Real time and in situ Near-Infrared spectroscopy (Nirs) for quantitative monitoring of biomass, glucose, ethanol and glycerine concentrations in an alcoholic fermentation

Detalhes bibliográficos
Autor(a) principal: Santos, Everaldo Silvino dos
Data de Publicação: 2017
Outros Autores: Nascimento, Ruthinéia Jéssica Alves do, Macedo, Gorete Ribeiro de, Oliveira, Jackson Araújo de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRN
Texto Completo: https://repositorio.ufrn.br/handle/123456789/32313
Resumo: This study investigates the application of NIR spectroscopy for real-time monitoring of process parameters in alcoholic fermentations. For this purpose, fermentation batches using Saccharomyces cerevisiae were carried out and monitored in situ by an immersed NIRS probe. Samples were collected throughout the fermentations, and concentrations of biomass, glucose, ethanol and glycerin were analyzed by reference methods and multivariate data analyses such as PCA and PLSR. PCA was used to investigate data variability and to select samples for calibration and for external validation sets. A PLSR model for biomass yielded R2 and RMSEP values of 0.99 and 0.276 g.L-1, respectively. For glucose, the carbon source, the PLSR model yielded an R2 of 0.95 and an RMSEP of 7.14 g.L-1. The PLSR model for ethanol was characterized by an R2 of 0.95 and an RMSEP of 0.06 g.L-1. For glycerin, a highly accurate PLSR model with an R2 of 0.98 and an RMSEP of 0.116 g.L-1 was obtained. These results indicate that an in situ NIRS probe is suitable for real-time monitoring of important parameters in alcoholic fermentations
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spelling Santos, Everaldo Silvino dosNascimento, Ruthinéia Jéssica Alves doMacedo, Gorete Ribeiro deOliveira, Jackson Araújo de2021-04-26T13:50:08Z2021-04-26T13:50:08Z2017Nascimento, R. J. A. ; Macedo, Gorete R. ; SANTOS, E. S. ; OLIVEIRA, J. A. . Real time and in situ Near-Infrared Spectroscopy (Nirs) for Quantitative Monitoring of Biomass, Glucose, Ethanol and Glycerine concentrations in an alcoholic fermentation. Brazilian Journal of Chemical Engineering, v. 34, p. 459-468, 2017. Disponível em: https://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322017000200459&lng=en&tlng=en Acesso em 25 mar. 2021. https://doi.org/10.1590/0104-6632.20170342s201503470104-66321678-4383https://repositorio.ufrn.br/handle/123456789/3231310.1590/0104-6632.20170342s20150347Brazilian Journal of Chemical EngineeringAttribution 3.0 Brazilhttp://creativecommons.org/licenses/by/3.0/br/info:eu-repo/semantics/openAccessNear-infrared spectroscopyMonitoringAlcoholic fermentationReal time and in situ Near-Infrared spectroscopy (Nirs) for quantitative monitoring of biomass, glucose, ethanol and glycerine concentrations in an alcoholic fermentationinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleThis study investigates the application of NIR spectroscopy for real-time monitoring of process parameters in alcoholic fermentations. For this purpose, fermentation batches using Saccharomyces cerevisiae were carried out and monitored in situ by an immersed NIRS probe. Samples were collected throughout the fermentations, and concentrations of biomass, glucose, ethanol and glycerin were analyzed by reference methods and multivariate data analyses such as PCA and PLSR. PCA was used to investigate data variability and to select samples for calibration and for external validation sets. A PLSR model for biomass yielded R2 and RMSEP values of 0.99 and 0.276 g.L-1, respectively. For glucose, the carbon source, the PLSR model yielded an R2 of 0.95 and an RMSEP of 7.14 g.L-1. The PLSR model for ethanol was characterized by an R2 of 0.95 and an RMSEP of 0.06 g.L-1. For glycerin, a highly accurate PLSR model with an R2 of 0.98 and an RMSEP of 0.116 g.L-1 was obtained. These results indicate that an in situ NIRS probe is suitable for real-time monitoring of important parameters in alcoholic fermentationsengreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNORIGINALRealTimeAndInSitu_Santos_2017.pdfRealTimeAndInSitu_Santos_2017.pdfapplication/pdf1074431https://repositorio.ufrn.br/bitstream/123456789/32313/1/RealTimeAndInSitu_Santos_2017.pdf9a3f02033242a3fdf6c3360adfcdf6deMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8914https://repositorio.ufrn.br/bitstream/123456789/32313/2/license_rdf4d2950bda3d176f570a9f8b328dfbbefMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81484https://repositorio.ufrn.br/bitstream/123456789/32313/3/license.txte9597aa2854d128fd968be5edc8a28d9MD53TEXTRealTimeAndInSitu_Santos_2017.pdf.txtRealTimeAndInSitu_Santos_2017.pdf.txtExtracted texttext/plain36949https://repositorio.ufrn.br/bitstream/123456789/32313/4/RealTimeAndInSitu_Santos_2017.pdf.txt435b5b734bfa84e20af6da1dffe1ff3aMD54THUMBNAILRealTimeAndInSitu_Santos_2017.pdf.jpgRealTimeAndInSitu_Santos_2017.pdf.jpgGenerated Thumbnailimage/jpeg1664https://repositorio.ufrn.br/bitstream/123456789/32313/5/RealTimeAndInSitu_Santos_2017.pdf.jpg3abcb773de72e8af39060d9a5f757d9fMD55123456789/323132021-05-02 08:35:06.488oai:https://repositorio.ufrn.br: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Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2021-05-02T11:35:06Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false
