Near infrared spectroscopy to evaluate composition of agro-based particleboards

Particleboards can be manufactured from particles of any lignin-cellulosic material that can be combined with an adhesive and consolidated under the action of temperature and pressure. Because the raw materials in the industrial process are continually changing, the particleboard industry requires methods for monitoring the quality of their products. Hence, the aim of this paper was to evaluate the composition of the agro-based particleboards by near infrared spectroscopy. In this study, agro-based particleboards produced with different compositions of Eucalyptus and Pinus wood particles and sugar cane bagasse were evaluated by NIR spectroscopy and partial least square (PLS) regression. The PLS models to estimate the Eucalyptus and Pinus particles and sugar cane bagasse contents presented a strong coefficient of determination (0.90, 0.88 and 0.84, respectively), but also high magnitudes of standard errors of cross-validation were observed (ranging from 8.84 to 11.27%). Development work would be required in order to reduce the standard errors and improve predictive model performance to build robust models that could be applied as quality control tool.

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Main Authors: Maioli Campos, Ana Carolina, Gherardi Hein, Paulo Ricardo, Mendes, Rafael Farinassi, Mendes, Lourival Marin, Chaix, Gilles
Format: article biblioteca
Language:eng
Subjects:U30 - Méthodes de recherche, K50 - Technologie des produits forestiers, Pinus oocarpa, Eucalyptus urophylla, panneau dérivé du bois, bagasse, Saccharum officinarum, spectroscopie infrarouge, http://aims.fao.org/aos/agrovoc/c_24787, http://aims.fao.org/aos/agrovoc/c_26492, http://aims.fao.org/aos/agrovoc/c_8427, http://aims.fao.org/aos/agrovoc/c_776, http://aims.fao.org/aos/agrovoc/c_6727, http://aims.fao.org/aos/agrovoc/c_28568, http://aims.fao.org/aos/agrovoc/c_4847,
Online Access:http://agritrop.cirad.fr/549940/
http://agritrop.cirad.fr/549940/1/document_549940.pdf
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spelling dig-cirad-fr-5499402024-01-28T17:16:01Z http://agritrop.cirad.fr/549940/ http://agritrop.cirad.fr/549940/ Near infrared spectroscopy to evaluate composition of agro-based particleboards. Maioli Campos Ana Carolina, Gherardi Hein Paulo Ricardo, Mendes Rafael Farinassi, Mendes Lourival Marin, Chaix Gilles. 2009. BioResources, 4 (3) : 1058-1069.http://ncsu.edu/bioresources/BioRes_04/BioRes_04_3_1058_Campos_HMMC_NIR_Spectrosc_Eval_Particlesboards.pdf <http://ncsu.edu/bioresources/BioRes_04/BioRes_04_3_1058_Campos_HMMC_NIR_Spectrosc_Eval_Particlesboards.pdf> Near infrared spectroscopy to evaluate composition of agro-based particleboards Maioli Campos, Ana Carolina Gherardi Hein, Paulo Ricardo Mendes, Rafael Farinassi Mendes, Lourival Marin Chaix, Gilles eng 2009 BioResources U30 - Méthodes de recherche K50 - Technologie des produits forestiers Pinus oocarpa Eucalyptus urophylla panneau dérivé du bois bagasse Saccharum officinarum spectroscopie infrarouge http://aims.fao.org/aos/agrovoc/c_24787 http://aims.fao.org/aos/agrovoc/c_26492 http://aims.fao.org/aos/agrovoc/c_8427 http://aims.fao.org/aos/agrovoc/c_776 http://aims.fao.org/aos/agrovoc/c_6727 http://aims.fao.org/aos/agrovoc/c_28568 Minas Gerais http://aims.fao.org/aos/agrovoc/c_4847 Particleboards can be manufactured from particles of any lignin-cellulosic material that can be combined with an adhesive and consolidated under the action of temperature and pressure. Because the raw materials in the industrial process are continually changing, the particleboard industry requires methods for monitoring the quality of their products. Hence, the aim of this paper was to evaluate the composition of the agro-based particleboards by near infrared spectroscopy. In this study, agro-based particleboards produced with different compositions of Eucalyptus and Pinus wood particles and sugar cane bagasse were evaluated by NIR spectroscopy and partial least square (PLS) regression. The PLS models to estimate the Eucalyptus and Pinus particles and sugar cane bagasse contents presented a strong coefficient of determination (0.90, 0.88 and 0.84, respectively), but also high magnitudes of standard errors of cross-validation were observed (ranging from 8.84 to 11.27%). Development work would be required in order to reduce the standard errors and improve predictive model performance to build robust models that could be applied as quality control tool. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/549940/1/document_549940.pdf application/pdf Cirad license info:eu-repo/semantics/openAccess https://agritrop.cirad.fr/mention_legale.html http://ncsu.edu/bioresources/BioRes_04/BioRes_04_3_1058_Campos_HMMC_NIR_Spectrosc_Eval_Particlesboards.pdf http://catalogue-bibliotheques.cirad.fr/cgi-bin/koha/opac-detail.pl?biblionumber=184198 info:eu-repo/semantics/altIdentifier/purl/http://ncsu.edu/bioresources/BioRes_04/BioRes_04_3_1058_Campos_HMMC_NIR_Spectrosc_Eval_Particlesboards.pdf
