>in</strong>Figures 9, it is apparent that there is a strong and uniform effect of temperature on<strong><strong>in</strong>activation</strong> <strong>in</strong> almost all the data sets shown. This is evident as a common slope of the l<strong>in</strong>esdescrib<strong>in</strong>g the <strong><strong>in</strong>activation</strong> rates for each product/experimental system at differenttemperatures <strong>in</strong> the ‘normal physiological range’ of temperature for E. <strong>coli</strong> growth (~7.5 –49°C).The majority of the data derived from <strong>in</strong>-product studies seem to fall with<strong>in</strong> a relatively narrowband of <strong><strong>in</strong>activation</strong> rates, with a variability of ~0.5(SD) ln units, equivalent to a factor of 1.5<strong>in</strong> the <strong><strong>in</strong>activation</strong> rate. To explore the strength of this apparent relationship, all data <strong>in</strong> theplot at temperatures <strong>in</strong> the ranges 15-16°C (n = 13), and <strong>in</strong> the range 25-26°C (n = 13) werecollated. A simple Arrhenius model was fitted to the data at these temperatures and is:ln(Inactivation rate [logCFU/hr])=33.387-11255*(1/Temperature[K])(1a)which can be rewritten:11 Inactivation rate (log CFU/hr)= e (33.387) / e 11255/Temperature [K]) (1b)The standard deviation of the ln(<strong><strong>in</strong>activation</strong> rates) at each of the temperatures ranges wasalso calculated 12 . The standard deviations were 0.57 and 0.47, respectively. As an example,assum<strong>in</strong>g a standard deviation of 0.5 <strong>in</strong> the ln(<strong><strong>in</strong>activation</strong> rate) approximates to a 95%confidence <strong>in</strong>terval of ± 270% of the estimated value, i.e. approximately 3-fold variability. TheRSQ 13 for Eqn. 1a is 66%, i.e. temperature alone accounts for 66% of the variability <strong>in</strong> data.From the data <strong>in</strong> Figure 9a can be seen that pH and water activity levels also affect the rateof <strong><strong>in</strong>activation</strong>. These <strong>in</strong>fluences are discussed separately (see Sections 5.2 and 5.3).10111213Figure 9b is the same as Figure 9a but exclud<strong>in</strong>g, for clarity, data not from studies <strong>in</strong> UCFM systems.In the more familiar term<strong>in</strong>ology of thermal <strong><strong>in</strong>activation</strong> rates, Eqns. 1 <strong>in</strong>dicate that the z-value for non-thermal<strong><strong>in</strong>activation</strong> for E. <strong>coli</strong> is ~17 - 18°C. z-values for thermal <strong><strong>in</strong>activation</strong> are typically < 10°C.This value will overestimate the true variance because it is based on a range of temperatures. Thus, the effect of thattemperature variation is also <strong>in</strong>cluded <strong>in</strong> the estimate.RSQ: the square of the value of the Pearson product moment correlation co-efficient.Page 31 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFM 32 .Shadbolt - 0.7Shadbolt -0.83Shadbolt -.90Clavero and Beuchhat @2Faith et al#1 (US pepperoni)Faith et al.#2 (US pepperoni)Faith et al #3 (US pepperoni)Grau #6 (fermentation <strong><strong>in</strong>activation</strong> only)Grau #9 (salami)7654Range of temperatures permitt<strong>in</strong>ggrowth of E. <strong>coli</strong>Figure 9a.Grau #3 (broth pH4.5 [36mM lactic],; aw 0.90)- phase 3 2Grau #4 (broth pH4.5 [36mM lactic],; aw 0.90) - Phase 3Grau #1 - broth, pH 4.0 (84 mM lactic acid) 2Vanderl<strong>in</strong>de (fermentation only)Clavero and Beuchhat #1Grau #10 (salami)Glass et al. (1992) (salami)Grau #14 (salami)Grau #16 (salami)Grau #15 (salami)Grau #5 (m<strong>in</strong>ced beef, pH 4.5, aw; 0.9)Grau #13 (salami)Grau #12 (salami)Grau #11 (salami)Grau #8 (salami)McKellar and Knight (1999) pH 2/acetic pH4Shabdbolt (<strong>in</strong> prepn.)- broth, pH7 or 3.5; aw. 0.9Brown (broth @pH 3.5, HCl)Brown (broth @ pH 3, HCl)Brown (broth @ pH 2.5, HCl)Vanderl<strong>in</strong>de (1999) Salami Maturationln Rate (-logCFU/hr)Thermal <strong><strong>in</strong>activation</strong> <strong>in</strong> raw meats, not acidified10-1-2-3-4-5-6-7-8-90.00280.00290.00300.003145°C 0 °C0.00320.00330.00340.00351/Temperature (K)Arrhenius plot of a compilation of thermal and non-thermal <strong><strong>in</strong>activation</strong> rates of E. <strong>coli</strong> <strong>in</strong> UCFM products, meats and model systems relevant toUCFM.0.00360.00370.00380.00390.0040Page 32 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFM 33 .76Range of temperatures permitt<strong>in</strong>ggrowth of E. <strong>coli</strong>Grau #15 (salami)Faith et al#1 (US pepperoni)Faith et al.#2 (US pepperoni)Faith et al #3 (US pepperoni)Clavero and Beuchhat #2Grau #10 (salami)Grau #6 (fermentation <strong><strong>in</strong>activation</strong> only)Grau #9 (salami)Grau #5 (m<strong>in</strong>ced beef, pH 4.5, aw; 0.9)Vanderl<strong>in</strong>de (fermentation only)Grau #16 (salami)Grau #14 (salami)Vanderl<strong>in</strong>de (1999) Salami MaturationGrau #11 (salami)Grau #13 (salami)Grau #12 (salami)Clavero and Beuchhat #1Grau #8 (salami)Glass et al. (1992) (salami)ln Rate (-logCFU/hr)Thermal <strong><strong>in</strong>activation</strong> <strong>in</strong> raw meats, not acidified543210-1-2-3-4-5-6-7-845°C 0 °C-90.00280.00290.00300.00310.00320.00330.00340.00351/Temperature (K)0.00360.00370.00380.00390.0040Figure 9b.Arrhenius plot of a compilation of non-thermal <strong><strong>in</strong>activation</strong> rates of E. <strong>coli</strong> <strong>in</strong> UCFM products and thermal <strong><strong>in</strong>activation</strong> rates <strong>in</strong> meatsPage 33 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFM 34.To exam<strong>in</strong>e further the role of temperature <strong>in</strong> the <strong><strong>in</strong>activation</strong> of E. <strong>coli</strong> dur<strong>in</strong>g UCFMprocess<strong>in</strong>g data from Table 7, Appendix 2, of Vanderl<strong>in</strong>de (1999) were analysed separately.Those data are for a range of experiments to study E. <strong>coli</strong> <strong><strong>in</strong>activation</strong> <strong>in</strong> UCFM, but were notundertaken to identify the role of temperature <strong>in</strong> the <strong><strong>in</strong>activation</strong> process. The data weretabulated as <strong><strong>in</strong>activation</strong> dur<strong>in</strong>g fermentation, maturation, and <strong>in</strong> an additional hold<strong>in</strong>g period<strong>in</strong>vestigated as a potential hazard reduction step. From those data rates of <strong><strong>in</strong>activation</strong>(ln(CFU/h)) were calculated as a function of temperature only, ignor<strong>in</strong>g all other variables, aswith the data <strong>in</strong> Figures 9. The standard deviation of the ln(<strong><strong>in</strong>activation</strong> rate) at anytemperature was ~0.5, similar to the data <strong>in</strong> Figures 9.Data were then plotted on Arrhenius co-ord<strong>in</strong>ates, and a simple regression calculated. Theregression l<strong>in</strong>e through that data of Vanderl<strong>in</strong>de (1999) is:ln(Inactivation rate [logCFU/hr]) = 24.053-8476*(1/Temperature[K]) (2)which, with<strong>in</strong> the temperature range of relevance, is almost identical to that calculated (Eqns.1) for the pooled data presented previously. The comparison is shown <strong>in</strong> Figure 10, below.From the RSQ value, ~78% of the variance <strong>in</strong> the data is due to the effect of temperature.This re<strong>in</strong>forces that temperature is a prime factor govern<strong>in</strong>g <strong><strong>in</strong>activation</strong> <strong>in</strong> all stages ofUCFM manufacture. Interest<strong>in</strong>gly, Lammerd<strong>in</strong>g et al. (2000) presented a model to predict<strong><strong>in</strong>activation</strong> dur<strong>in</strong>g UCFM manufacture which was:Log reduction= 4.72 + 0.0722 x FT + 0.686 x F(t) + 0.054 x MT+ 0.00536 x M(t) + 0.06 x a w – 1.55 x pH (3)(n.b. no error term was specified)<strong>in</strong>clud<strong>in</strong>g terms for fermentation time and temperature and maturation time and temperature,water activity and pH. That equation accounted for ~76% of the variance <strong>in</strong> the data set itwas used to describe, despite that it had many more explanatory variables (‘model terms’).Unfortunately we were not able to use this model or to compare it to the data collated herebecause the units were not specified nor were the variables names def<strong>in</strong>ed.Ln (<strong><strong>in</strong>activation</strong> rate [logCFU/hr])-2-3-4-5-6-743°C 14°CInactivation rate dur<strong>in</strong>g FermentationInactivation rate dur<strong>in</strong>g Hold<strong>in</strong>gInactivation rate dur<strong>in</strong>g MaturationRate predicted by previous Arrhenius modelL<strong>in</strong>ear regresson fitted to Vanderl<strong>in</strong>de (1999) data.