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: Floresta e Ambiente
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019005000113
Resumo: ABSTRACT 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 biomassABSTRACT 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.Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019005000113Floresta e Ambiente v.26 n.spe1 2019reponame:Floresta e Ambienteinstname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJ10.1590/2179-8087.039718info:eu-repo/semantics/openAccessRamalho,Fernanda Maria GuedesSimetti,RodrigoArriel,Taiana GuimarãesLoureiro,Breno AssisHein,Paulo Ricardo Gherardieng2021-03-19T00:00:00Zoai:scielo:S2179-80872019005000113Revistahttps://www.floram.org/PUBhttps://old.scielo.br/oai/scielo-oai.phpfloramjournal@gmail.com||floram@ufrrj.br||2179-80871415-0980opendoar:2021-03-19T00:00Floresta e Ambiente - Universidade Federal do Rio de Janeiro (UFRJ)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
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
topic wood pyrolysis
NIR
proximate chemical analysis
forest biomass
description ABSTRACT 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 2019-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019005000113
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019005000113
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/2179-8087.039718
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro
publisher.none.fl_str_mv Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro
dc.source.none.fl_str_mv Floresta e Ambiente v.26 n.spe1 2019
reponame:Floresta e Ambiente
instname:Universidade Federal do Rio de Janeiro (UFRJ)
instacron:UFRJ
instname_str Universidade Federal do Rio de Janeiro (UFRJ)
instacron_str UFRJ
institution UFRJ
reponame_str Floresta e Ambiente
collection Floresta e Ambiente
repository.name.fl_str_mv Floresta e Ambiente - Universidade Federal do Rio de Janeiro (UFRJ)
repository.mail.fl_str_mv floramjournal@gmail.com||floram@ufrrj.br||
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