Statistical prediction of interactions between low concentrations of inhibitors on yeast cells responses added to the SD-medium at low pH values
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1186/s13068-019-1453-4 http://hdl.handle.net/11449/189120 |
Resumo: | Background: In the present work, the main inhibitors of the yeast cells (vanillin, furfural, formic, and levulinic acid) were generated by pretreatments or hydrolysis (sulfuric acid or enzymes) to convert reducing sugars into ethanol. Inhibitors were added at increasing concentrations to the SD-medium containing yeast extract while negative effects on yeast cells were observed. Statistical analyses were applied to predict and interpret results related to biomass production. Results: Inhibitors affected productivities and yields of biomass and ethanol when added to SD-medium. Based on the 23 full-central-composite design, predicted and observed values of ethanol and biomass were obtained in presence of the major inhibitors, which were acetic acid, formic acid, and levulinic acids. Increases in biomass and ethanol production are described in the Response surface graphs (RSM graphs) that resulted from multiple interactions between inhibitors. Positive interactions between the inhibitors occurred at low concentrations and pH values. The results were experimentally validated. Conclusions: Statistical analysis is an extremely useful tool for predicting data during process monitoring, while re-adjustments of conditions can be performed, whenever necessary. In addition, the development of new strains of yeast with high tolerance to biomass inhibitors will have a major impact on the production of second-generation ethanol. Increases in fermentation activity of the yeast Saccharomyces cerevisiae in a mixture containing low concentrations of inhibitors were observed. |
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Statistical prediction of interactions between low concentrations of inhibitors on yeast cells responses added to the SD-medium at low pH valuesBiomass inhibitorsFactorial designsInteractions between inhibitorsResponse optimizerRMS analysisSaccharomyces cerevisiaeBackground: In the present work, the main inhibitors of the yeast cells (vanillin, furfural, formic, and levulinic acid) were generated by pretreatments or hydrolysis (sulfuric acid or enzymes) to convert reducing sugars into ethanol. Inhibitors were added at increasing concentrations to the SD-medium containing yeast extract while negative effects on yeast cells were observed. Statistical analyses were applied to predict and interpret results related to biomass production. Results: Inhibitors affected productivities and yields of biomass and ethanol when added to SD-medium. Based on the 23 full-central-composite design, predicted and observed values of ethanol and biomass were obtained in presence of the major inhibitors, which were acetic acid, formic acid, and levulinic acids. Increases in biomass and ethanol production are described in the Response surface graphs (RSM graphs) that resulted from multiple interactions between inhibitors. Positive interactions between the inhibitors occurred at low concentrations and pH values. The results were experimentally validated. Conclusions: Statistical analysis is an extremely useful tool for predicting data during process monitoring, while re-adjustments of conditions can be performed, whenever necessary. In addition, the development of new strains of yeast with high tolerance to biomass inhibitors will have a major impact on the production of second-generation ethanol. Increases in fermentation activity of the yeast Saccharomyces cerevisiae in a mixture containing low concentrations of inhibitors were observed.Institute of Research in Bioenergy (IPBEN) Institute of Chemistry São Paulo State University (UNESP), R. Prof. Francisco Degni, 55Dept Analytical Chemistry Institute of Chemistry State University of São Paulo Júlio de Mesquita Filho-UNESP, R. Professor Francisco Degni, 55Institute of Research in Bioenergy (IPBEN) Institute of Chemistry São Paulo State University (UNESP), R. Prof. Francisco Degni, 55Dept Analytical Chemistry Institute of Chemistry State University of São Paulo Júlio de Mesquita Filho-UNESP, R. Professor Francisco Degni, 55Universidade Estadual Paulista (Unesp)Laluce, Cecilia [UNESP]Igbojionu, Longinus I. [UNESP]Silva, José L. [UNESP]Ribeiro, Clóvis A. [UNESP]2019-10-06T16:30:26Z2019-10-06T16:30:26Z2019-05-09info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1186/s13068-019-1453-4Biotechnology for Biofuels, v. 12, n. 1, 2019.1754-6834http://hdl.handle.net/11449/18912010.1186/s13068-019-1453-42-s2.0-8506567730884983108918100820000-0002-7984-5908Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengBiotechnology for Biofuelsinfo:eu-repo/semantics/openAccess2022-03-03T12:26:15Zoai:repositorio.unesp.br:11449/189120Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:01:43.804813Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Statistical prediction of interactions between low concentrations of inhibitors on yeast cells responses added to the SD-medium at low pH values |