-80.00310.00330.00350.00371/Temperature (K)Figure 10.Arrhenius plot of the data of Vanderl<strong>in</strong>de (1999) for the effects of temperature on the rate of<strong><strong>in</strong>activation</strong> of E. <strong>coli</strong> dur<strong>in</strong>g fermentation, maturation and warm hold<strong>in</strong>g of UCFM.Page 34 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFM 35.From Equation 1, the predicted time/temperature comb<strong>in</strong>ations required to achieve a 3-log<strong><strong>in</strong>activation</strong> were calculated as an example of the sensitivity of <strong><strong>in</strong>activation</strong> rates totemperature. Figure 11 shows the predicted times and 95% confidence <strong>in</strong>tervals. Thosepredictions assume that the rate of <strong><strong>in</strong>activation</strong> is constant, i.e. that there is no third, morerapid phase.The 95% confidence <strong>in</strong>tervals on the predicted <strong><strong>in</strong>activation</strong> rate are clearly very wide -approximately a factor of 3 faster or slower than the average <strong><strong>in</strong>activation</strong> rate. This limits thepractical utility of the model as a means of assess<strong>in</strong>g the safety of UCFM processes. Asoutl<strong>in</strong>ed earlier, much of that variability arises from pool<strong>in</strong>g of data which are based ondifferent methods, and different stra<strong>in</strong>s of bacteria as well as lactic acid levels, pH, wateractivity and other factors <strong>in</strong> the product. By better characteris<strong>in</strong>g the effects of these factors itis probable that the 95% confidence <strong>in</strong>tervals from the model could be greatly reduced.Conversely, for any given system, the relative effects on <strong><strong>in</strong>activation</strong> of E. <strong>coli</strong> due tochanges <strong>in</strong> times and temperatures of process<strong>in</strong>g can be determ<strong>in</strong>ed, or the relative safety ofdifferent processes compared.14012010080604020Predicted Time (Days) Required for 3-LogInactivation010 15 20 25 30 35 40Temperature of manufactureFigure 11.Predicted times required for 3-log <strong><strong>in</strong>activation</strong> based on temperature and typical UCFMformulations. The grey dotted l<strong>in</strong>es <strong>in</strong>dicate ~95% confidence <strong>in</strong>tervals, Though pH, wateractivity and other factors are not specifically <strong>in</strong>cluded <strong>in</strong> the predictive model, UCFM withlower pH and water activity are expected to require shorter times to achieve 3-log kills.5.1.1 Temperature beyond the ‘normal physiological range’As shown earlier (Figure 5) at temperatures > ~50°C, the slope is expected to be steeper asthermal <strong>in</strong>jury (i.e. denaturation) becomes significant. Similarly, at temperatures belowfreez<strong>in</strong>g, the slope is expected to decrease because molecules become less mobile <strong>in</strong> thesolid state and the rate of all chemical reactions, <strong>in</strong>clud<strong>in</strong>g those caus<strong>in</strong>g <strong><strong>in</strong>activation</strong>, isgreatly reduced. Clearly, this <strong>in</strong>terpretation is not supported by the data of Faith et al. (1997)(“Faith et al#2” and “Faith et al#3” <strong>in</strong> Figures 9). A possible explanation for the more rapid<strong><strong>in</strong>activation</strong> rate at freez<strong>in</strong>g temperature is that there was additional <strong>in</strong>jury to the E. <strong>coli</strong> <strong>in</strong>those data dur<strong>in</strong>g the process of freez<strong>in</strong>g and thaw<strong>in</strong>g, and discussed earlier. The reason forthe deviation from the predicted <strong><strong>in</strong>activation</strong> rate at low temperatures <strong>in</strong> broths (data ofBrown, <strong>in</strong> preparation) is currently unexpla<strong>in</strong>ed.Page 35 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFM 36.5.2 pHFigures 6 showed that the rate of pH decl<strong>in</strong>e dur<strong>in</strong>g fermentation and the ultimate pHachieved has an affect on the amount of <strong><strong>in</strong>activation</strong>. Grau (1996) considered the effect ofpH also, for all comb<strong>in</strong>ations of treatments and found the relationship shown <strong>in</strong> Figure 12.As with water activity, our earlier discussion queried whether faster <strong><strong>in</strong>activation</strong> rates arenecessarily due to lower pH. Rather, we suggested that that observation might be due lowerpH be<strong>in</strong>g associated with more rapid progression <strong>in</strong> the batter to conditions that prohibitE. <strong>coli</strong> growth. However, the results of Brown <strong>in</strong> Figure 9 <strong>in</strong>dicate that decreased pH does<strong>in</strong>crease the <strong><strong>in</strong>activation</strong> rate. Those data <strong>in</strong>dicate that a one pH unit difference <strong>in</strong> conditionsis associated with a difference <strong>in</strong> <strong><strong>in</strong>activation</strong> rate of ~3-fold.Figure 12.Correlation between f<strong>in</strong>al pH of matured fermented sausage and total <strong><strong>in</strong>activation</strong> for twostra<strong>in</strong>s of E. <strong>coli</strong> (Reproduced from Figure 4.3a of Grau, 1996).It is also noted from Figure 9a that the <strong><strong>in</strong>activation</strong> observed by Grau (1996) <strong>in</strong> broth at pH 4with 84 mM lactic acid (34 mM undissociated) is more rapid than that observed by Brown (<strong>in</strong>preparation) at pH 2.5 us<strong>in</strong>g HCl as acidulant. This may <strong>in</strong>dicate that organic acids are more‘lethal’ than m<strong>in</strong>eral acids at equivalent pH (a situation analogous to <strong>in</strong>hibition of E. <strong>coli</strong>growth rate) but there is <strong>in</strong>sufficient additional data by which to assess this possibilityrigorously.5.3 Water activityDespite the earlier discussion, Grau (1996) reported a correlation between water activity andthe amount of <strong><strong>in</strong>activation</strong> of E. <strong>coli</strong> <strong>in</strong> UCFM. His data are presented <strong>in</strong> Figure 13 below.It must be emphasised, however, that a correlation does not necessarily <strong>in</strong>dicate a causalrelationship. We <strong>in</strong>terpret the pattern seen <strong>in</strong> Figure 13 as not result<strong>in</strong>g from water activitydifferences directly, but to result from the longer dry<strong>in</strong>g times required to achieve lower wateractivities, i.e. that both the lower water activity and greater <strong><strong>in</strong>activation</strong> result from the samecause, but are not themselves causally related.Vanderl<strong>in</strong>de (1999) also presented results which suggest that, <strong>in</strong> the range of relevance toUCFM products, f<strong>in</strong>al water activity has little effect on <strong><strong>in</strong>activation</strong> rate dur<strong>in</strong>g maturation. Inthose data, there were no correlations between f<strong>in</strong>al water activity and either rate of<strong><strong>in</strong>activation</strong> (R 2 = 0.008) or total <strong><strong>in</strong>activation</strong> (R 2 = 0.292) but maturation time is significantlycorrelated with total <strong><strong>in</strong>activation</strong> (R 2 = 0.697). The results of Shadbolt et al. (1999) <strong>in</strong> Figures9 also <strong>in</strong>dicate, however, that water activity does affect <strong><strong>in</strong>activation</strong> rate and may cause up toa 2 – 3 fold difference <strong>in</strong> <strong><strong>in</strong>activation</strong> rates at the extremes of the range 0.7 – 0.9. The rangeof water activities of Australian UCFMs is likely to be lower than this (see Fig. 1).Page 36 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFM 37.Figure 13.Correlation