dc.title.pt_BR.fl_str_mv Real time and in situ Near-Infrared spectroscopy (Nirs) for quantitative monitoring of biomass, glucose, ethanol and glycerine concentrations in an alcoholic fermentation
title Real time and in situ Near-Infrared spectroscopy (Nirs) for quantitative monitoring of biomass, glucose, ethanol and glycerine concentrations in an alcoholic fermentation
spellingShingle Real time and in situ Near-Infrared spectroscopy (Nirs) for quantitative monitoring of biomass, glucose, ethanol and glycerine concentrations in an alcoholic fermentation
Santos, Everaldo Silvino dos
Near-infrared spectroscopy
Monitoring
Alcoholic fermentation
title_short Real time and in situ Near-Infrared spectroscopy (Nirs) for quantitative monitoring of biomass, glucose, ethanol and glycerine concentrations in an alcoholic fermentation
title_full Real time and in situ Near-Infrared spectroscopy (Nirs) for quantitative monitoring of biomass, glucose, ethanol and glycerine concentrations in an alcoholic fermentation
title_fullStr Real time and in situ Near-Infrared spectroscopy (Nirs) for quantitative monitoring of biomass, glucose, ethanol and glycerine concentrations in an alcoholic fermentation
title_full_unstemmed Real time and in situ Near-Infrared spectroscopy (Nirs) for quantitative monitoring of biomass, glucose, ethanol and glycerine concentrations in an alcoholic fermentation
title_sort Real time and in situ Near-Infrared spectroscopy (Nirs) for quantitative monitoring of biomass, glucose, ethanol and glycerine concentrations in an alcoholic fermentation
author Santos, Everaldo Silvino dos
author_facet Santos, Everaldo Silvino dos
Nascimento, Ruthinéia Jéssica Alves do
Macedo, Gorete Ribeiro de
Oliveira, Jackson Araújo de
author_role author
author2 Nascimento, Ruthinéia Jéssica Alves do
Macedo, Gorete Ribeiro de
Oliveira, Jackson Araújo de
author2_role author
author
author
dc.contributor.author.fl_str_mv Santos, Everaldo Silvino dos
Nascimento, Ruthinéia Jéssica Alves do
Macedo, Gorete Ribeiro de
Oliveira, Jackson Araújo de
dc.subject.por.fl_str_mv Near-infrared spectroscopy
Monitoring
Alcoholic fermentation
topic Near-infrared spectroscopy
Monitoring
Alcoholic fermentation
description This study investigates the application of NIR spectroscopy for real-time monitoring of process parameters in alcoholic fermentations. For this purpose, fermentation batches using Saccharomyces cerevisiae were carried out and monitored in situ by an immersed NIRS probe. Samples were collected throughout the fermentations, and concentrations of biomass, glucose, ethanol and glycerin were analyzed by reference methods and multivariate data analyses such as PCA and PLSR. PCA was used to investigate data variability and to select samples for calibration and for external validation sets. A PLSR model for biomass yielded R2 and RMSEP values of 0.99 and 0.276 g.L-1, respectively. For glucose, the carbon source, the PLSR model yielded an R2 of 0.95 and an RMSEP of 7.14 g.L-1. The PLSR model for ethanol was characterized by an R2 of 0.95 and an RMSEP of 0.06 g.L-1. For glycerin, a highly accurate PLSR model with an R2 of 0.98 and an RMSEP of 0.116 g.L-1 was obtained. These results indicate that an in situ NIRS probe is suitable for real-time monitoring of important parameters in alcoholic fermentations
publishDate 2017
dc.date.issued.fl_str_mv 2017
dc.date.accessioned.fl_str_mv 2021-04-26T13:50:08Z
dc.date.available.fl_str_mv 2021-04-26T13:50:08Z
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.citation.fl_str_mv Nascimento, R. J. A. ; Macedo, Gorete R. ; SANTOS, E. S. ; OLIVEIRA, J. A. . Real time and in situ Near-Infrared Spectroscopy (Nirs) for Quantitative Monitoring of Biomass, Glucose, Ethanol and Glycerine concentrations in an alcoholic fermentation. Brazilian Journal of Chemical Engineering, v. 34, p. 459-468, 2017. Disponível em: https://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322017000200459&lng=en&tlng=en Acesso em 25 mar. 2021. https://doi.org/10.1590/0104-6632.20170342s20150347
dc.identifier.uri.fl_str_mv https://repositorio.ufrn.br/handle/123456789/32313
dc.identifier.issn.none.fl_str_mv 0104-6632
1678-4383
dc.identifier.doi.none.fl_str_mv 10.1590/0104-6632.20170342s20150347
identifier_str_mv Nascimento, R. J. A. ; Macedo, Gorete R. ; SANTOS, E. S. ; OLIVEIRA, J. A. . Real time and in situ Near-Infrared Spectroscopy (Nirs) for Quantitative Monitoring of Biomass, Glucose, Ethanol and Glycerine concentrations in an alcoholic fermentation. Brazilian Journal of Chemical Engineering, v. 34, p. 459-468, 2017. Disponível em: https://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322017000200459&lng=en&tlng=en Acesso em 25 mar. 2021. https://doi.org/10.1590/0104-6632.20170342s20150347
0104-6632
1678-4383
10.1590/0104-6632.20170342s20150347
url https://repositorio.ufrn.br/handle/123456789/32313
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dc.rights.driver.fl_str_mv Attribution 3.0 Brazil
http://creativecommons.org/licenses/by/3.0/br/
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rights_invalid_str_mv Attribution 3.0 Brazil
http://creativecommons.org/licenses/by/3.0/br/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Brazilian Journal of Chemical Engineering
publisher.none.fl_str_mv Brazilian Journal of Chemical Engineering
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