NIR SPECTROSCOPY APPLIED TO THE CHARACTERIZATION AND SELECTION OF PRE-TREATED MATERIALS FROM MULTIPLE LIGNOCELLULOSIC RESOURCES FOR BIOETHANOL PRODUCTION

Lignocellulosic biomass (LB) has been recognized as potential raw for bioethanol production. To facility LB bioconversion a pretreatment is applied, followed by simultaneous or separated saccharification and fermentation (SSF or SHF, respectively) steps. Characterization of pretreated materials, nee...

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Autores principales:	CASTILLO,ROSARIO DEL P, PARRA,CAROLINA, TRONCOSO,EDUARDO, FRANCO,HERIBERTO, PEÑA,SAMUEL, FREER,JUANITA
Lenguaje:	English
Publicado:	Sociedad Chilena de Química 2014
Materias:	NIBS bioethanol simultaneous saccharification and fermentation (SSF) lignocellulosic biomass
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-97072014000100022
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spelling	oai:scielo:S0717-970720140001000222015-11-12NIR SPECTROSCOPY APPLIED TO THE CHARACTERIZATION AND SELECTION OF PRE-TREATED MATERIALS FROM MULTIPLE LIGNOCELLULOSIC RESOURCES FOR BIOETHANOL PRODUCTIONCASTILLO,ROSARIO DEL PPARRA,CAROLINATRONCOSO,EDUARDOFRANCO,HERIBERTOPEÑA,SAMUELFREER,JUANITA NIBS bioethanol simultaneous saccharification and fermentation (SSF) lignocellulosic biomass Lignocellulosic biomass (LB) has been recognized as potential raw for bioethanol production. To facility LB bioconversion a pretreatment is applied, followed by simultaneous or separated saccharification and fermentation (SSF or SHF, respectively) steps. Characterization of pretreated materials, needed to evaluate their ethanol yields, involves laborious and destructive methodologies. Therefore, saccharification is also time consuming and expensive step and some pretreated samples have not suitable characteristics to obtain high ethanol yields. Since bioethanol production aims to be a multivariable process respect to lignocellulosic resources, this work attempts to use NIR spectroscopy as alternative to wet chemical analysis to characterize samples from multiple pretreatments and lignocellulosic resources simultaneously and estimate their ethanol yield after a SSF process using multivariate calibration. Selection of suitable samples to obtain high ethanol yields using a classification method is also evaluated. Partial least squares (PLS) and discriminant partial least squares (PLS-DA) were used as calibration and classification techniques, respectively. Results showed ability of NIR spectroscopy to predict the chemical composition of samples and their ethanol yields, even if different lignocellulosic materials were used in the models, with low prediction errors and high correlation coefficients with reference methods (r>0,96) in PLS models and low misclassification rates (20- 30%) in classification models. Use of these models could facility the fast selection of high number of samples with suitable characteristics to obtain high ethanol yields and as predictive tool of these ethanol yields after a SSF process under controlled conditions.info:eu-repo/semantics/openAccessSociedad Chilena de QuímicaJournal of the Chilean Chemical Society v.59 n.1 20142014-03-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-97072014000100022en10.4067/S0717-97072014000100022
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	NIBS bioethanol simultaneous saccharification and fermentation (SSF) lignocellulosic biomass
spellingShingle	NIBS bioethanol simultaneous saccharification and fermentation (SSF) lignocellulosic biomass CASTILLO,ROSARIO DEL P PARRA,CAROLINA TRONCOSO,EDUARDO FRANCO,HERIBERTO PEÑA,SAMUEL FREER,JUANITA NIR SPECTROSCOPY APPLIED TO THE CHARACTERIZATION AND SELECTION OF PRE-TREATED MATERIALS FROM MULTIPLE LIGNOCELLULOSIC RESOURCES FOR BIOETHANOL PRODUCTION