between f<strong>in</strong>al water of matured fermented sausage and total <strong><strong>in</strong>activation</strong> for twostra<strong>in</strong>s of E. <strong>coli</strong> (Reproduced from Figure 4.3c of Grau, 1996).Thus differences due to water activity might account for variations of ~1.5 to 2-fold <strong>in</strong><strong><strong>in</strong>activation</strong> rates (see Figs 4). Product-to-product variations <strong>in</strong> pH and water activity aresufficient to expla<strong>in</strong> much of the variation <strong>in</strong> <strong><strong>in</strong>activation</strong> rates not accounted for bytemperature alone <strong>in</strong> the above analysis.5.4 Other - Role of OxygenA notable feature of all the <strong><strong>in</strong>activation</strong> rate data obta<strong>in</strong>ed from studies <strong>in</strong> laboratory broth isthat the rates are much faster than those <strong>in</strong> UCFM poised at similar levels of pH and/or wateractivity. The reason is unknown. However, one fundamental difference is that UCFMproducts are anaerobic (see S.3.2.1) while the broths are not. We were unable to f<strong>in</strong>d anyspecific reference to the effect of redox potential on the rate of non-thermal <strong><strong>in</strong>activation</strong> <strong>in</strong>foods or broth systems. Davies-Colley et al. (1999), however, exam<strong>in</strong>ed the <strong>in</strong>fluence ofdissolved oxygen, pH, and other factors on the <strong><strong>in</strong>activation</strong> of faecal <strong>coli</strong>forms by sunlight <strong>in</strong>waste stabilisation ponds. Inactivation of E. <strong>coli</strong> was strongly dependent on dissolved oxygenconcentrations. Also, the role of reactive oxygen species (ROS) on the <strong><strong>in</strong>activation</strong> of microorganisms<strong>in</strong> many environments is well described <strong>in</strong> the scientific literature (see e.g. Doddset al., 1997).5.5 Conclusions from available studiesPractically none of the non-thermal <strong><strong>in</strong>activation</strong> literature deal<strong>in</strong>g with E. <strong>coli</strong> <strong>in</strong> UCFMconsiders the rate of <strong><strong>in</strong>activation</strong>, i.e. almost all workers have reported absolute levels of<strong><strong>in</strong>activation</strong> associated with different processes. Had workers <strong>in</strong> this area considered<strong><strong>in</strong>activation</strong> rates as a function of the dom<strong>in</strong>ant environmental factors affect<strong>in</strong>g microbial<strong><strong>in</strong>activation</strong> as we have done, we believe that better progress could have been made toaddress and reduce the threat of E. <strong>coli</strong> <strong>in</strong> UCFM. Eqn. 3 illustrates this po<strong>in</strong>t. Eqn. 3 isclearly more complex than Eqn. 1 or 2, yet does not offer greatly improved performance as adescription of levels of <strong><strong>in</strong>activation</strong> of E. <strong>coli</strong> <strong>in</strong> UCFM. This suggests that a morefundamental and systematic approach to understand<strong>in</strong>g the processes of non-thermal<strong><strong>in</strong>activation</strong>, as undertaken <strong>in</strong> MLA-sponsored research at the University of Tasmania, hasprovided <strong>in</strong>sights that greatly reduce the apparent complexity of the problem.We conclude from the above analysis that, with<strong>in</strong> the range of temperature, pH, and wateractivity found <strong>in</strong> UCFM processes and products, temperature has the greatest effect on therate of E. <strong>coli</strong> <strong><strong>in</strong>activation</strong>. By <strong>in</strong>ference, time is also a key determ<strong>in</strong>ant of total <strong><strong>in</strong>activation</strong>.pH and water activity also affect the rate of <strong><strong>in</strong>activation</strong>, but are less <strong>in</strong>fluential. To illustrate,over the range of temperatures that might be used <strong>in</strong> UCFM manufacture (e.g 14 – 35°C) thePage 37 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFM 38.difference <strong>in</strong> <strong><strong>in</strong>activation</strong> rate is approximately 20-fold. The ranges of either pH (4.4 – 5.4) orwater activity (0.83 – 0.94) lead to differences <strong>in</strong> <strong><strong>in</strong>activation</strong> rates of ~ 3-fold.The variability that can be expected to arise from pH and water activity differences betweenUCFMs is of the same magnitude as the variability <strong>in</strong> the data presented <strong>in</strong> Figures 9 that isnot accounted for by temperature alone. This suggests that yet more of the variability <strong>in</strong> thedata could be expla<strong>in</strong>ed <strong>in</strong> a predictive model if systematic studies to quantify the effects ofwater activity and pH were available.While lactic acid concentration may effect the rate of <strong><strong>in</strong>activation</strong> of E. <strong>coli</strong> dur<strong>in</strong>g UCFMprocess<strong>in</strong>g, we have been unable to quantify that effect or describe it qualitatively.Similarly, there is the possibility that the anaerobic environment of the batter reduces the rateof <strong><strong>in</strong>activation</strong>. While the degree of anaerobiosis is unlikely to vary greatly with<strong>in</strong> UCFMproducts, it will be essential to quantify the role of oxygen if a reliable model system for nonthermal<strong><strong>in</strong>activation</strong> relevant to UCFM is to be developed. The feasibility of development of amodel system is considered <strong>in</strong> Section 6.Page 38 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFM 39.6. Model Systems: Relevance to Studies <strong>in</strong> Commercial UCFM ProcessesMeasur<strong>in</strong>g microbial responses to different treatments <strong>in</strong> a food matrix presents numerousproblems because there are many uncontrolled factors, e.g. the effects of backgroundmicroflora (Grau, 1996). A simplified experimental model of the food of <strong>in</strong>terest can help toreveal and quantify basic patterns of response because the number of uncontrolled variablesis reduced. Once these patterns are described <strong>in</strong> the model system, the more variable andcomplex patterns of response that occur <strong>in</strong> foods can often be more readily understood.When us<strong>in</strong>g models systems, however, experiments <strong>in</strong> foods must be undertaken to validateobservations <strong>in</strong> the model system and to reveal whether there are important elements <strong>in</strong> thefood that were not adequately represented <strong>in</strong> the model system. In this section we considerwhether a reliable non-food model can be developed to generate data needed to create apredictive model of E. <strong>coli</strong> <strong><strong>in</strong>activation</strong>.6.1 Comparison of model broth systems and UCFMSeveral researchers have attempted to use broth systems to understand the processes of<strong><strong>in</strong>activation</strong> of E. <strong>coli</strong> under conditions relevant to UCFM processes (Grau, 1996; Tomicka etal., 1997; Vanderl<strong>in</strong>de, 1999; Casey and Condon, 2000; Duffy et al., 2000).Tomicka et al. (1997) measured survival of E. <strong>coli</strong> O157:H7 under conditions of “Americanstyle” (fermentation at 37°C x 1d) and “European style” (22°C x 3d) UCFMs <strong>in</strong> a fermentedbroth system. After fermentation, broths were stored at 10°C and monitored for several days.The data were expressed as ‘time to non-detection’ of the E. <strong>coli</strong> added to the system. Novalues for <strong><strong>in</strong>activation</strong> were given.The additives <strong>in</strong> each broth, however, are unlikely to provide a true reflection of conditions <strong>in</strong>salami. Only 2% NaCl and 0.8% dextrose was added which would not adequately reflect thetrue a w <strong>in</strong> the absence of any fat or prote<strong>in</strong> (see Section 3.2.1), and the absence of dry<strong>in</strong>g.The pH <strong>in</strong> the “American style” model went from 7.2 to 4.2, which is lower than <strong>in</strong> mostUCFMs, and rema<strong>in</strong>ed at this level for the duration of the trial.The experimental system of Casey and Condon (2000) is more representative of salami.Those workers exam<strong>in</strong>ed the effects of vary<strong>in</strong>g nitrite levels <strong>in</strong> Tryptic Soya Broth (TSB) <strong>in</strong>the presence of 4.0% NaCl, 1.35% sucrose, 0.8g/l ascorbate and Pediococcal starter culture.The pH decreased to 4.5 from an <strong>in</strong>itial value of 5.8 with<strong>in</strong> 24 hours at 37°C. In the presenceof 300ppm nitrite, levels of E. <strong>coli</strong> O157:H45 (a verotox<strong>in</strong>-negative relative of E. <strong>coli</strong>O157:H7; no comparative survival data provided) decreased by 3-log over 2 days at 37°C. Asimilar result was obta<strong>in</strong>ed at 200ppm, but with 100ppm nitrite, E. <strong>coli</strong> levels decl<strong>in</strong>ed by only1-log over the same period.A comparative study was done with a laboratory-scale fermented sausage <strong>in</strong>volv<strong>in</strong>g 37°Cfermentation for 2 days and ripen<strong>in</strong>g at 15°C for 12 days. The pH fell from 5.8 toapproximately 4.7 with<strong>in</strong> the first 2 days. At levels of 300 and 200ppm nitrite, numbers of E.