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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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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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 |
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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 |
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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 |
work_keys_str_mv |
AT maiolicamposanacarolina nearinfraredspectroscopytoevaluatecompositionofagrobasedparticleboards AT gherardiheinpauloricardo nearinfraredspectroscopytoevaluatecompositionofagrobasedparticleboards AT mendesrafaelfarinassi nearinfraredspectroscopytoevaluatecompositionofagrobasedparticleboards AT mendeslourivalmarin nearinfraredspectroscopytoevaluatecompositionofagrobasedparticleboards AT chaixgilles nearinfraredspectroscopytoevaluatecompositionofagrobasedparticleboards |
_version_ |
1792497260515295232 |