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Modelling beer fermentation variability

Lookup NU author(s): Dr Chris O'MalleyORCiD, Professor Gary Montague


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In this paper we present the outcomes of three different approaches to characterising beer fermentations, with the particular aim of predicting the likelihood of the target 'present gravity' (PG) being reached within a given time window. The study uses data collated at real brewery sites, and from three different beer qualities. The approaches include: the modelling of the PG curve by a mathematical function; a nearest neighbour (NN) approach; and the generation of centile curves. We show that it is useful to combine these approaches; a software package allowing them to be integrated has been developed, which enables an informed judgement to be made as to whether a given fermentation deviates from normal behaviour. © 2007 Elsevier Ltd. All rights reserved.

Publication metadata

Author(s): Defernez M, Foxall RJ, O'Malley CJ, Montague G, Ring SM, Kemsley EK

Publication type: Article

Publication status: Published

Journal: Journal of Food Engineering

Year: 2007

Volume: 83

Issue: 2

Pages: 167-172

Print publication date: 01/11/2007

ISSN (print): 0260-8774

ISSN (electronic): 1873-5770

Publisher: Elsevier


DOI: 10.1016/j.jfoodeng.2007.02.033


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