<strong>coli</strong> decl<strong>in</strong>ed by around 1.5- and 1.3-log respectively. After 12 days of dry<strong>in</strong>g, the total decl<strong>in</strong>efor both 300 and 200ppm was around 3.5-log, while for 100 and 50ppm the reduction wasapproximately 2.5-log.In the results of Casey and Condon (2000) differences <strong>in</strong> <strong><strong>in</strong>activation</strong> <strong>in</strong> both the brothsystem and an analogous salami preparation were most pronounced dur<strong>in</strong>g fermentation. Atlow nitrite levels (


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFM 40.Juneja and Eblen (2000) noted that the k<strong>in</strong>etics of thermal <strong><strong>in</strong>activation</strong> <strong>in</strong> beef differed fromthose <strong>in</strong> broth, although this may have been an artifact of the heat<strong>in</strong>g method or the <strong>in</strong>oculumpreparation method.While the data presented <strong>in</strong> Figures 9 suggests that some broth systems do reliably mimicboth qualitative and quantitative features of thermal and non-thermal <strong><strong>in</strong>activation</strong> of E. <strong>coli</strong>, <strong>in</strong>general the above-cited reports <strong>in</strong>dicate that broth model systems do not accuratelyrepresent <strong><strong>in</strong>activation</strong> rates and patterns <strong>in</strong> UCFM processes. Similarly, the simple modelsystems of Brown (<strong>in</strong> preparation) and Shadbolt et al. (1999), considered <strong>in</strong> Section 5.4,produce faster <strong><strong>in</strong>activation</strong> rates than are observed <strong>in</strong> UCFM products at equivalenttemperatures and water activities or pH.On the basis of his studies of E. <strong>coli</strong> <strong><strong>in</strong>activation</strong> Grau (1996) concluded that “model [broth]systems can be used to <strong>in</strong>dicate general effects …. but cannot be used to provide specificrates of destruction”. For reasons detailed <strong>in</strong> Appendix 5, we do not fully agree with thatconclusion. The rate of <strong><strong>in</strong>activation</strong> <strong>in</strong> Grau’s simple broth system is faster than that of mostof the available salami data by ~40 – 50%. Given the level of variability <strong>in</strong> the data (seeFigures 9), this may not be a significant difference.While an <strong><strong>in</strong>activation</strong> model based on death rates observed <strong>in</strong> this model system would givea ‘fail safe’ prediction, it is likely that the model system should <strong>in</strong>clude other components thatbetter reflect the rates of <strong><strong>in</strong>activation</strong> <strong>in</strong> UCFM products.6.2 Presence of Fat6.2.1 Thermal <strong><strong>in</strong>activation</strong>The data of Faith et al. (1998b) for thermal <strong><strong>in</strong>activation</strong> of E. <strong>coli</strong> <strong>in</strong> UCFM dur<strong>in</strong>g cook<strong>in</strong>g attemperatures from 135 – 246°C suggests that fat may offer some protection aga<strong>in</strong>st<strong><strong>in</strong>activation</strong>. However, at temperatures more representative of UCFM manufacture the limitedavailable evidence suggests that <strong>in</strong>creased fat levels slightly <strong>in</strong>crease the rate of <strong><strong>in</strong>activation</strong>at temperatures less than 65°C, i.e. <strong>in</strong>clud<strong>in</strong>g thermal and non-thermal <strong><strong>in</strong>activation</strong>processes.Data for rates of <strong><strong>in</strong>activation</strong> <strong>in</strong> lean and fatty meats taken from Doyle and Schoeni (1984),Ahmed et al. (1995), Orta Ramirez et al., (1997), Junega et al. (1997), Junega and Marmer(1999) and Junega and Eblen (2000) are shown <strong>in</strong> Figure 14 and reveal the difference <strong>in</strong><strong><strong>in</strong>activation</strong> rates for meats with less than 10% fat, and more than 10% fat. Data of Kotrolaand Conner (1997) also show faster <strong><strong>in</strong>activation</strong> at 11% fat than 3% fat <strong>in</strong> turkey meat.The data of Duffy et al. (2000) are the only data <strong>in</strong> Figure 14 that are representative ofconditions <strong>in</strong> a UCFM, i.e. <strong>in</strong> the presence of 20 – 30% fat. Those data <strong>in</strong>dicate faster<strong><strong>in</strong>activation</strong> rates than <strong>in</strong> lean meat, and also suggest that lower pH <strong>in</strong>creases the rate ofthermal <strong><strong>in</strong>activation</strong>.6.2.2 Non-thermalUnder non-thermal conditions, Faith et al. (1998a) showed that the rate of <strong><strong>in</strong>activation</strong> dur<strong>in</strong>gboth fermentation and maturation <strong>in</strong>creases with <strong>in</strong>creas<strong>in</strong>g levels of fat although thedifference is most pronounced dur<strong>in</strong>g fermentation.Page 40 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFM 41.Figure 14.Arrhenius plot of thermal <strong><strong>in</strong>activation</strong> rate of E. <strong>coli</strong> <strong>in</strong> the presence of different levels of fatand pH. The data is derived from beef, turkey and chicken meat and UCFM (see text fordetails of sources). Data for meat of different species (beef or chicken) is not differentiated.Diamonds represent data for <strong><strong>in</strong>activation</strong> <strong>in</strong> lean meat (10% fat content. Triangles represents the range of<strong><strong>in</strong>activation</strong> rates found by Duffy et al. (2000) <strong>in</strong> salami of pH 4.4 – 4.8, <strong>in</strong> a model fermentedmeat system based pH and salt adjusted Bra<strong>in</strong> Heart Infusion broth.6.3 Inoculum Preparation and Prior HistoryThe effect of <strong>in</strong>oculum history on the rate of <strong><strong>in</strong>activation</strong> of E. <strong>coli</strong> is well documented <strong>in</strong> thescientific literature. In general, a number of stresses can <strong>in</strong>duce E. <strong>coli</strong> to produce a range ofresponses that make it more resistant to a other stresses <strong>in</strong>clud<strong>in</strong>g heat and low pH.Starvation, exposure to a low, but not lethal, acidic environment and entry <strong>in</strong>to stationaryphase can all <strong>in</strong>duce this more resistant state. It is generally agreed that when conduct<strong>in</strong>gchallenge studies, e.g. to determ<strong>in</strong>e <strong><strong>in</strong>activation</strong> rates <strong>in</strong> foods, the study design should adopta ‘fail-safe’ approach and use the most resistant stra<strong>in</strong>s of the bacterium, prepared to be <strong>in</strong>its most resistant state. Inoculum preparation for <strong><strong>in</strong>activation</strong> studies <strong>in</strong> UCFM was exploredand well discussed by Vanderl<strong>in</strong>de (1999). To add to that discussion, Brown (<strong>in</strong> preparation)found that as cells of Escherichia <strong>coli</strong> move <strong>in</strong>to stationary phase they become <strong>in</strong>creas<strong>in</strong>glyresistant to subsequent acid stress, but that as the culture ages (i.e. is held <strong>in</strong> stationaryphase for longer) the level of resistance beg<strong>in</strong>s to fall aga<strong>in</strong>. Figure 15 illustrates