Literature DB >> 17616615

Temperature-dependent kinetic model for nitrogen-limited wine fermentations.

Matthew C Coleman1, Russell Fish, David E Block.   

Abstract

A physical and mathematical model for wine fermentation kinetics was adapted to include the influence of temperature, perhaps the most critical factor influencing fermentation kinetics. The model was based on flask-scale white wine fermentations at different temperatures (11 to 35 degrees C) and different initial concentrations of sugar (265 to 300 g/liter) and nitrogen (70 to 350 mg N/liter). The results show that fermentation temperature and inadequate levels of nitrogen will cause stuck or sluggish fermentations. Model parameters representing cell growth rate, sugar utilization rate, and the inactivation rate of cells in the presence of ethanol are highly temperature dependent. All other variables (yield coefficient of cell mass to utilized nitrogen, yield coefficient of ethanol to utilized sugar, Monod constant for nitrogen-limited growth, and Michaelis-Menten-type constant for sugar transport) were determined to vary insignificantly with temperature. The resulting mathematical model accurately predicts the observed wine fermentation kinetics with respect to different temperatures and different initial conditions, including data from fermentations not used for model development. This is the first wine fermentation model that accurately predicts a transition from sluggish to normal to stuck fermentations as temperature increases from 11 to 35 degrees C. Furthermore, this comprehensive model provides insight into combined effects of time, temperature, and ethanol concentration on yeast (Saccharomyces cerevisiae) activity and physiology.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17616615      PMCID: PMC2074923          DOI: 10.1128/AEM.00670-07

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


  7 in total

1.  Using historical data for bioprocess optimization: modeling wine characteristics using artificial neural networks and archived process information.

Authors:  S Vlassides; J G Ferrier; D E Block
Journal:  Biotechnol Bioeng       Date:  2001-04-05       Impact factor: 4.530

2.  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

3.  Modeling the effects of assimilable nitrogen and temperature on fermentation kinetics in enological conditions.

Authors:  S Malherbe; V Fromion; N Hilgert; J-M Sablayrolles
Journal:  Biotechnol Bioeng       Date:  2004-05-05       Impact factor: 4.530

4.  Development of a kinetic model for the alcoholic fermentation of must.

Authors:  I Caro; L Pérez; D Cantero
Journal:  Biotechnol Bioeng       Date:  1991-10-05       Impact factor: 4.530

Review 5.  The heat shock and ethanol stress responses of yeast exhibit extensive similarity and functional overlap.

Authors:  P W Piper
Journal:  FEMS Microbiol Lett       Date:  1995-12-15       Impact factor: 2.742

6.  Elasticity and phase behavior of DPPC membrane modulated by cholesterol, ergosterol, and ethanol.

Authors:  Kara J Tierney; David E Block; Marjorie L Longo
Journal:  Biophys J       Date:  2005-07-29       Impact factor: 4.033

7.  Temperature profiles of ethanol tolerance: Effects of ethanol on the minimum and the maximum temperatures for growth of the yeasts Saccharomyces cerevisiae and Kluyveromyces fragilis.

Authors:  I Sá-Correia; N Van Uden
Journal:  Biotechnol Bioeng       Date:  1983-06       Impact factor: 4.530

  7 in total
  14 in total

1.  Examining the role of membrane lipid composition in determining the ethanol tolerance of Saccharomyces cerevisiae.

Authors:  Clark M Henderson; David E Block
Journal:  Appl Environ Microbiol       Date:  2014-03-07       Impact factor: 4.792

2.  Ethanol production and maximum cell growth are highly correlated with membrane lipid composition during fermentation as determined by lipidomic analysis of 22 Saccharomyces cerevisiae strains.

Authors:  Clark M Henderson; Michelle Lozada-Contreras; Vladimir Jiranek; Marjorie L Longo; David E Block
Journal:  Appl Environ Microbiol       Date:  2012-10-12       Impact factor: 4.792

3.  Fermentation temperature modulates phosphatidylethanolamine and phosphatidylinositol levels in the cell membrane of Saccharomyces cerevisiae.

Authors:  Clark M Henderson; Wade F Zeno; Larry A Lerno; Marjorie L Longo; David E Block
Journal:  Appl Environ Microbiol       Date:  2013-06-28       Impact factor: 4.792

4.  Recurrent rearrangement during adaptive evolution in an interspecific yeast hybrid suggests a model for rapid introgression.

Authors:  Barbara Dunn; Terry Paulish; Alison Stanbery; Jeff Piotrowski; Gregory Koniges; Evgueny Kroll; Edward J Louis; Gianni Liti; Gavin Sherlock; Frank Rosenzweig
Journal:  PLoS Genet       Date:  2013-03-21       Impact factor: 5.917

5.  Saccharomyces cerevisiae FLO1 Gene Demonstrates Genetic Linkage to Increased Fermentation Rate at Low Temperatures.

Authors:  Rebecca C Deed; Bruno Fedrizzi; Richard C Gardner
Journal:  G3 (Bethesda)       Date:  2017-03-10       Impact factor: 3.154

Review 6.  Physiology, ecology and industrial applications of aroma formation in yeast.

Authors:  Maria C Dzialo; Rahel Park; Jan Steensels; Bart Lievens; Kevin J Verstrepen
Journal:  FEMS Microbiol Rev       Date:  2017-08-01       Impact factor: 16.408

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

Authors:  David Henriques; Eva Balsa-Canto
Journal:  Appl Environ Microbiol       Date:  2021-08-04       Impact factor: 4.792

8.  Mild Pretreatments to Increase Fructose Consumption in Saccharomyces cerevisiae Wine Yeast Strains.

Authors:  Hatice Aybuke Karaoglan; Filiz Ozcelik; Alida Musatti; Manuela Rollini
Journal:  Foods       Date:  2021-05-19

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

10.  Thermotolerant genes essential for survival at a critical high temperature in thermotolerant ethanologenic Zymomonas mobilis TISTR 548.

Authors:  Kannikar Charoensuk; Tomoko Sakurada; Amina Tokiyama; Masayuki Murata; Tomoyuki Kosaka; Pornthap Thanonkeo; Mamoru Yamada
Journal:  Biotechnol Biofuels       Date:  2017-08-24       Impact factor: 6.040

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.