Influence of Particles Size on NIR Spectroscopic Estimations of Charcoal Properties

Detalhes bibliográficos
Autor(a) principal: Ramalho, Fernanda Maria Guedes
Data de Publicação: 2019
Outros Autores: Simetti, Rodrigo, Arriel, Taiana Guimarães, Loureiro, Breno Assis, Hein, Paulo Ricardo Gherardi
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/41319
Resumo: The objective of this study was to evaluate the influence of particle size of charcoal samples on the predictive model statistics of charcoal chemical composition based on the NIR spectroscopy. Spectra of Acacia and of Eucalyptus charcoal were collected in the 100, 60 and 40 mesh granulometry, besides the powder remaining at the bottom of the sieves sets. They were subjected to principal component analysis and partial least square regression in order to estimate of volatile material (VMC), ash (AC) and fixed carbon content (FCC) values. The estimation of the FCC, VMC and AC of Eucalyptus based on NIR was more accurate using spectra of lower-particle-size powder. The models for Acacia charcoal were better using spectra measured at 40 mesh to predict FCC, 100 mesh for AC, and smaller size for VMC. NIR spectroscopy was efficient in estimating the immediate chemical composition of charcoal, except for AC.
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spelling Influence of Particles Size on NIR Spectroscopic Estimations of Charcoal PropertiesWood pyrolysisNIRProximate chemical analysisForest biomassMadeira - PiróliseCarvão vegetal - Análise químicaEspectroscopia no infravermelho próximoBiomassa florestalThe objective of this study was to evaluate the influence of particle size of charcoal samples on the predictive model statistics of charcoal chemical composition based on the NIR spectroscopy. Spectra of Acacia and of Eucalyptus charcoal were collected in the 100, 60 and 40 mesh granulometry, besides the powder remaining at the bottom of the sieves sets. They were subjected to principal component analysis and partial least square regression in order to estimate of volatile material (VMC), ash (AC) and fixed carbon content (FCC) values. The estimation of the FCC, VMC and AC of Eucalyptus based on NIR was more accurate using spectra of lower-particle-size powder. The models for Acacia charcoal were better using spectra measured at 40 mesh to predict FCC, 100 mesh for AC, and smaller size for VMC. NIR spectroscopy was efficient in estimating the immediate chemical composition of charcoal, except for AC.Universidade Federal Rural do Rio de Janeiro2020-06-01T18:02:08Z2020-06-01T18:02:08Z2019info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfRAMALHO, F. M. G. et al. Influence of Particles Size on NIR Spectroscopic Estimations of Charcoal Properties. Floresta e Ambiente, Seropédica, v. 26, n. spe. 1, 2019. Não paginado.http://repositorio.ufla.br/jspui/handle/1/41319FLORAM - Revista Floresta e Ambientereponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessRamalho, Fernanda Maria GuedesSimetti, RodrigoArriel, Taiana GuimarãesLoureiro, Breno AssisHein, Paulo Ricardo Gherardieng2020-06-01T18:03:07Zoai:localhost:1/41319Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2020-06-01T18:03:07Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Influence of Particles Size on NIR Spectroscopic Estimations of Charcoal Properties
title Influence of Particles Size on NIR Spectroscopic Estimations of Charcoal Properties
spellingShingle Influence of Particles Size on NIR Spectroscopic Estimations of Charcoal Properties
Ramalho, Fernanda Maria Guedes
Wood pyrolysis
NIR
Proximate chemical analysis
Forest biomass
Madeira - Pirólise
Carvão vegetal - Análise química
Espectroscopia no infravermelho próximo
Biomassa florestal
title_short Influence of Particles Size on NIR Spectroscopic Estimations of Charcoal Properties
title_full Influence of Particles Size on NIR Spectroscopic Estimations of Charcoal Properties
title_fullStr Influence of Particles Size on NIR Spectroscopic Estimations of Charcoal Properties
title_full_unstemmed Influence of Particles Size on NIR Spectroscopic Estimations of Charcoal Properties
title_sort Influence of Particles Size on NIR Spectroscopic Estimations of Charcoal Properties
author Ramalho, Fernanda Maria Guedes
author_facet Ramalho, Fernanda Maria Guedes
Simetti, Rodrigo
Arriel, Taiana Guimarães
Loureiro, Breno Assis
Hein, Paulo Ricardo Gherardi
author_role author
author2 Simetti, Rodrigo
Arriel, Taiana Guimarães
Loureiro, Breno Assis
Hein, Paulo Ricardo Gherardi
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Ramalho, Fernanda Maria Guedes
Simetti, Rodrigo
Arriel, Taiana Guimarães
Loureiro, Breno Assis
Hein, Paulo Ricardo Gherardi
dc.subject.por.fl_str_mv Wood pyrolysis
NIR
Proximate chemical analysis
Forest biomass
Madeira - Pirólise
Carvão vegetal - Análise química
Espectroscopia no infravermelho próximo
Biomassa florestal
topic Wood pyrolysis
NIR
Proximate chemical analysis
Forest biomass
Madeira - Pirólise
Carvão vegetal - Análise química
Espectroscopia no infravermelho próximo
Biomassa florestal
description The objective of this study was to evaluate the influence of particle size of charcoal samples on the predictive model statistics of charcoal chemical composition based on the NIR spectroscopy. Spectra of Acacia and of Eucalyptus charcoal were collected in the 100, 60 and 40 mesh granulometry, besides the powder remaining at the bottom of the sieves sets. They were subjected to principal component analysis and partial least square regression in order to estimate of volatile material (VMC), ash (AC) and fixed carbon content (FCC) values. The estimation of the FCC, VMC and AC of Eucalyptus based on NIR was more accurate using spectra of lower-particle-size powder. The models for Acacia charcoal were better using spectra measured at 40 mesh to predict FCC, 100 mesh for AC, and smaller size for VMC. NIR spectroscopy was efficient in estimating the immediate chemical composition of charcoal, except for AC.
publishDate 2019
dc.date.none.fl_str_mv 2019
2020-06-01T18:02:08Z
2020-06-01T18:02:08Z
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.uri.fl_str_mv RAMALHO, F. M. G. et al. Influence of Particles Size on NIR Spectroscopic Estimations of Charcoal Properties. Floresta e Ambiente, Seropédica, v. 26, n. spe. 1, 2019. Não paginado.
http://repositorio.ufla.br/jspui/handle/1/41319
identifier_str_mv RAMALHO, F. M. G. et al. Influence of Particles Size on NIR Spectroscopic Estimations of Charcoal Properties. Floresta e Ambiente, Seropédica, v. 26, n. spe. 1, 2019. Não paginado.
url http://repositorio.ufla.br/jspui/handle/1/41319
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal Rural do Rio de Janeiro
publisher.none.fl_str_mv Universidade Federal Rural do Rio de Janeiro
dc.source.none.fl_str_mv FLORAM - Revista Floresta e Ambiente
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
_version_ 1807835120628924416

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