the effect.Page 41 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFM 42.Figure 15.Results of Brown (<strong>in</strong> preparation) show<strong>in</strong>g the decrease <strong>in</strong> resistance of E. <strong>coli</strong> as a theculture cont<strong>in</strong>ues to age. Cells were removed from a stationary phase culture and subjectedto a pH 3.5 stress. Other data (not shown) <strong>in</strong>dicates that resistance rises as the culturemoves <strong>in</strong>to stationary phase, consistent with the observations of many other. The datashown, however, <strong>in</strong>dicates that after 24h <strong>in</strong> stationary phase the rate of <strong><strong>in</strong>activation</strong> at pH 3.5becomes more rapid, and results <strong>in</strong> truncation of ‘Phase 2”. The times <strong>in</strong>dicated are hours of<strong>in</strong>cubation at 25°C after commencement of stationary phase.Faith et al. (1998a) <strong>in</strong>vestigated the effects on <strong><strong>in</strong>activation</strong> of condition<strong>in</strong>g of UCFM batter bytemperature treatments, <strong>in</strong>volv<strong>in</strong>g comb<strong>in</strong>ations of storage at 4°C (‘refrigerated’/’thawed’), at13°C (‘tempered’), and/or -20°C (‘frozen’) prior to <strong>in</strong>itiation of the fermentation. Batter whichwas tempered, frozen and thawed experienced the greatest amount of <strong><strong>in</strong>activation</strong> at the endof maturation (-2.1 logCFU), followed by frozen and thawed (-1.6 logCFU), with batter thathad only been refrigerated achiev<strong>in</strong>g a 1.1 logCFU decrease.Grau (1996) observed that freez<strong>in</strong>g of challenge organisms <strong>in</strong> the meat, prior to preparationof the batter did not have a marked effect on subsequent survival dur<strong>in</strong>g UCFM process<strong>in</strong>g,but that destruction was greater when cells had been grown on the meat. On the basis ofthese observations Grau proposed that: “a system of test<strong>in</strong>g survival of E. <strong>coli</strong> dur<strong>in</strong>gproduction of fermented meats, which adds cells at the time of chopp<strong>in</strong>g and mix<strong>in</strong>g mayunderestimate the real reduction <strong>in</strong> viable cells. A system closer to real life should grow thecells on the meat beforehand”.One <strong>in</strong>terpretation of the above observations is that cells which have been grown on themeat, or which have been tempered at growth permissive temperatures, are more likely to be<strong>in</strong> exponential phase at the beg<strong>in</strong>n<strong>in</strong>g of the fermentation. Our prelim<strong>in</strong>ary data (unpublished)for the effect of transferr<strong>in</strong>g grow<strong>in</strong>g E. <strong>coli</strong> cells across the temperature boundary for growthsuggest that this transition does not cause the <strong>in</strong>duction of a lag phase 14 , i.e. anexponentially grow<strong>in</strong>g cell that is growth arrested by a reduction <strong>in</strong> temperature does notnecessarily adopt the more resistant state characteristic of stressed cells. Thus, whiletemper<strong>in</strong>g as a part of UCFM production would be an advantage, it will need to bedemonstrated that all producers use a temper<strong>in</strong>g step. If not, this assumption could lead toover-prediction of the extent of <strong><strong>in</strong>activation</strong>, i.e. fail-dangerous observations. Furthermore, we14Note added <strong>in</strong> proof: Gill et al. (2001) presented results <strong>in</strong>dicat<strong>in</strong>g that lag phases can be <strong>in</strong>duced <strong>in</strong> E.<strong>coli</strong> by temperaturetransitions at temperatures below the lower limit for E.<strong>coli</strong> growth.Page 42 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFM 43.are unsure that it reasonable to assume that E. <strong>coli</strong> present on meat enter<strong>in</strong>g a UCFMprocess would have had the opportunity to grow (let alone to grow to high numbers) on themeat. All HACCP and GMP systems <strong>in</strong> the meat <strong>in</strong>dustry are geared toward growthm<strong>in</strong>imisation through temperature control.6.4 Other VariablesIn Section 5.4 the possible role of oxygen or redox potential were discussed. The role ofnitrite was discussed <strong>in</strong> Section 6.1 and the probable significance of lactic acid concentrationhas been alluded to earlier.6.5 ConclusionsWe consider that it should be possible to develop a model system that well approximates<strong><strong>in</strong>activation</strong> dur<strong>in</strong>g maturation of UCFM provided that all factors affect<strong>in</strong>g the <strong><strong>in</strong>activation</strong> rateare recognised and represented <strong>in</strong> the system. The maturation process is characterised bystable temperature and pH, but decreas<strong>in</strong>g water activity. Data presented earlier, however,showed that the decrease <strong>in</strong> water activity has little effect on the rate of <strong><strong>in</strong>activation</strong>.Conversely, there appears to be greater variability <strong>in</strong> the extent of <strong><strong>in</strong>activation</strong> dur<strong>in</strong>gfermentation. This possibly arises because dur<strong>in</strong>g fermentation the chemistry of the systemis rapidly chang<strong>in</strong>g. Temperature rises, water activity decreases, pH decreases, sugars areconverted to organic acids, and nitrite may be produced from nitrate or bound by ascorbate,or myoglob<strong>in</strong>, etc. Development of a reliable model system that can characterise <strong><strong>in</strong>activation</strong>dur<strong>in</strong>g fermentation will require better understand<strong>in</strong>g of the processes, and their sequence,that lead to <strong><strong>in</strong>activation</strong> dur<strong>in</strong>g fermentation.Selection of stra<strong>in</strong>s and <strong>in</strong>oculum preparation has been discussed extensively <strong>in</strong> otherarenas. It is generally accepted that stra<strong>in</strong>s with acid tolerance at least as great as that of themost acid-tolerant EHEC stra<strong>in</strong>s be used, and prepared <strong>in</strong> such a way that their resistance ismaximised prior to <strong>in</strong>troduction to the batter or test system.Page 43 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFM 44.7. Conclusions and Recommendations7.1 IntroductionIn this review we have attempted to move beyond a collation of <strong><strong>in</strong>activation</strong> data and todevelop an understand<strong>in</strong>g of the ecology of E. <strong>coli</strong> <strong>in</strong> the chang<strong>in</strong>g environment of UCFMdur<strong>in</strong>g production. We have done this by draw<strong>in</strong>g on the results of ‘fundamental’ studies onthe k<strong>in</strong>etics of <strong><strong>in</strong>activation</strong> of E. <strong>coli</strong> under lethal pH and water activity <strong>in</strong> the temperaturerange that permits its growth. We have used those <strong>in</strong>sights to develop an <strong>in</strong>terpretation,consistent with the published literature, of the effects of analogous processes <strong>in</strong> UCFM thatdictate E. <strong>coli</strong> <strong><strong>in</strong>activation</strong>.From that <strong>in</strong>terpretation we now identify <strong>in</strong>formation not currently available that we consideris required to• test that <strong>in</strong>terpretation;• to assess the compliance of Australian UCFM processes with the requirement for a 3-logkill, andSecondly, we will propose a strategy to acquire that <strong>in</strong>formation. F<strong>in</strong>ally, we consideralternative management strategies to m<strong>in</strong>imise the public health risk posed by pathogenicE. <strong>coli</strong> <strong>in</strong> Australian UCFM.7.2 Gaps <strong>in</strong> current knowledgeIt is already well known that few of the UCFM processes currently <strong>in</strong> use <strong>in</strong> Australia, orelsewhere, will reliably achieve a 3-log kill unless they <strong>in</strong>volve elevated temperatures orextended fermentation, hold<strong>in</strong>g, maturation or storage times. Thus, the gaps <strong>in</strong> knowledgerelate primarily to the ability to assess the extent of <strong><strong>in</strong>activation</strong>.We suggested that:• time• temperature,• pH,• organic