Literature DB >> 24291186

Probabilistic model for the spoilage wine yeast Dekkera bruxellensis as a function of pH, ethanol and free SO2 using time as a dummy variable.

M E Sturm1, F N Arroyo-López2, A Garrido-Fernández3, A Querol4, L A Mercado1, M L Ramirez5, M Combina6.   

Abstract

The present study uses a probabilistic model to determine the growth/no growth interfaces of the spoilage wine yeast Dekkera bruxellensis CH29 as a function of ethanol (10-15%, v/v), pH (3.4-4.0) and free SO2 (0-50 mg/l) using time (7, 14, 21 and 30 days) as a dummy variable. The model, built with a total of 756 growth/no growth data obtained in a simile wine medium, could have application in the winery industry to determine the wine conditions needed to inhibit the growth of this species. Thereby, at 12.5% of ethanol and pH 3.7 for a growth probability of 0.01, it is necessary to add 30 mg/l of free SO2 to inhibit yeast growth for 7 days. However, the concentration of free SO2 should be raised to 48 mg/l to achieve a probability of no growth of 0.99 for 30 days under the same wine conditions. Other combinations of environmental variables can also be determined using the mathematical model depending on the needs of the industry.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Growth/no growth boundaries; Logistic model; Wine spoilage

Mesh:

Substances:

Year:  2013        PMID: 24291186     DOI: 10.1016/j.ijfoodmicro.2013.10.019

Source DB:  PubMed          Journal:  Int J Food Microbiol        ISSN: 0168-1605            Impact factor:   5.277


  6 in total

Review 1.  Brettanomyces bruxellensis yeasts: impact on wine and winemaking.

Authors:  Monica Agnolucci; Antonio Tirelli; Luca Cocolin; Annita Toffanin
Journal:  World J Microbiol Biotechnol       Date:  2017-09-21       Impact factor: 3.312

2.  Effect of Ethanol, Sulfur Dioxide and Glucose on the Growth of Wine Spoilage Yeasts Using Response Surface Methodology.

Authors:  Mahesh Chandra; Inês Oro; Suzana Ferreira-Dias; Manuel Malfeito-Ferreira
Journal:  PLoS One       Date:  2015-06-24       Impact factor: 3.240

3.  In silico Logistic Model for Table Olive Related Microorganisms As a Function of Sodium Metabisulphite, Cinnamaldehyde, pH, and Type of Acidifying Agent.

Authors:  Verónica Romero-Gil; Antonio Garrido-Fernández; Francisco N Arroyo-López
Journal:  Front Microbiol       Date:  2016-08-31       Impact factor: 5.640

4.  A Response Surface Methodology Approach to Investigate the Effect of Sulfur Dioxide, pH, and Ethanol on DbCD and DbVPR Gene Expression and on the Volatile Phenol Production in Dekkera/Brettanomyces bruxellensis CBS2499.

Authors:  Federica Valdetara; Daniela Fracassetti; Alessia Campanello; Carlo Costa; Roberto Foschino; Concetta Compagno; Ileana Vigentini
Journal:  Front Microbiol       Date:  2017-09-11       Impact factor: 5.640

5.  Bacteriophages as an Up-and-Coming Alternative to the Use of Sulfur Dioxide in Winemaking.

Authors:  Gustavo Cordero-Bueso; Javier Moraga; María Ríos-Carrasco; Marina Ruiz-Muñoz; Jesús Manuel Cantoral
Journal:  Front Microbiol       Date:  2020-01-23       Impact factor: 5.640

6.  Wine Spoilage Control: Impact of Saccharomycin on Brettanomyces bruxellensis and Its Conjugated Effect with Sulfur Dioxide.

Authors:  Patrícia Branco; Rute Coutinho; Manuel Malfeito-Ferreira; Catarina Prista; Helena Albergaria
Journal:  Microorganisms       Date:  2021-12-07
  6 in total

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