description	Lignocellulosic biomass (LB) has been recognized as potential raw for bioethanol production. To facility LB bioconversion a pretreatment is applied, followed by simultaneous or separated saccharification and fermentation (SSF or SHF, respectively) steps. Characterization of pretreated materials, needed to evaluate their ethanol yields, involves laborious and destructive methodologies. Therefore, saccharification is also time consuming and expensive step and some pretreated samples have not suitable characteristics to obtain high ethanol yields. Since bioethanol production aims to be a multivariable process respect to lignocellulosic resources, this work attempts to use NIR spectroscopy as alternative to wet chemical analysis to characterize samples from multiple pretreatments and lignocellulosic resources simultaneously and estimate their ethanol yield after a SSF process using multivariate calibration. Selection of suitable samples to obtain high ethanol yields using a classification method is also evaluated. Partial least squares (PLS) and discriminant partial least squares (PLS-DA) were used as calibration and classification techniques, respectively. Results showed ability of NIR spectroscopy to predict the chemical composition of samples and their ethanol yields, even if different lignocellulosic materials were used in the models, with low prediction errors and high correlation coefficients with reference methods (r>0,96) in PLS models and low misclassification rates (20- 30%) in classification models. Use of these models could facility the fast selection of high number of samples with suitable characteristics to obtain high ethanol yields and as predictive tool of these ethanol yields after a SSF process under controlled conditions.
author	CASTILLO,ROSARIO DEL P PARRA,CAROLINA TRONCOSO,EDUARDO FRANCO,HERIBERTO PEÑA,SAMUEL FREER,JUANITA
author_facet	CASTILLO,ROSARIO DEL P PARRA,CAROLINA TRONCOSO,EDUARDO FRANCO,HERIBERTO PEÑA,SAMUEL FREER,JUANITA
author_sort	CASTILLO,ROSARIO DEL P
title	NIR SPECTROSCOPY APPLIED TO THE CHARACTERIZATION AND SELECTION OF PRE-TREATED MATERIALS FROM MULTIPLE LIGNOCELLULOSIC RESOURCES FOR BIOETHANOL PRODUCTION
title_short	NIR SPECTROSCOPY APPLIED TO THE CHARACTERIZATION AND SELECTION OF PRE-TREATED MATERIALS FROM MULTIPLE LIGNOCELLULOSIC RESOURCES FOR BIOETHANOL PRODUCTION
title_full	NIR SPECTROSCOPY APPLIED TO THE CHARACTERIZATION AND SELECTION OF PRE-TREATED MATERIALS FROM MULTIPLE LIGNOCELLULOSIC RESOURCES FOR BIOETHANOL PRODUCTION
title_fullStr	NIR SPECTROSCOPY APPLIED TO THE CHARACTERIZATION AND SELECTION OF PRE-TREATED MATERIALS FROM MULTIPLE LIGNOCELLULOSIC RESOURCES FOR BIOETHANOL PRODUCTION
title_full_unstemmed	NIR SPECTROSCOPY APPLIED TO THE CHARACTERIZATION AND SELECTION OF PRE-TREATED MATERIALS FROM MULTIPLE LIGNOCELLULOSIC RESOURCES FOR BIOETHANOL PRODUCTION
title_sort	nir spectroscopy applied to the characterization and selection of pre-treated materials from multiple lignocellulosic resources for bioethanol production
publisher	Sociedad Chilena de Química
publishDate	2014
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-97072014000100022
work_keys_str_mv	AT castillorosariodelp nirspectroscopyappliedtothecharacterizationandselectionofpretreatedmaterialsfrommultiplelignocellulosicresourcesforbioethanolproduction AT parracarolina nirspectroscopyappliedtothecharacterizationandselectionofpretreatedmaterialsfrommultiplelignocellulosicresourcesforbioethanolproduction AT troncosoeduardo nirspectroscopyappliedtothecharacterizationandselectionofpretreatedmaterialsfrommultiplelignocellulosicresourcesforbioethanolproduction AT francoheriberto nirspectroscopyappliedtothecharacterizationandselectionofpretreatedmaterialsfrommultiplelignocellulosicresourcesforbioethanolproduction AT penasamuel nirspectroscopyappliedtothecharacterizationandselectionofpretreatedmaterialsfrommultiplelignocellulosicresourcesforbioethanolproduction AT freerjuanita nirspectroscopyappliedtothecharacterizationandselectionofpretreatedmaterialsfrommultiplelignocellulosicresourcesforbioethanolproduction
_version_	1718445513440755712

NIR SPECTROSCOPY APPLIED TO THE CHARACTERIZATION AND SELECTION OF PRE-TREATED MATERIALS FROM MULTIPLE LIGNOCELLULOSIC RESOURCES FOR BIOETHANOL PRODUCTION

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