acid levels,• water activity, and• redox potentialall play a role <strong>in</strong> determ<strong>in</strong><strong>in</strong>g the amount of <strong><strong>in</strong>activation</strong> that occurs dur<strong>in</strong>g the manufacture ofUCFM. We also suggested that the time when conditions <strong>in</strong> the ferment<strong>in</strong>g batter firstprevent the growth of E. <strong>coli</strong> may significantly affect the amount of <strong><strong>in</strong>activation</strong> dur<strong>in</strong>g thatstage of manufacture.7.2.1 Effect of Environmental Factors on Inactivation RateFor simplicity, and because <strong><strong>in</strong>activation</strong> of E. <strong>coli</strong> <strong>in</strong> UCFM is not <strong>in</strong>stantaneous, we base ourcomments on the affects of the above factors on <strong><strong>in</strong>activation</strong> rates.Of the above factors, we consider that the effect of temperature only on <strong><strong>in</strong>activation</strong> rate is(now) well characterised.The relative effects of pH and water activity on <strong><strong>in</strong>activation</strong> rates are known, but require moreaccurate quantification. The relative effects of lactic acid concentration are not wellcharacterised. It is predicted that the pH levels achieved <strong>in</strong> UCFM are <strong>in</strong>adequate on theirown to prevent E. <strong>coli</strong> growth. Importantly, the <strong>in</strong>teractions of these factors will also need tobe quantified. In particular, the apparent <strong>in</strong>teractions of low temperature and pH shown <strong>in</strong> thedata of Brown (<strong>in</strong> preparation) should be better characterisedPage 44 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFM 45.The role of redox potential on <strong><strong>in</strong>activation</strong> rates is necessary ma<strong>in</strong>ly to develop a modelsystem that reliably mimics <strong><strong>in</strong>activation</strong> rates <strong>in</strong> UCFM. Differences <strong>in</strong> the redox potential ofUCFM are not expected to contribute significantly to differences <strong>in</strong> <strong><strong>in</strong>activation</strong> rates.7.2.2 K<strong>in</strong>etics of InactivationIn many UCFM processes currently <strong>in</strong> use the extent of E. <strong>coli</strong> <strong><strong>in</strong>activation</strong> is spreadapproximately evenly between <strong><strong>in</strong>activation</strong> dur<strong>in</strong>g fermentation and <strong><strong>in</strong>activation</strong> dur<strong>in</strong>gmaturation. Temperature differences appear to account for 65 – 70% of the variation <strong>in</strong> the<strong><strong>in</strong>activation</strong> rates observed.While the k<strong>in</strong>etics of <strong><strong>in</strong>activation</strong> dur<strong>in</strong>g maturation are well described, and suggest log-l<strong>in</strong>earresponses, the k<strong>in</strong>etics of <strong><strong>in</strong>activation</strong> dur<strong>in</strong>g fermentation are poorly characterised. Adetailed description of the changes <strong>in</strong> E. <strong>coli</strong> populations dur<strong>in</strong>g:• the preparation of the batter (e.g. does the addition of salt br<strong>in</strong>g about a rapid <strong><strong>in</strong>activation</strong>due to the water activity shock),• the warm<strong>in</strong>g of the batter (e.g. does the slow change <strong>in</strong> conditions enable E. <strong>coli</strong> growthand, if so, are the grow<strong>in</strong>g cells more rapidly <strong>in</strong>activated when conditions become <strong>in</strong>imicalfor growth), and• the acidification and dry<strong>in</strong>g of the batter that occurs dur<strong>in</strong>g fermentation (i.e. does growthcease immediately when conditions become <strong>in</strong>imical for growth? Does it matter whichfactor first prevents growth, e.g. pH, water activity, undissociated lactic acidconcentration?),is needed to test the validity of the <strong>in</strong>terpretation developed <strong>in</strong> this report, i.e. that oncegrowth is prevented, <strong><strong>in</strong>activation</strong> commences at a predicable rate. From this knowledge,better assessment of the potential extent of <strong><strong>in</strong>activation</strong> dur<strong>in</strong>g fermentation could beachieved. Equally, modifications to UCFM processes that would optimise the <strong><strong>in</strong>activation</strong> arelikely to be developed from this knowledge. It is also necessary to determ<strong>in</strong>e whether Phase1-type k<strong>in</strong>etics occur <strong>in</strong> UCFM process, or whether the slow change <strong>in</strong> environmentalconditions after preparation of the batter elim<strong>in</strong>ates this 15 .We alluded earlier to the possibility that <strong><strong>in</strong>activation</strong> rates may display multi-phasic k<strong>in</strong>etics,and the demonstration of a third, rapid, phase of <strong><strong>in</strong>activation</strong> observed <strong>in</strong> simple laboratorybroth. While this ‘Phase 3’-type <strong><strong>in</strong>activation</strong> has not been reported <strong>in</strong> UCFM systems, if itcould be <strong>in</strong>duced to occur it would be an additional factor improv<strong>in</strong>g the safety of UCFMproducts 16 .7.3 Recommendations to Acquire DataWe recommend that Meat and Livestock Australia undertake a program of research toaddress the above data gaps. We propose a systematic study to acquire rate of <strong><strong>in</strong>activation</strong>data and to test the hypotheses developed above.The studies proposed fall naturally <strong>in</strong>to two ma<strong>in</strong> areas -Inactivation dur<strong>in</strong>g maturation and the microbial ecology of batter preparation and<strong><strong>in</strong>activation</strong> dur<strong>in</strong>g fermentation.1516We recognise that this is apparently at conflict with our earlier suggestion (Section 6.4) that challenge test organismsshould not be grown on meat because this may <strong>in</strong>crease their sensitivity to <strong>in</strong>imical conditions, but there currently is nosufficiently detailed <strong>in</strong>formation concern<strong>in</strong>g <strong><strong>in</strong>activation</strong> dur<strong>in</strong>g fermentation to be able to resolve this question.Note added <strong>in</strong> proof: Some results presented <strong>in</strong> Lahti et al. (2001) published after preparation of this work, provideevidence of “Phase 3’ type <strong><strong>in</strong>activation</strong> <strong>in</strong> UCFM products, but possibly correspond<strong>in</strong>g with relatively rapid decl<strong>in</strong>e <strong>in</strong>water activity after 21 days of maturation.Page 45 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFM 46.7.3.1 Methods and MaterialsTest stra<strong>in</strong>sStra<strong>in</strong>s of E. <strong>coli</strong> that should be used <strong>in</strong> the proposed studies have already been identifiedand isolated by Vanderl<strong>in</strong>de (1999). An additional non-pathogenic stra<strong>in</strong>, M23, is wellcharacterised (Brown et al., 1997) and displays high tolerance to acid and other stresses.Inoculum preparationMethods for <strong>in</strong>oculum preparation that maximise tolerance to <strong>in</strong>imical conditions are also welldescribed <strong>in</strong> the scientific literature and <strong>in</strong> the studies of Grau (1996), and Vanderl<strong>in</strong>de(1999). We consider that test organisms should not be grown to high numbers on the meatprior to experiments, for reasons discussed <strong>in</strong> Section 6.4. Rather, stra<strong>in</strong>s <strong>in</strong>duced to havemaximum tolerance should be used <strong>in</strong> all experimental studies consistent with a worst-caseapproach.Enumeration methodsRecovery methods and enumeration media to maximise recovery of stressed or sub-lethally<strong>in</strong>jured cells are also well described <strong>in</strong> the literature. In particular media which <strong>in</strong>clude bilesalts should be avoided. Recovery may be enhanced by appropriate selection of diluents,and <strong>in</strong>clusion of sodium pyruvate (or other “oxygen scavengers”) <strong>in</strong> the enumeration medium.Characterisation of Australian UCFM processBefore commenc<strong>in</strong>g experimental work a systematic