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

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 throug...

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Principais autores: Santos, Everaldo Silvino dos, Nascimento, Ruthinéia Jéssica Alves do, Macedo, Gorete Ribeiro de, Oliveira, Jackson Araújo de
Formato: article
Idioma:English
Publicado em: Brazilian Journal of Chemical Engineering
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Endereço do item:https://repositorio.ufrn.br/handle/123456789/32313
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spelling ri-123456789-323132021-05-02T11:35:06Z 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 Nascimento, Ruthinéia Jéssica Alves do Macedo, Gorete Ribeiro de Oliveira, Jackson Araújo de Near-infrared spectroscopy Monitoring Alcoholic fermentation 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 2021-04-26T13:50:08Z 2021-04-26T13:50:08Z 2017 article 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 https://repositorio.ufrn.br/handle/123456789/32313 10.1590/0104-6632.20170342s20150347 en Attribution 3.0 Brazil http://creativecommons.org/licenses/by/3.0/br/ application/pdf Brazilian Journal of Chemical Engineering
institution Repositório Institucional
collection RI - UFRN
language English
topic Near-infrared spectroscopy
Monitoring
Alcoholic fermentation
spellingShingle Near-infrared spectroscopy
Monitoring
Alcoholic fermentation
Santos, Everaldo Silvino dos
Nascimento, Ruthinéia Jéssica Alves do
Macedo, Gorete Ribeiro de
Oliveira, Jackson Araújo de
Real time and in situ Near-Infrared spectroscopy (Nirs) for quantitative monitoring of biomass, glucose, ethanol and glycerine concentrations in an 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
format article
author Santos, Everaldo Silvino dos
Nascimento, Ruthinéia Jéssica Alves do
Macedo, Gorete Ribeiro de
Oliveira, Jackson Araújo de
author_facet Santos, Everaldo Silvino dos
Nascimento, Ruthinéia Jéssica Alves do
Macedo, Gorete Ribeiro de
Oliveira, Jackson Araújo de
author_sort Santos, Everaldo Silvino dos
title Real time and in situ Near-Infrared spectroscopy (Nirs) for quantitative monitoring of biomass, glucose, ethanol and glycerine concentrations in an 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
publisher Brazilian Journal of Chemical Engineering
publishDate 2021
url https://repositorio.ufrn.br/handle/123456789/32313
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