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La Vague N.4 - A3P

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A TELIERS INTERACTIFS<br />

customer base then this particular risk element may be<br />

lower.<br />

When it comes to actually implementing a Rapid<br />

Microbiology Test System a number of criteria will<br />

become very important and the ability of the supplier<br />

to provide these should be established at the audit<br />

stage.<br />

Procedures and documentation for the following should<br />

be available<br />

1. Installation 4. Calibration<br />

2. Operation 5. Service<br />

3. Training<br />

So finally the responsibility of the equipment supplier is<br />

to validate their system according to USP or<br />

, or PDA Technical Report 33 and be able to<br />

provide the data to demonstrate this and to facilitate<br />

customers to do the same.<br />

Using the Validation Guidelines<br />

USP /PDA TR33: Validation of Alternative<br />

Microbiological Methods<br />

These chapters give clear guidance on the following criteria<br />

1. Accuracy 5. Linearity<br />

2. Precision 6. Range<br />

3. Specificity 7. Ruggedness<br />

4. Quantification Limit 8. Robustness<br />

I will discuss some of these criteria using the example<br />

of the Millipore Microstar System. The Microstar is a<br />

complete system for the detection and enumeration of<br />

viable microorganisms in filterable samples. Typically<br />

it takes only 1/4 to 1/3 the time of conventional<br />

methods to achieve a comparable result.<br />

The Microstar uses a traditional microbiology technique<br />

(membrane filtration) coupled with ATP bioluminescence<br />

and CCD image analysis to give you comparable<br />

results to the compendial method, but within a<br />

much shorter time frame. The Microstar can be used<br />

for testing water, in-process product and final product<br />

within the Pharmaceutical Industry.<br />

Accuracy<br />

Accuracy can be defined as the closeness of a test<br />

result to the results predicted by the compendial<br />

method. Accuracy is expressed as the percentage recovery<br />

of microorganisms by the test method.<br />

The alternate method must provide an estimate of not<br />

less than 70% of the estimate provided by the compendial<br />

method.<br />

An example is shown below:<br />

Organism Average Percent Recovery<br />

E. coli 95<br />

A. niger 127<br />

P. aeruginosa 82<br />

C. albicans 104<br />

S. aureus 97<br />

B. subtilis 108<br />

Precision<br />

Precision can be defined as the degree of agreement<br />

among test results when the procedure is applied to<br />

multiple samplings of suspensions of microorganisms<br />

across the range of a test. These have been shown to be<br />

equivalent when using Microstar to compendial<br />

methods<br />

Specificity<br />

Specificity can be defined as the ability to detect a<br />

range of microorganisms, which demonstrate that the<br />

method is fit for purpose.<br />

The method’s compatibility with the different types of<br />

sample matrices should also be shown.<br />

To determine this screen the method against a representative<br />

range of microorganisms and a range of sample<br />

types that are appropriate to the method.<br />

Acceptance Criteria: All microorganisms selected as<br />

representative are successfully detected and enumerated<br />

in the sample matrices. The Microstar System has<br />

successfully been used to detect a very wide range of<br />

organisms in a huge range of sample matrices ranging<br />

from the straightforward such as water to the more<br />

challenging such as mammalian cell culture suspensions<br />

Quantification Limit<br />

Quantification Limit can be defined as the lowest number<br />

of microorganisms that can be determined with<br />

acceptable precision and accuracy under the stated<br />

experimental conditions.<br />

Z-Statistic and p-value determine whether or not data<br />

are statistically similar. The following table illustrates<br />

this.<br />

Organism MicroStar HA MF Statistically<br />

Similar?<br />

E. coli 10.6 9.7 Yes<br />

A. niger 9.6 8.2 Yes<br />

P. aeruginosa 8.8 9.1 Yes<br />

C. albicans 10.4 8.8 Yes<br />

S. aureus 14.5 12.8 Yes<br />

B. subtilis 8.0 7.0 Yes<br />

Linearity and Range<br />

Linearity can be defined as the ability of the test<br />

method to elicit results, which are proportional to the<br />

concentration of microorganisms present in the sample<br />

within a given range. Microstar shows excellent linearity<br />

up to counts of around 100 cfu per membrane. If<br />

higher counts than this are expected a dilution step<br />

may be recommended.<br />

Ruggedness<br />

Ruggedness can be defined as the degree of precision<br />

of test results obtained by analysis of the same samples<br />

under a variety of normal test conditions, such as different<br />

analysts, different instruments, different lots of<br />

reagent, etc. It is often best suited to determination by<br />

the test supplier who has easy access to multiple instruments<br />

and batches of components. Millipore has<br />

conducted extensive testing using different reagent lots<br />

on different Microstar equipment. Extensive shipping<br />

trials have also been conducted on both reagents and<br />

equipment<br />

Robustness<br />

Robustness can be defined as a measure of a method’s<br />

capacity to remain unaffected by small, but deliberate<br />

variations in method parameters, and provides an indication<br />

of its reliability during normal usage. Again this<br />

is often best suited to determination by the equipment<br />

supplier. Millipore has validated many areas of robustness<br />

in relation to the Microstar including false positive<br />

rates and incubation times. The Microstar method has<br />

been shown to be highly robust.<br />

Finally to summarise, the implementation of a Rapid<br />

Microbilogical Test Method can be achieved much more<br />

smoothly by first of all a careful audit of the suppliers<br />

capabilities and then by using these capabilities in<br />

conjunction with the available regulatory guidelines to<br />

validate your new test method. ■<br />

9

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