title |
Statistical prediction of interactions between low concentrations of inhibitors on yeast cells responses added to the SD-medium at low pH values |
spellingShingle |
Statistical prediction of interactions between low concentrations of inhibitors on yeast cells responses added to the SD-medium at low pH values Laluce, Cecilia [UNESP] Biomass inhibitors Factorial designs Interactions between inhibitors Response optimizer RMS analysis Saccharomyces cerevisiae |
title_short |
Statistical prediction of interactions between low concentrations of inhibitors on yeast cells responses added to the SD-medium at low pH values |
title_full |
Statistical prediction of interactions between low concentrations of inhibitors on yeast cells responses added to the SD-medium at low pH values |
title_fullStr |
Statistical prediction of interactions between low concentrations of inhibitors on yeast cells responses added to the SD-medium at low pH values |
title_full_unstemmed |
Statistical prediction of interactions between low concentrations of inhibitors on yeast cells responses added to the SD-medium at low pH values |
title_sort |
Statistical prediction of interactions between low concentrations of inhibitors on yeast cells responses added to the SD-medium at low pH values |
author |
Laluce, Cecilia [UNESP] |
author_facet |
Laluce, Cecilia [UNESP] Igbojionu, Longinus I. [UNESP] Silva, José L. [UNESP] Ribeiro, Clóvis A. [UNESP] |
author_role |
author |
author2 |
Igbojionu, Longinus I. [UNESP] Silva, José L. [UNESP] Ribeiro, Clóvis A. [UNESP] |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Laluce, Cecilia [UNESP] Igbojionu, Longinus I. [UNESP] Silva, José L. [UNESP] Ribeiro, Clóvis A. [UNESP] |
dc.subject.por.fl_str_mv |
Biomass inhibitors Factorial designs Interactions between inhibitors Response optimizer RMS analysis Saccharomyces cerevisiae |
topic |
Biomass inhibitors Factorial designs Interactions between inhibitors Response optimizer RMS analysis Saccharomyces cerevisiae |
description |
Background: In the present work, the main inhibitors of the yeast cells (vanillin, furfural, formic, and levulinic acid) were generated by pretreatments or hydrolysis (sulfuric acid or enzymes) to convert reducing sugars into ethanol. Inhibitors were added at increasing concentrations to the SD-medium containing yeast extract while negative effects on yeast cells were observed. Statistical analyses were applied to predict and interpret results related to biomass production. Results: Inhibitors affected productivities and yields of biomass and ethanol when added to SD-medium. Based on the 23 full-central-composite design, predicted and observed values of ethanol and biomass were obtained in presence of the major inhibitors, which were acetic acid, formic acid, and levulinic acids. Increases in biomass and ethanol production are described in the Response surface graphs (RSM graphs) that resulted from multiple interactions between inhibitors. Positive interactions between the inhibitors occurred at low concentrations and pH values. The results were experimentally validated. Conclusions: Statistical analysis is an extremely useful tool for predicting data during process monitoring, while re-adjustments of conditions can be performed, whenever necessary. In addition, the development of new strains of yeast with high tolerance to biomass inhibitors will have a major impact on the production of second-generation ethanol. Increases in fermentation activity of the yeast Saccharomyces cerevisiae in a mixture containing low concentrations of inhibitors were observed. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-10-06T16:30:26Z 2019-10-06T16:30:26Z 2019-05-09 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1186/s13068-019-1453-4 Biotechnology for Biofuels, v. 12, n. 1, 2019. 1754-6834 http://hdl.handle.net/11449/189120 10.1186/s13068-019-1453-4 2-s2.0-85065677308 8498310891810082 0000-0002-7984-5908 |
url |
http://dx.doi.org/10.1186/s13068-019-1453-4 http://hdl.handle.net/11449/189120 |
identifier_str_mv |
Biotechnology for Biofuels, v. 12, n. 1, 2019. 1754-6834 10.1186/s13068-019-1453-4 2-s2.0-85065677308 8498310891810082 0000-0002-7984-5908 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Biotechnology for Biofuels |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128741848645632 |