Expeditious prediction of fiber content in sugar cane: An analytical possibility with LIBS and chemometrics

Detalhes bibliográficos
Autor(a) principal: Romera, João Paulo Rodrigues [UNESP]
Data de Publicação: 2016
Outros Autores: Barsanelli, Paulo Lopes [UNESP], Pereira, Fabíola Manhas Verbi [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
DOI: 10.1016/j.fuel.2015.11.029
Texto Completo: http://dx.doi.org/10.1016/j.fuel.2015.11.029
http://hdl.handle.net/11449/172222
Resumo: The development of a multivariate model for fiber content prediction in sugar cane has been investigated and can be offered as an alternative to the wet methods of analysis. The importance of fiber in bagasse of sugar cane is directly linked to the production of sugar and alcohol performances and to payment systems. The analytical method investigated here was the Laser-Induced Breakdown Spectroscopy (LIBS) combined with a Partial Least Squares (PLS) chemometric tool that can achieve the best model to predict fiber content in sugar cane. A total of 6287 spectra of raw samples of sugar cane bagasse was evaluated. The optimum conditions of operation of the equipment for the acquisition of the most sensitive LIBS signals were tested through Design of Experiments (DOE).
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spelling Expeditious prediction of fiber content in sugar cane: An analytical possibility with LIBS and chemometricsBioenergyChemometricsFiber contentLIBSSugar caneThe development of a multivariate model for fiber content prediction in sugar cane has been investigated and can be offered as an alternative to the wet methods of analysis. The importance of fiber in bagasse of sugar cane is directly linked to the production of sugar and alcohol performances and to payment systems. The analytical method investigated here was the Laser-Induced Breakdown Spectroscopy (LIBS) combined with a Partial Least Squares (PLS) chemometric tool that can achieve the best model to predict fiber content in sugar cane. A total of 6287 spectra of raw samples of sugar cane bagasse was evaluated. The optimum conditions of operation of the equipment for the acquisition of the most sensitive LIBS signals were tested through Design of Experiments (DOE).Departamento de Química Analítica Instituto de Química Universidade Estadual Paulista Júlio de Mesquita Filho (Unesp), Rua Professor Francisco Degni, 55Departamento de Química Analítica Instituto de Química Universidade Estadual Paulista Júlio de Mesquita Filho (Unesp), Rua Professor Francisco Degni, 55Universidade Estadual Paulista (Unesp)Romera, João Paulo Rodrigues [UNESP]Barsanelli, Paulo Lopes [UNESP]Pereira, Fabíola Manhas Verbi [UNESP]2018-12-11T16:59:14Z2018-12-11T16:59:14Z2016-02-15info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article473-476application/pdfhttp://dx.doi.org/10.1016/j.fuel.2015.11.029Fuel, v. 166, p. 473-476.0016-2361http://hdl.handle.net/11449/17222210.1016/j.fuel.2015.11.0292-s2.0-849475910692-s2.0-84947591069.pdf57044454736540240000-0002-8117-2108Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengFuel1,891info:eu-repo/semantics/openAccess2024-01-14T06:20:02Zoai:repositorio.unesp.br:11449/172222Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:56:08.551246Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Expeditious prediction of fiber content in sugar cane: An analytical possibility with LIBS and chemometrics
title Expeditious prediction of fiber content in sugar cane: An analytical possibility with LIBS and chemometrics
spellingShingle Expeditious prediction of fiber content in sugar cane: An analytical possibility with LIBS and chemometrics
Expeditious prediction of fiber content in sugar cane: An analytical possibility with LIBS and chemometrics
Romera, João Paulo Rodrigues [UNESP]
Bioenergy
Chemometrics
Fiber content
LIBS
Sugar cane
Romera, João Paulo Rodrigues [UNESP]
Bioenergy
Chemometrics
Fiber content
LIBS
Sugar cane
title_short Expeditious prediction of fiber content in sugar cane: An analytical possibility with LIBS and chemometrics
title_full Expeditious prediction of fiber content in sugar cane: An analytical possibility with LIBS and chemometrics
title_fullStr Expeditious prediction of fiber content in sugar cane: An analytical possibility with LIBS and chemometrics
Expeditious prediction of fiber content in sugar cane: An analytical possibility with LIBS and chemometrics
title_full_unstemmed Expeditious prediction of fiber content in sugar cane: An analytical possibility with LIBS and chemometrics
Expeditious prediction of fiber content in sugar cane: An analytical possibility with LIBS and chemometrics
title_sort Expeditious prediction of fiber content in sugar cane: An analytical possibility with LIBS and chemometrics
author Romera, João Paulo Rodrigues [UNESP]
author_facet Romera, João Paulo Rodrigues [UNESP]
Romera, João Paulo Rodrigues [UNESP]
Barsanelli, Paulo Lopes [UNESP]
Pereira, Fabíola Manhas Verbi [UNESP]
Barsanelli, Paulo Lopes [UNESP]
Pereira, Fabíola Manhas Verbi [UNESP]
author_role author
author2 Barsanelli, Paulo Lopes [UNESP]
Pereira, Fabíola Manhas Verbi [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Romera, João Paulo Rodrigues [UNESP]
Barsanelli, Paulo Lopes [UNESP]
Pereira, Fabíola Manhas Verbi [UNESP]
dc.subject.por.fl_str_mv Bioenergy
Chemometrics
Fiber content
LIBS
Sugar cane
topic Bioenergy
Chemometrics
Fiber content
LIBS
Sugar cane
description The development of a multivariate model for fiber content prediction in sugar cane has been investigated and can be offered as an alternative to the wet methods of analysis. The importance of fiber in bagasse of sugar cane is directly linked to the production of sugar and alcohol performances and to payment systems. The analytical method investigated here was the Laser-Induced Breakdown Spectroscopy (LIBS) combined with a Partial Least Squares (PLS) chemometric tool that can achieve the best model to predict fiber content in sugar cane. A total of 6287 spectra of raw samples of sugar cane bagasse was evaluated. The optimum conditions of operation of the equipment for the acquisition of the most sensitive LIBS signals were tested through Design of Experiments (DOE).
publishDate 2016
dc.date.none.fl_str_mv 2016-02-15
2018-12-11T16:59:14Z
2018-12-11T16:59:14Z
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/10.1016/j.fuel.2015.11.029
Fuel, v. 166, p. 473-476.
0016-2361
http://hdl.handle.net/11449/172222
10.1016/j.fuel.2015.11.029
2-s2.0-84947591069
2-s2.0-84947591069.pdf
5704445473654024
0000-0002-8117-2108
url http://dx.doi.org/10.1016/j.fuel.2015.11.029
http://hdl.handle.net/11449/172222
identifier_str_mv Fuel, v. 166, p. 473-476.
0016-2361
10.1016/j.fuel.2015.11.029
2-s2.0-84947591069
2-s2.0-84947591069.pdf
5704445473654024
0000-0002-8117-2108
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Fuel
1,891
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 473-476
application/pdf
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_ 1822182247770357760
dc.identifier.doi.none.fl_str_mv 10.1016/j.fuel.2015.11.029

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