Establishment and validation of a kinetic model for the changes in microbial cells and substances during fermentation process of lager beer

In order to study the kinetic model of changes in microbial cells and substances during fermentation process of lager beer, the reducing sugars, α-amino acid nitrogen, yeast count, diacetyl content and fermentation degree were detected every 24 h over 15 d during the beer fermentation, and the data...

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Bibliographic Details
Published inZhōngguó niàngzào Vol. 44; no. 1; pp. 185 - 190
Main Author LI Li, CHEN Bo, QIU Ran, WANG Yi, SHAO Shujuan, WU Jianhang, ZONG Xuyan
Format Journal Article
LanguageEnglish
Published Editorial Department of China Brewing 01.01.2025
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Summary:In order to study the kinetic model of changes in microbial cells and substances during fermentation process of lager beer, the reducing sugars, α-amino acid nitrogen, yeast count, diacetyl content and fermentation degree were detected every 24 h over 15 d during the beer fermentation, and the data were nonlinear fitted using typical models including Logistic, Boltzmann, DoseResp, and Farazdaghi-Harris. The results showed that the diacetyl, reducing sugars and α-amino acid nitrogen contents decreased during the beer fermentation, the yeast count initially increased and then decreased, and the fermentation degree initially increased and then stabilized. The Logistic model could reflect the consumption of reducing sugars well, with a fitting coefficient R2 of 0.999 8. The Boltzmann model was suitable for describing changes in α-amino acid nitrogen contents, with a fitting coefficient R2 of 0.998 1. The DoseResp model, used for the kinetic model of yeast count changes, had a fitting coefficient R2 of 0.991 0 and was effective in predicting yeast count trends during the beer fermentation. The optimized diacetyl kinetic model had a fitting coefficient R2 of 0.997 0. The change in fermentation degree was accurately described using DoseResp model, with a fitting coefficient R2 of 0.999 2. Compared to different batches of the same type of beer, the established models demonstrated good fitting effects and were deemed suitable for describing the kinetic changes in the beer fermentation process in actual production.
ISSN:0254-5071
DOI:10.11882/j.issn.0254-5071.2025.01.027