study should be undertaken ofAustralian UCFM processes <strong>in</strong> terms of product formulations, times and temperatures ofprocess<strong>in</strong>g, and critical control limits for process<strong>in</strong>g. These data will be used to assist <strong>in</strong> thedesign of experiments with<strong>in</strong> appropriate bounds. Some of this data is already availablethrough pro formas submitted to the ANZFA UCFM Expert Panel, but may need to besupplemented by additional surveys of producers.7.3.2 Maturation StudiesThe maturation phase of UCFM manufacture is characterised by a relatively stableenvironment, except for the steady decl<strong>in</strong>e <strong>in</strong> water activity. We believe it should be possibleto develop a simple broth based model system to allow systematic experiments to generatequantitative data for the rates of <strong><strong>in</strong>activation</strong> due to the physico-chemical environment ofUCFM products.The first step will be to develop a system that reliably mimics <strong><strong>in</strong>activation</strong> rates <strong>in</strong> UCFM, butthat is less costly and less difficult to work with. The potential for a broth-based system to dothis should be explored. The first step will be to assess the importance of redoxpotential/oxygenation of broths on <strong><strong>in</strong>activation</strong> rates under conditions of pH, lactic acidconcentration and water activity representative of UCFM.The second step will be to demonstrate that <strong><strong>in</strong>activation</strong> rates <strong>in</strong> the broth model system,under conditions analogous to UCFM, are similar to rates <strong>in</strong> the UCFM. Exist<strong>in</strong>g UCFMbased<strong><strong>in</strong>activation</strong> rate data could be used as reference data for that assessment.Subsequent validation of the system would be by limited parallel experiments <strong>in</strong> the brothmodel system and analogous UCFM products.If the model system is reliable, the follow<strong>in</strong>g should be done:• confirm and quantify the effect of temperature on <strong><strong>in</strong>activation</strong> rate of E. <strong>coli</strong> (<strong>in</strong> thetemperature range of relevance to UCFM, and at fixed levels of water activity, pH andlactate representative of UCFM);Page 46 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFM 47.• confirm and quantify the effect of water activity on <strong><strong>in</strong>activation</strong> rate of E. <strong>coli</strong> (<strong>in</strong> the wateractivity range of relevance to UCFM, and at fixed levels of temperature, pH and lactaterepresentative of UCFM);• determ<strong>in</strong>e and quantify the effect of pH on <strong><strong>in</strong>activation</strong> rate of E. <strong>coli</strong> (<strong>in</strong> the pH range ofrelevance to UCFM, and at fixed levels of temperature, water activity and lactaterepresentative of UCFM);• determ<strong>in</strong>e and quantify the effect of undissociated lactic acid on <strong><strong>in</strong>activation</strong> rate of E. <strong>coli</strong>(<strong>in</strong> the lactic acid range of relevance to UCFM, and at fixed levels of temperature, wateractivity and pH representative of UCFM);• undertake experiments to determ<strong>in</strong>e whether there are synergies <strong>in</strong> the effects of the fourvariables identified above;• develop a predictive model based on the four variables nom<strong>in</strong>ated;• assess the relative importance of each of these factors on <strong><strong>in</strong>activation</strong> rate, and thedeterm<strong>in</strong>e the extent to which they expla<strong>in</strong> the exist<strong>in</strong>g <strong><strong>in</strong>activation</strong> rate data; and• ref<strong>in</strong>e the predictive model for practical application as a tool to assess the efficacy ofmaturation processes on E. <strong>coli</strong> <strong><strong>in</strong>activation</strong>.7.3.3 Fermentation StudiesWe consider it less likely that a reliable broth-based model system could be developed tomimic the microbial ecology of E. <strong>coli</strong> dur<strong>in</strong>g fermentation. Instead we propose thatsystematic studies be undertaken <strong>in</strong> a model meat fermentation process. The objective ofthese studies will be to:a) characterise <strong>in</strong> detail and correlate the changes <strong>in</strong>:• E. <strong>coli</strong> population size,• pH• organic acid concentration• water activity changes• total viable microbial count changesdur<strong>in</strong>g the preparation of the batter and progress of the fermentation. These data willbe comb<strong>in</strong>ed with the rate of <strong><strong>in</strong>activation</strong> model, and exist<strong>in</strong>g growth/no growthmodels tob) test the hypothesis that the composition of the batter is largely unimportant, and thatthe amount of <strong><strong>in</strong>activation</strong> can be predicted on the basis of the time when conditions<strong>in</strong> the batter first prevent growth and the affect of physico-chemical conditions <strong>in</strong> thebatter on <strong><strong>in</strong>activation</strong> rate.7.3.4 Other StudiesThe basis of the third phase <strong><strong>in</strong>activation</strong> seen <strong>in</strong> broth but not <strong>in</strong> UCFM data should beexplored to determ<strong>in</strong>e whether it can be <strong>in</strong>duced to occur <strong>in</strong> UCFM production.7.3.5 Validation StudiesTo assess the reliability of the models created, a series of validation trials under commercialprocess<strong>in</strong>g conditions are required. The results of those trials will be used to further ref<strong>in</strong>ethe models.7.4 Other RecommendationsFew UCFM processes, whether Australian or those of other nations, reliably deliver a 3-logkill. One alternative is to use the knowledge developed <strong>in</strong> the current review, and that whichwill be developed dur<strong>in</strong>g the proposed experimental program, to design processes that doachieve a 3-log kill. It has been noted, however, that many UCFM manufacturers would bePage 47 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFM 48.loathe to change traditional recipes and processes . Recommendations to mandate specificprocesses are likely to lessen the diversity of UCFM products on the markets, withconsumers los<strong>in</strong>g a range of choice. Any proposed change should ideally preserve thisdiversity and choice.From this review an obvious manipulation is to <strong>in</strong>crease maturation temperatures by a fewdegrees. This is unlikely to greatly affect the aesthetic qualities of the f<strong>in</strong>al product, but wouldaccelerate <strong><strong>in</strong>activation</strong> rates. The faster dry<strong>in</strong>g expected to result from ripen<strong>in</strong>g at highertemperatures, and the attendant risk of case-harden<strong>in</strong>g, could be offset by higher relativehumidity <strong>in</strong> ripen<strong>in</strong>g rooms.However, the observation that few Australian UCFM processes achieve a 3-log kill promptsthe question whether specification of a 3-log kill is appropriate, particularly <strong>in</strong> the relativeabsence of ongo<strong>in</strong>g disease outbreaks. Where outbreaks do occur typically they have beenattributed to failure to observe GMP and to <strong>in</strong>attention to known critical controls <strong>in</strong> the UCFMprocess. Microbiological criteria for foods should be technologically feasible (NRC, 1985).A Food Safety Objective (FSO) specify<strong>in</strong>g the maximum tolerable number of pathogenicE. <strong>coli</strong> <strong>in</strong> UCFM at the completion of manufacture would allow processors to manipulate both<strong>in</strong>com<strong>in</strong>g raw <strong>in</strong>gredients quality and <strong><strong>in</strong>activation</strong> dur<strong>in</strong>g process<strong>in</strong>g to satisfy the FSO. ThatFSO level could be set us<strong>in</strong>g the methods of quantitative risk assessment, and severalassessments of the risk of E. <strong>coli</strong> <strong>in</strong> UCFM have already been presented (Lammerd<strong>in</strong>g et al.1998; M. Cass<strong>in</strong>, pers. comm, 1997).The microbial ecology of UCFM is reasonably well understood and rational HACCP planscould be developed for <strong>in</strong>dividual processes to meet the FSO. In response to the failure ofUSA UCFM processes to reliably achieve a 5-log kill, USA regulators amended regulations toallow a 2-log kill when a reliable HACCP plan was employed.Thus, given the <strong>in</strong>ability of most UCFM processes <strong>in</strong> current use to reliably achieve a 3-logkill of E. <strong>coli</strong>, a f<strong>in</strong>al set of recommendations is:• that either Australian UCFM processes be modified so that they can achieve the requiredthe 3-log kill, or• that the need for a three log kill is re-assessed, and alternative risk managementstrategies clearly based on food safety outcomes are developed.1717This concern is often raised. John W<strong>in</strong>tulich (J. W<strong>in</strong>tulich, pers comm, December, 2000) is a former South AustralianUCFM producer, and now and <strong>in</strong>dustry consultant. He suggests, however, that many producers simply seek practicaladvice to make their products ‘safe’ and would be will<strong>in</strong>g to modify processes if necessary.Page 48 of 59


