2007
DOI: 10.1016/j.jfoodeng.2007.02.033
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Modelling beer fermentation variability

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Cited by 13 publications
(8 citation statements)
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“…Currently, there are many beer styles and types, depending on the brewing process and ingredients used. The addition of hops improved the taste and the protection of beer due to its pH lowering effect and antibacterial activity, which inhibits Gram-positive bacteria, but it is ineffective against brewer’s yeast, making beer a safe drinking source [1,2,3,4].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Currently, there are many beer styles and types, depending on the brewing process and ingredients used. The addition of hops improved the taste and the protection of beer due to its pH lowering effect and antibacterial activity, which inhibits Gram-positive bacteria, but it is ineffective against brewer’s yeast, making beer a safe drinking source [1,2,3,4].…”
Section: Introductionmentioning
confidence: 99%
“…Lager beer is the most widespread style and it is primarily produced with Saccharomyces pastorianus yeast strains, being fermented at temperatures that range from 3.3 to 13.0 °C for 4–12 weeks. In contrast, ale beers, which are more prevalent in northern countries, such as Germany, Belgium, Canada, and Britain, are typically fermented at higher temperatures ranging from 16 to 24 °C for 7–10 days, by the top yeast strain, Saccharomyces cerevisiae [1,5,6,7,8].…”
Section: Introductionmentioning
confidence: 99%
“…The optimization of brewing fermentations has been studied using modelling tools in order to understand variations in the beer profile caused by the process variables 12,18,44,53,54 . In this study, the focus was on the evaluation of the effect of environmental factors such as wort concentration, dissolved oxygen, temperature and yeast pitching rate on the productivity parameters of a brewing fermentation, with an industrial lager brewer's yeast strain, with the application of a full factorial design.…”
Section: Introductionmentioning
confidence: 99%
“…Modelling total sugar consumption has many advantages, such as predicting the final density/sugar content (Defernez et al, 2007), approximating the time until completion (Speers et al, 2003) and phenotyping the yeast strain. Nonlinear models are already promoted for use in various analytical methods within the brewing industry, such as the "nearest neighbour" and "predictive modelling" techniques (Trelea, Titica, et al, 2001), in which easily measured parameters are related to others.…”
Section: Modelling Fermentationsmentioning
confidence: 99%
“…The full name for this equation is the regularized incomplete β-function; however, the name is often shortened in literature to the incomplete β-function. Defernez et al, 2007) to model and predict the end parameters of fermentation. Defernez et al, 2007) to model and predict the end parameters of fermentation.…”
Section: The Incomplete β-Function (Ibf)mentioning
confidence: 99%