Literature DB >> 34347510

The Monod Model Is Insufficient To Explain Biomass Growth in Nitrogen-Limited Yeast Fermentation.

David Henriques1, Eva Balsa-Canto1.   

Abstract

The yeast Saccharomyces cerevisiae is an essential microorganism in food biotechnology, particularly in wine- and beermaking. During wine fermentation, yeasts transform sugars present in grape juice into ethanol and carbon dioxide. The process occurs under batch conditions and is, for the most part, an anaerobic process. Previous studies linked nitrogen-limited conditions with problematic fermentations, with negative consequences for the performance of the process and the quality of the final product. It is therefore of the highest interest to anticipate such problems through mathematical models. Here, we propose a model to explain fermentations under nitrogen-limited anaerobic conditions. We separated biomass formation into two phases: growth and carbohydrate accumulation. Growth was modeled using the well-known Monod equation, while carbohydrate accumulation was modeled by an empirical function analogous to a proportional controller activated by the limitation of available nitrogen. We also proposed to formulate the fermentation rate as a function of the total protein content when relevant data are available. The final model was used to successfully explain experiments taken from the literature, performed under normal and nitrogen-limited conditions. Our results revealed that the Monod model is insufficient to explain biomass formation kinetics in nitrogen-limited fermentations of S. cerevisiae. The goodness of fit of the model proposed here is superior to that of previously published models, offering the means to predict and, thus, control fermentations. IMPORTANCE Problematic fermentations still occur in the industrial winemaking practice. Problems include low rates of fermentation, which have been linked to insufficient levels of assimilable nitrogen. Data and relevant models can help anticipate poor fermentation performance. In this work, we propose a model to predict biomass growth and fermentation rates under nitrogen-limited conditions and tested its performance with previously published experimental data. Our results show that the well-known Monod equation does not suffice to explain biomass formation.

Entities:  

Keywords:  S. cerevisiae; biomass; kinetic model; nitrogen limited; problematic fermentations; wine

Mesh:

Substances:

Year:  2021        PMID: 34347510      PMCID: PMC8478448          DOI: 10.1128/AEM.01084-21

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  23 in total

1.  Kinetic model for nitrogen-limited wine fermentations.

Authors:  Amanda C Cramer; Sophocles Vlassides; David E Block
Journal:  Biotechnol Bioeng       Date:  2002-01-05       Impact factor: 4.530

2.  Biomass content governs fermentation rate in nitrogen-deficient wine musts.

Authors:  Cristian Varela; Francisco Pizarro; Eduardo Agosin
Journal:  Appl Environ Microbiol       Date:  2004-06       Impact factor: 4.792

3.  Dynamics of ammonia uptake in nitrogen limited anaerobic cultures of Saccharomyces cerevisiae.

Authors:  U Schulze; G Lidén; J Villadsen
Journal:  J Biotechnol       Date:  1996-04-18       Impact factor: 3.307

4.  On the relationship between sloppiness and identifiability.

Authors:  Oana-Teodora Chis; Alejandro F Villaverde; Julio R Banga; Eva Balsa-Canto
Journal:  Math Biosci       Date:  2016-10-24       Impact factor: 2.144

Review 5.  Toward predictive food process models: A protocol for parameter estimation.

Authors:  Carlos Vilas; Ana Arias-Méndez; Míriam R García; Antonio A Alonso; E Balsa-Canto
Journal:  Crit Rev Food Sci Nutr       Date:  2017-06-28       Impact factor: 11.176

Review 6.  A dynamic approach to predicting bacterial growth in food.

Authors:  J Baranyi; T A Roberts
Journal:  Int J Food Microbiol       Date:  1994-11       Impact factor: 5.277

7.  Nitrogen-backboned modeling of wine-making in standard and nitrogen-added fermentations.

Authors:  R David; D Dochain; J-R Mouret; A Vande Wouwer; J-M Sablayrolles
Journal:  Bioprocess Biosyst Eng       Date:  2013-02-17       Impact factor: 3.210

8.  Analysis of Saccharomyces cerevisiae hexose carrier expression during wine fermentation: both low- and high-affinity Hxt transporters are expressed.

Authors:  Marc Perez; Kattie Luyten; Remy Michel; Christine Riou; Bruno Blondin
Journal:  FEMS Yeast Res       Date:  2005-02       Impact factor: 2.796

9.  Saccharomyces cerevisiae and S. kudriavzevii Synthetic Wine Fermentation Performance Dissected by Predictive Modeling.

Authors:  David Henriques; Javier Alonso-Del-Real; Amparo Querol; Eva Balsa-Canto
Journal:  Front Microbiol       Date:  2018-02-02       Impact factor: 5.640

Review 10.  Saccharomyces cerevisiae and its industrial applications.

Authors:  Maria Parapouli; Anastasios Vasileiadis; Amalia-Sofia Afendra; Efstathios Hatziloukas
Journal:  AIMS Microbiol       Date:  2020-02-11
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  1 in total

1.  Consideration of Maintenance in Wine Fermentation Modeling.

Authors:  Alain Rapaport; Robert David; Denis Dochain; Jérôme Harmand; Thibault Nidelet
Journal:  Foods       Date:  2022-06-08
  1 in total

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