Literature DB >> 21511143

Exploring the lag phase and growth initiation of a yeast culture by means of an individual-based model.

Marta Ginovart1, Clara Prats, Xavier Portell, Moises Silbert.   

Abstract

The performance of fermentation processes is greatly influenced by the size and quality of inocula. The characterization of the replicative age is decided by the number of birth scars each yeast exhibits on its cellular membrane. Yeast ageing and inoculum size are factors that affect industrial fermentation, particularly those processes in which the yeast cells are reused such as the production of beer. This process reuses yeast cropped at the end of one fermentation in the following one, in a process called "serial repitching". The aim of this study was to explore the effects of inoculum size and ageing on the first stages of the dynamics of yeast population growth. However, only Individual-based Models (IbMs) allow the study of small, well-characterized, microbial inocula. We used INDISIM-YEAST, based on the generic IbM simulator INDISIM, to carry out these studies. Several simulations were performed to analyze the effect of the inoculum size and genealogical age of the cells that made it up on the lag phase, first division time and specific growth rate. The shortest lag phase and time to the first division were obtained with largest inocula and with the youngest inoculated parent cells.
Copyright © 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 21511143     DOI: 10.1016/j.fm.2010.05.004

Source DB:  PubMed          Journal:  Food Microbiol        ISSN: 0740-0020            Impact factor:   5.516


  3 in total

1.  Analysis of the effect of inoculum characteristics on the first stages of a growing yeast population in beer fermentations by means of an individual-based model.

Authors:  M Ginovart; C Prats; X Portell; M Silbert
Journal:  J Ind Microbiol Biotechnol       Date:  2010-09-03       Impact factor: 3.346

2.  Conversion of yellow wine lees into high-protein yeast culture by solid-state fermentation.

Authors:  Yuanliang Hu; Lina Pan; Yaohao Dun; Nan Peng; Yunxiang Liang; Shumiao Zhao
Journal:  Biotechnol Biotechnol Equip       Date:  2014-10-22       Impact factor: 1.632

3.  Digital Image Analysis of Yeast Single Cells Growing in Two Different Oxygen Concentrations to Analyze the Population Growth and to Assist Individual-Based Modeling.

Authors:  Marta Ginovart; Rosa Carbó; Mónica Blanco; Xavier Portell
Journal:  Front Microbiol       Date:  2018-01-04       Impact factor: 5.640

  3 in total

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