Identification of Saccharomyces cerevisiae strains for alcoholic fermentation by discriminant factorial analysis on electronic nose signals

An electronic nose (E-nose) coupled to gas chromatography was tested to monitor alcoholic fermentation by Saccharomyces cerevisiae ICV-K1 and Saccharomyces cerevisiae T306, two strains well-known for their use in oenology. The biomass and ethanol concentrations and conductance changes were measured...

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Autores principales:	Calderon-Santoyo,Montserrat, Chalier,Pascale, Chevalier-Lucia,Dominique, Ghommidh,Charles, Ragazzo-Sanchez,Juan Arturo
Lenguaje:	English
Publicado:	Pontificia Universidad Católica de Valparaíso 2010
Materias:	alcoholic fermentation discrimination electronic nose gas sensor yeasts
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-34582010000400008
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spelling	oai:scielo:S0717-345820100004000082010-08-04Identification of Saccharomyces cerevisiae strains for alcoholic fermentation by discriminant factorial analysis on electronic nose signalsCalderon-Santoyo,MontserratChalier,PascaleChevalier-Lucia,DominiqueGhommidh,CharlesRagazzo-Sanchez,Juan Arturo alcoholic fermentation discrimination electronic nose gas sensor yeasts An electronic nose (E-nose) coupled to gas chromatography was tested to monitor alcoholic fermentation by Saccharomyces cerevisiae ICV-K1 and Saccharomyces cerevisiae T306, two strains well-known for their use in oenology. The biomass and ethanol concentrations and conductance changes were measured during cultivations and allowed to observe the standard growth phases for both yeast strains. The two strains were characterized by a very similar tendency in biomass or ethanol production during the fermentation. E-nose was able to establish a kinetic of the production of aroma compounds production and which was then easy to associate with the fermentation phases. Principal Component Analysis (PCA) showed that the data collected by E-nose during the fermentation mainly contained cultivation course information. Discriminant factorial analysis (DFA) was able to clearly identify differences between the two strains using the four main principal components of PCA as input data. Nevertheless, the electronic nose responses being mainly influenced by cultivation course, a specific data treatment limiting the time influence on data was carried out and permitted to achieve an overall performance of 83.5%.info:eu-repo/semantics/openAccessPontificia Universidad Católica de ValparaísoElectronic Journal of Biotechnology v.13 n.4 20102010-07-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-34582010000400008en
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	alcoholic fermentation discrimination electronic nose gas sensor yeasts
spellingShingle	alcoholic fermentation discrimination electronic nose gas sensor yeasts Calderon-Santoyo,Montserrat Chalier,Pascale Chevalier-Lucia,Dominique Ghommidh,Charles Ragazzo-Sanchez,Juan Arturo Identification of Saccharomyces cerevisiae strains for alcoholic fermentation by discriminant factorial analysis on electronic nose signals
description	An electronic nose (E-nose) coupled to gas chromatography was tested to monitor alcoholic fermentation by Saccharomyces cerevisiae ICV-K1 and Saccharomyces cerevisiae T306, two strains well-known for their use in oenology. The biomass and ethanol concentrations and conductance changes were measured during cultivations and allowed to observe the standard growth phases for both yeast strains. The two strains were characterized by a very similar tendency in biomass or ethanol production during the fermentation. E-nose was able to establish a kinetic of the production of aroma compounds production and which was then easy to associate with the fermentation phases. Principal Component Analysis (PCA) showed that the data collected by E-nose during the fermentation mainly contained cultivation course information. Discriminant factorial analysis (DFA) was able to clearly identify differences between the two strains using the four main principal components of PCA as input data. Nevertheless, the electronic nose responses being mainly influenced by cultivation course, a specific data treatment limiting the time influence on data was carried out and permitted to achieve an overall performance of 83.5%.
author	Calderon-Santoyo,Montserrat Chalier,Pascale Chevalier-Lucia,Dominique Ghommidh,Charles Ragazzo-Sanchez,Juan Arturo
author_facet	Calderon-Santoyo,Montserrat Chalier,Pascale Chevalier-Lucia,Dominique Ghommidh,Charles Ragazzo-Sanchez,Juan Arturo
author_sort	Calderon-Santoyo,Montserrat
title	Identification of Saccharomyces cerevisiae strains for alcoholic fermentation by discriminant factorial analysis on electronic nose signals
title_short	Identification of Saccharomyces cerevisiae strains for alcoholic fermentation by discriminant factorial analysis on electronic nose signals
title_full	Identification of Saccharomyces cerevisiae strains for alcoholic fermentation by discriminant factorial analysis on electronic nose signals
title_fullStr	Identification of Saccharomyces cerevisiae strains for alcoholic fermentation by discriminant factorial analysis on electronic nose signals
title_full_unstemmed	Identification of Saccharomyces cerevisiae strains for alcoholic fermentation by discriminant factorial analysis on electronic nose signals
title_sort	identification of saccharomyces cerevisiae strains for alcoholic fermentation by discriminant factorial analysis on electronic nose signals
publisher	Pontificia Universidad Católica de Valparaíso
publishDate	2010
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-34582010000400008
work_keys_str_mv	AT calderonsantoyomontserrat identificationofsaccharomycescerevisiaestrainsforalcoholicfermentationbydiscriminantfactorialanalysisonelectronicnosesignals AT chalierpascale identificationofsaccharomycescerevisiaestrainsforalcoholicfermentationbydiscriminantfactorialanalysisonelectronicnosesignals AT chevalierluciadominique identificationofsaccharomycescerevisiaestrainsforalcoholicfermentationbydiscriminantfactorialanalysisonelectronicnosesignals AT ghommidhcharles identificationofsaccharomycescerevisiaestrainsforalcoholicfermentationbydiscriminantfactorialanalysisonelectronicnosesignals AT ragazzosanchezjuanarturo identificationofsaccharomycescerevisiaestrainsforalcoholicfermentationbydiscriminantfactorialanalysisonelectronicnosesignals
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Identification of Saccharomyces cerevisiae strains for alcoholic fermentation by discriminant factorial analysis on electronic nose signals

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