institution CIRAD FR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cirad-fr
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CIRAD Francia
language eng
topic U30 - Méthodes de recherche
K50 - Technologie des produits forestiers
Pinus oocarpa
Eucalyptus urophylla
panneau dérivé du bois
bagasse
Saccharum officinarum
spectroscopie infrarouge
http://aims.fao.org/aos/agrovoc/c_24787
http://aims.fao.org/aos/agrovoc/c_26492
http://aims.fao.org/aos/agrovoc/c_8427
http://aims.fao.org/aos/agrovoc/c_776
http://aims.fao.org/aos/agrovoc/c_6727
http://aims.fao.org/aos/agrovoc/c_28568
http://aims.fao.org/aos/agrovoc/c_4847
U30 - Méthodes de recherche
K50 - Technologie des produits forestiers
Pinus oocarpa
Eucalyptus urophylla
panneau dérivé du bois
bagasse
Saccharum officinarum
spectroscopie infrarouge
http://aims.fao.org/aos/agrovoc/c_24787
http://aims.fao.org/aos/agrovoc/c_26492
http://aims.fao.org/aos/agrovoc/c_8427
http://aims.fao.org/aos/agrovoc/c_776
http://aims.fao.org/aos/agrovoc/c_6727
http://aims.fao.org/aos/agrovoc/c_28568
http://aims.fao.org/aos/agrovoc/c_4847
spellingShingle U30 - Méthodes de recherche
K50 - Technologie des produits forestiers
Pinus oocarpa
Eucalyptus urophylla
panneau dérivé du bois
bagasse
Saccharum officinarum
spectroscopie infrarouge
http://aims.fao.org/aos/agrovoc/c_24787
http://aims.fao.org/aos/agrovoc/c_26492
http://aims.fao.org/aos/agrovoc/c_8427
http://aims.fao.org/aos/agrovoc/c_776
http://aims.fao.org/aos/agrovoc/c_6727
http://aims.fao.org/aos/agrovoc/c_28568
http://aims.fao.org/aos/agrovoc/c_4847
U30 - Méthodes de recherche
K50 - Technologie des produits forestiers
Pinus oocarpa
Eucalyptus urophylla
panneau dérivé du bois
bagasse
Saccharum officinarum
spectroscopie infrarouge
http://aims.fao.org/aos/agrovoc/c_24787
http://aims.fao.org/aos/agrovoc/c_26492
http://aims.fao.org/aos/agrovoc/c_8427
http://aims.fao.org/aos/agrovoc/c_776
http://aims.fao.org/aos/agrovoc/c_6727
http://aims.fao.org/aos/agrovoc/c_28568
http://aims.fao.org/aos/agrovoc/c_4847
Maioli Campos, Ana Carolina
Gherardi Hein, Paulo Ricardo
Mendes, Rafael Farinassi
Mendes, Lourival Marin
Chaix, Gilles
Near infrared spectroscopy to evaluate composition of agro-based particleboards
description Particleboards can be manufactured from particles of any lignin-cellulosic material that can be combined with an adhesive and consolidated under the action of temperature and pressure. Because the raw materials in the industrial process are continually changing, the particleboard industry requires methods for monitoring the quality of their products. Hence, the aim of this paper was to evaluate the composition of the agro-based particleboards by near infrared spectroscopy. In this study, agro-based particleboards produced with different compositions of Eucalyptus and Pinus wood particles and sugar cane bagasse were evaluated by NIR spectroscopy and partial least square (PLS) regression. The PLS models to estimate the Eucalyptus and Pinus particles and sugar cane bagasse contents presented a strong coefficient of determination (0.90, 0.88 and 0.84, respectively), but also high magnitudes of standard errors of cross-validation were observed (ranging from 8.84 to 11.27%). Development work would be required in order to reduce the standard errors and improve predictive model performance to build robust models that could be applied as quality control tool.
format article
topic_facet U30 - Méthodes de recherche
K50 - Technologie des produits forestiers
Pinus oocarpa
Eucalyptus urophylla
panneau dérivé du bois
bagasse
Saccharum officinarum
spectroscopie infrarouge
http://aims.fao.org/aos/agrovoc/c_24787
http://aims.fao.org/aos/agrovoc/c_26492
http://aims.fao.org/aos/agrovoc/c_8427
http://aims.fao.org/aos/agrovoc/c_776
http://aims.fao.org/aos/agrovoc/c_6727
http://aims.fao.org/aos/agrovoc/c_28568
http://aims.fao.org/aos/agrovoc/c_4847
author Maioli Campos, Ana Carolina
Gherardi Hein, Paulo Ricardo
Mendes, Rafael Farinassi
Mendes, Lourival Marin
Chaix, Gilles
author_facet Maioli Campos, Ana Carolina
Gherardi Hein, Paulo Ricardo
Mendes, Rafael Farinassi
Mendes, Lourival Marin
Chaix, Gilles
author_sort Maioli Campos, Ana Carolina
title Near infrared spectroscopy to evaluate composition of agro-based particleboards
title_short Near infrared spectroscopy to evaluate composition of agro-based particleboards
title_full Near infrared spectroscopy to evaluate composition of agro-based particleboards
title_fullStr Near infrared spectroscopy to evaluate composition of agro-based particleboards
title_full_unstemmed Near infrared spectroscopy to evaluate composition of agro-based particleboards
title_sort near infrared spectroscopy to evaluate composition of agro-based particleboards
url http://agritrop.cirad.fr/549940/
http://agritrop.cirad.fr/549940/1/document_549940.pdf
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