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Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFM 53.APPENDIX 1: Nomenclature and characteristics of various UCFMReproduced from Ricke and Keeton (1997).Page 53 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFM 54.APPENDIX 2: Characteristics of fermented meat products available <strong>in</strong> NorthAmerica and AustraliaName/StylepHtotal acidity(%)Lebanon bologna regular .5-1.2 .93-.98Lebanon Bologna sweet .3-.7 .94-.98Italian salami 0.47 0.79Cervelat 0.4 0.93Thur<strong>in</strong>ger 0.7 0.92Pepperoni .3-.8 .81-.87Ital<strong>in</strong> dry salami 1.0-1.7 .85-.92farmer salami 5.4 0.89pepperseed salami 4.6 0.84pepperseed salami 4.9 0.78summer salami 5.5 0.82Portuguese salami 5.6 0.95Genoa style beef salami 5.1 0.88pick salami 6.1 0.82spicy paprika salami 5.4 0.84chabi sausage 5.7 0.94domace smokedsausage5 0.86Italian salami 5.8 0.86deli sticks 5.7 0.87landjaegar salami 5.8 0.87smoked ham 6 0.93Hungarian salami 6.3 0.94Hungarian salami 6.4 0.95Portuguese salami 4.8 0.88Portuguese salami 5.5 0.95Portuguese salami 5.6 0.97beef salami 4.6 0.93German style salami 6.3 0.93hungarian salami 6.2 0.95pick salami 6.3 0.85German salami 4.6 0.89gypsy salami 4.7 0.9Jugoslavian salami 4.9 0.9Jugoslavian salami 4.9 0.65kaiser salami 4.3 0.93Mailander salami 4.9 0.69old forest salami 4.6 0.79paprika salami 4.9 0.89szegedi 5.1 0.83szegedi 5.5 0.79Yugoslavian salami 5.1 0.86Yugoslavian salami 5 0.88Genoa salami 4.9 0.87dry salami 4.5 0.9csabai 4.9 0.89orig<strong>in</strong>al Hungarian salami 5.2 0.83camp<strong>in</strong>g salami 5 0.91awreferenceGenigeorgis et al.(1976)Lee and Styliadis(1996)Page 54 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFM 55.csabai 5.3 0.87German style salami 4.7 0.93German style salami 4.6 0.95Hungarian salami 4.8 0.95Hungarian salami 4.7 0.96kaiser salami 4.7 0.94Mexican style salami 4.8 0.9mustardseed salami 4.9 0.9pepper salami 4.4 0.77Pepperoni 4.74±.09 .87±.02 H<strong>in</strong>kens et al. (1996)pepperoni 4.77±.01 .90±.03 Faith et al. (1997)beef summer sausage 4.9±.09 0.95 Colicioglu et al. (1997)salmetti 5.04±.048 .837±.048 Holley et al. (1988)Genoa 4.88±.41 .838±.0424.75±.19 .882±.052pepperoni 4.6 0.789 Smith et al. (1975)5 0.805AUSTRALIAN PRODUCTScervalatewurst 4.7hot hungarian salami 4.8 0.92hungarian salami 5.5 0.93meat sticks 4.8 0.83mettwurst 4.4 0.9mettwurst 4.9mettwurst 4.8 0.91mettwurst/salami 4.4mettwurst/salami 4.8mettwurst/salami/pepperoni4.8 0.91milano 4.8 0.92mild salami 4.9 0.93peperoni hot rockets 6.6 0.83peperoni salami 4.8 0.91salami 5.3salami 4.5salami 4.9salami 5 0.93salami, mettwurst 4.4 0.91Csabai 5.2name unknown 5.24 0.92name unknown 4.8 0.87name unknown 4.8 0.91name unknown 4.8 0.95name unknown 4.5 0.95name unknown 4.8 0.95name unknown 5name unknown 5name unknown 5name unknown 5.3name unknown 4.7 0.83ANZFA (A.Naco,pers.comm., 2000)Page 55 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFM 56.APPENDIX 3: UCFM process<strong>in</strong>g comb<strong>in</strong>ations trialled <strong>in</strong> the Blue Ribbon TaskForce evaluation (Reproduced from Nickelson, 1996).Page 56 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFM 57.APPENDIX 4: Process<strong>in</strong>g methods for some traditional Asian products.All reproduced from ASCA (1986).Page 57 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFM 58.Safety of Asian UCFM Relative to ‘Western” UCFM productsIn general, the products described above have parallels <strong>in</strong> Western-style UCFMs.On the basis of the data and discussion presented <strong>in</strong> the ma<strong>in</strong> body of this report, weconclude that Longanisa is a relatively unsafe product because the fermentation is relativelyshort and there is no dry<strong>in</strong>g period. Nham has a relatively high salt concentration, andrelatively long and warm fermentation and maturation treatments. Provided that times andtemperatures employed are <strong>in</strong> the upper levels specified for each, Nham is assessed asprobably be<strong>in</strong>g safe relative to Western style products. If shorter fermentation andmaturation times and temperatures closer to 25°C were used, the product would be lesssafe.Tapa is produced under a relatively short fermentation time. No details of the dry<strong>in</strong>gconditions are provided, so that it is difficult to assess the safety of the Tapa relative to the 3-log kill criterion.Page 58 of 59


Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFM 59.APPENDIX 5: Discussion of Grau's Broth Model Results with In-ProductResultsOn the basis of his studies of E. <strong>coli</strong> <strong><strong>in</strong>activation</strong> Grau (1996) concluded that “model [broth]systems can be used to <strong>in</strong>dicate general effects …. but cannot be used to provide specificrates of destruction”. Grau’s conclusion seems to have been based on his data for<strong><strong>in</strong>activation</strong> <strong>in</strong> an acidified, water activity modified broth compared to an acidified, wateractivity modified m<strong>in</strong>ced beef model. These data were shown <strong>in</strong> Figures 9 as the Grau #3,Grau #4 and Grau #5 data sets. In each of those data sets the relative temperature responseis nearly identical, and while the absolute rate of <strong><strong>in</strong>activation</strong> at 25°C is approximately twofoldfaster <strong>in</strong> the broth system than <strong>in</strong> the m<strong>in</strong>ced beef, the rates are very similar at 15°C.Those results are based on the average <strong><strong>in</strong>activation</strong> of 5 stra<strong>in</strong>s, however, and there isconsiderable variation <strong>in</strong> the data for <strong>in</strong>dividual stra<strong>in</strong>s as shown <strong>in</strong> Table 8 below. It shouldalso be noted that the <strong><strong>in</strong>activation</strong> was reported to be non-l<strong>in</strong>ear <strong>in</strong> some cases <strong>in</strong> bothsystems. The rate data summarised below has ignored this to attempt to simplify thecomparison of the data.Table 8.Data of Grau (1996) compar<strong>in</strong>g rates of <strong><strong>in</strong>activation</strong> of 6 stra<strong>in</strong>s of Escherichia<strong>coli</strong> <strong>in</strong> meat- of broth-based model of UCFM.Inactivation Rate (logCFU/day)25°C 15°CStra<strong>in</strong> Meat Broth Ratio Meat Broth RatioL1A 0.150 0.180 0.83 0.067 0.005 13.4USS 0.250 0.550 0.45 0.100 0.240 0.42Adelaide 0.183 0.150 1.22 0.100 0.080 1.25Human H7 0.167 0.700 0.24 0.071 0.160 0.449001 0.250 0.660 0.38 0.124 0.210 0.59While there is some variation among the pattern of response of the <strong>in</strong>dividual stra<strong>in</strong>s, theacidified, water activity-modified broth system produces greater rates of <strong><strong>in</strong>activation</strong> at 25°Cthan the meat-based model system. However, the rate of <strong><strong>in</strong>activation</strong> <strong>in</strong> the meat system isrelatively slow when compared to the rate of <strong><strong>in</strong>activation</strong> <strong>in</strong> salamis from many other studiesshown <strong>in</strong> Figure 9b. This suggests that the meat based data at 25°C is anomalously slow,perhaps due to uncontrolled changes <strong>in</strong> the m<strong>in</strong>ced beef due to the growth of compet<strong>in</strong>gflora, as alluded to by Grau (1996).Page 59 of 59

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