here - the 34th European Brewery Convention

process monitoring and improved control. Our data demonstrate that quantitative real-time
measurement of target compounds by Selected Ion Flow Tube-Mass Spectrometry (SIFT-MS) is of
high added value for ongoing malting and brewing research, and for subsequent applications in the
brewing industry, e.g. quality control of raw materials (malt, hops), monitoring fermentation, fast
evaluation of wort, fresh and aged beer quality parameters. Whereas GC-MS is the technique of
choice for detailed analytical volatile fingerprinting, it is not suited for real-time quantitative monitoring.
In this respect, the SIFT-MS technology is fully complementary to GC-MS for quality control and
process optimisation.
P4
Potential of near-infrared spectroscopy (NIR) in beer food chain: Applications in malting
Paolo Fantozzi 1 , Giuseppe Perretti 1 , Valeria Sileoni 1 , Ombretta Marconi 1 ,
1 University of Perugia, Italian Brewing Research Centre (CERB), Perugia, Italy
Aims: This research aims to novel applications of NIR in beer food chain. Beyond the mature
utilizations of NIR for barley and malt quality assessment, the purpose was the development of new
methods to monitor the malting process and to predict the suitability of barley for beer production
before malting.
Methods: Barley were malted using micro-malting pilot plant and then analysed by standard A-EBC
methods. The NIR absorption spectra were collected on barley, green malt and final malt and
correlated with the analytical data.
Results: Fast, reliable and easy NIR calibration methods were developed to measure:
· barley and malt quality parameters
· malt quality parameters directly on barley as potential for malt features
· malt parameters on green malt at-line during malting process.
Conclusions: The use of NIR to monitor malting process and to predict malt parameters directly on
barley can be extremely useful for maltsters to sort it and handle it during malting, saving money and
time.
P5
Quantitative cleaning investigations using falling film
Enrico Fuchs 1 , Manuel Helbig 1 , André Boye 2 , Marc Mauermann 2 , Jens-Peter Majschak 1,2
1 Technische Universität Dresden, Faculty of Mechanical Engineering, Institute of Processing Machines
and Mobile Machines, Dresden, Germany, 2 The Fraunhofer Application Center for Processing
Machinery and Packaging Technology, Dresden, Germany
Cleaning of machinery is crucial due to the required product safety and increasing production costs.
Often a large quantity of cleaning fluid is used to remove the deposits. This results in high costs for
fresh- and wastewater. In non-immerged systems (e.g. vessels) there are different flow types providing
the cleaning effect (impinging jet, film). Spray balls are often used for cleaning, where the main
cleaning is provided by falling film. An approach to reduce cleaning time and fluid consumption is to
optimize the cleaning by draining film. To determine the cleaning rate, a quantitative optical method is
used.
In this paper
(i) a reproducible soiling method and the
(ii) minimization of optical errors is shown. Also, the
(iii) calculation of the local distribution of soiling weights on samples is explained. Furthermore, the
(iv) validation of the method by cleaning with falling films and its application is shown.
The cleaning curves can be used to optimize cleaning of falling films.