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here - the 34th European Brewery Convention

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sources, to account for biological variation. Currently, <strong>the</strong> database includes isolates representing 600<br />

species from 150 genera, for instance all species of <strong>the</strong> genera Pediococcus, Acetobacter and<br />

Gluconobacter. The database is now used not only for <strong>the</strong> identification of novel isolates, but also for<br />

direct identification of microorganisms in samples with a complex microbiota.<br />

P41<br />

Exploration of matrix-assisted laser desorption/ionization-time of flight mass spectrometry<br />

(MALDI-TOF MS) as a fast identification tool for beer spoilage bacteria<br />

Anneleen D. Wieme 1 , Anita Van Landschoot 1 , Peter Vandamme 2<br />

1 University College Ghent, Faculty of Applied Bioscience Engineering, Laboratory of Biochemistry and<br />

Brewing, Ghent, Belgium, 2 Ghent University, Department of Biochemistry and Microbiology,<br />

Laboratory of Microbiology, Ghent, Belgium<br />

Beer spoilage induced by bacteria is a common problem in <strong>the</strong> brewing industry and has a great<br />

impact on <strong>the</strong> brewing economy. The present study aims to develop a quick, accurate and inexpensive<br />

method to detect and identify beer spoilage bacteria. To achieve this, an extensive database<br />

comprising about 6500 MALDI-TOF MS-profiles including more than 260 accurately identified<br />

contaminants and beer spoilage isolates was built. The 260 isolates represent all commonly<br />

encountered spoilage bacteria with a focus on lactobacilli, acetic acid bacteria and some anaerobes.<br />

The profiles revealed culture-independent species-specific biomarker peaks for all spoilage species,<br />

allowing straightforward identification of novel isolates. The final aim of <strong>the</strong> present study is to detect<br />

and identify spoilage bacteria in a sample with no or minimal culture steps.<br />

P42<br />

Molecular characterisation of lactic acid bacteria community during malting<br />

Sofie Malfliet 1 , Annelies Justé 2 , Bart Lievens 2 , Luc De Cooman 1 , Guido Aerts 1<br />

1 KAHO St.-Lieven, Laboratory of Enzyme, Fermentation, and Brewing Technology (EFBT),<br />

Department Chemistry/Biochemistry - LFoRCe, Department M2S, KU Leuven, Gent, Belgium,<br />

2 Lessius Hogeschool, Laboratory for Process Microbial Ecology and Bioinspirational Management<br />

(MPE&BIM) - LFoRCe, Department M2S, KU Leuven, Sint-Katelijne-Waver, Belgium<br />

Knowledge of microbial dynamics during malting is limited, partly because conventional culturedependent<br />

approaches result in an incomplete picture of <strong>the</strong> microbial diversity. In particular, not much<br />

is known about <strong>the</strong> structure and dynamics of <strong>the</strong> lactic acid bacteria (LAB) community, yet one of <strong>the</strong><br />

most important bacterial groups in malting. In this study, <strong>the</strong> LAB microbial community structure was<br />

assessed for malting samples from different industrial malting systems, i.e. from barley to malt using<br />

two culture-independent techniques, including T-RFLP and 454 pyrosequencing. Using T-RFLP, <strong>the</strong><br />

LAB community seemed remarkably stable during malting, with <strong>the</strong> most predominant LABs<br />

originating from <strong>the</strong> barley itself. Conversely, <strong>the</strong> sensitive 454 pyrosequencing revealed differences<br />

between LAB community structures during malting, with predominance of Weissella species. Our<br />

results create a scientific basis for selection of specific LABs in view of process management in<br />

industrial malting.<br />

P43

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