Nirs models for chemical characteristics of Eucalyptus benthamii Maiden & Cambage wood

Detalhes bibliográficos
Autor(a) principal: Baldin, Talita
Data de Publicação: 2020
Outros Autores: Talgatti, Maiara, Silveira, Amanda Grassmann, Santos, Glêison Augusto, Santos, Osmarino Pires, Valente, Brígida
Tipo de documento: Artigo
Idioma: por
Título da fonte: Caderno de Ciências Agrárias (Online)
Texto Completo: https://periodicos.ufmg.br/index.php/ccaufmg/article/view/19296
Resumo: Near Infrared Spectroscopy (NIRS) is a non-destructible, fast, and reliable technique that can be applied in many different samples. NIR has been shown to be an efficient tool in determining the chemical, anatomical, physical, and mechanical properties of wood. The aimed of this study was to development calibration models for the wood of Eucalyptus benthamii as to its chemical constitution. For the development of the calibration models 87 trees were used (75 of E. benthamii, 4 of E. dunnii, 4 of E. grandis, and 4 of E. saligna). A portion of the sample was used for analysis of ash, extractives, lignin and holocellulose content. Another portion was milled and used to acquire the spectra, which were later correlated to laboratory values. Calibration of the model was determined by partial least squares regression analysis (PLS). Selection of the best models was based on the following statistical criteria: coefficient of determination (R²), mean cross-validation error (RMSECV), residual forecast deviation (RPD), and number of latent variables (VLs). The chemical composition of E. benthamii wood agrees with the results evidenced in the literature for Eucalyptus. NIRS calibration models presented satisfactory adjustments for holocellulose content (R2 = 0.82), total lignin content (R2 = 0.74) and Klason lignin content (R2 = 0.82). The NIRS models developed in this study present a viable commercial tool for characterization of samples of Eucalyptus benthamii wood for the cellulose industry.  
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spelling Nirs models for chemical characteristics of Eucalyptus benthamii Maiden & Cambage woodModelos NIRS para as características químicas da madeira de Eucalyptus benthamii Maiden & CambageEspectroscopia no infravermelho próximoLigninaHoloceluloseAnálise não destrutivaNear Infrared SpectroscopyLigninHolocelluloseNon-destructive techniqueNear Infrared Spectroscopy (NIRS) is a non-destructible, fast, and reliable technique that can be applied in many different samples. NIR has been shown to be an efficient tool in determining the chemical, anatomical, physical, and mechanical properties of wood. The aimed of this study was to development calibration models for the wood of Eucalyptus benthamii as to its chemical constitution. For the development of the calibration models 87 trees were used (75 of E. benthamii, 4 of E. dunnii, 4 of E. grandis, and 4 of E. saligna). A portion of the sample was used for analysis of ash, extractives, lignin and holocellulose content. Another portion was milled and used to acquire the spectra, which were later correlated to laboratory values. Calibration of the model was determined by partial least squares regression analysis (PLS). Selection of the best models was based on the following statistical criteria: coefficient of determination (R²), mean cross-validation error (RMSECV), residual forecast deviation (RPD), and number of latent variables (VLs). The chemical composition of E. benthamii wood agrees with the results evidenced in the literature for Eucalyptus. NIRS calibration models presented satisfactory adjustments for holocellulose content (R2 = 0.82), total lignin content (R2 = 0.74) and Klason lignin content (R2 = 0.82). The NIRS models developed in this study present a viable commercial tool for characterization of samples of Eucalyptus benthamii wood for the cellulose industry.  A espectroscopia no infravermelho próximo (Near Infrared Spectroscopy, NIRS) é uma técnica não destrutível, rápida e acurada, aplicável em muitas amostras e tem se mostrado como uma ferramenta eficiente na determinação das propriedades químicas, anatômicas, físicas e mecânicas da madeira. O objetivo deste estudo foi desenvolver modelos de calibração NIRS para as características químicas da madeira de Eucalyptus benthamii. Para o desenvolvimento dos modelos de calibração toretes de 87 árvores, sendo 75 de E. benthamii, quatro de E. dunnii, quatro de E. grandis e quatro de E. saligna foram transformadas em cavacos. Parte deste material serviu para as análises de cinzas, extrativos, lignina total e Klason e holocelulose, outra parte foi moída para aquisição dos espectros, que posteriormente foram correlacionados aos valores laboratoriais. A calibração do modelo foi determinada por análise de regressão dos mínimos quadrados parciais (PLS). A seleção dos modelos foi tomada com base nos critérios estatísticos de coeficiente de determinação (R²), erro médio da validação cruzada (RMSECV), desvio residual de previsão (RPD) e do número de variáveis latentes (VLs). A composição química da madeira de E. benthamii corrobora os resultados evidenciados na literatura para os eucaliptos. Os modelos de calibração apresentaram ajustes satisfatórios para o teor de holocelulose (R2=0,82), lignina total (R2=0,74) e lignina Klason (R2=0,82) e a sua utilização comercial é recomendada para predição de amostras desconhecidas. A técnica NIRS se mostrou promissora para predizer a qualidade da madeira de Eucalyptus benthamii para a indústria de celulose.Universidade Federal de Minas Gerais2020-08-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttps://periodicos.ufmg.br/index.php/ccaufmg/article/view/1929610.35699/2447-6218.2020.19296Agrarian Sciences Journal; Vol. 12 (2020); 1-9Caderno de Ciências Agrárias; v. 12 (2020); 1-92447-62181984-6738reponame:Caderno de Ciências Agrárias (Online)instname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGporhttps://periodicos.ufmg.br/index.php/ccaufmg/article/view/19296/19676https://periodicos.ufmg.br/index.php/ccaufmg/article/view/19296/19677Copyright (c) 2020 Caderno de Ciências Agráriashttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessBaldin, TalitaTalgatti, MaiaraSilveira, Amanda Grassmann Santos, Glêison AugustoSantos, Osmarino Pires Valente, Brígida2022-07-28T14:18:28Zoai:periodicos.ufmg.br:article/19296Revistahttps://periodicos.ufmg.br/index.php/ccaufmgPUBhttps://periodicos.ufmg.br/index.php/ccaufmg/oaiccaufmg@ica.ufmg.br2447-62181984-6738opendoar:2022-07-28T14:18:28Caderno de Ciências Agrárias (Online) - Universidade Federal de Minas Gerais (UFMG)false
dc.title.none.fl_str_mv Nirs models for chemical characteristics of Eucalyptus benthamii Maiden & Cambage wood
Modelos NIRS para as características químicas da madeira de Eucalyptus benthamii Maiden & Cambage
title Nirs models for chemical characteristics of Eucalyptus benthamii Maiden & Cambage wood
spellingShingle Nirs models for chemical characteristics of Eucalyptus benthamii Maiden & Cambage wood
Baldin, Talita
Espectroscopia no infravermelho próximo
Lignina
Holocelulose
Análise não destrutiva
Near Infrared Spectroscopy
Lignin
Holocellulose
Non-destructive technique
title_short Nirs models for chemical characteristics of Eucalyptus benthamii Maiden & Cambage wood
title_full Nirs models for chemical characteristics of Eucalyptus benthamii Maiden & Cambage wood
title_fullStr Nirs models for chemical characteristics of Eucalyptus benthamii Maiden & Cambage wood
title_full_unstemmed Nirs models for chemical characteristics of Eucalyptus benthamii Maiden & Cambage wood
title_sort Nirs models for chemical characteristics of Eucalyptus benthamii Maiden & Cambage wood
author Baldin, Talita
author_facet Baldin, Talita
Talgatti, Maiara
Silveira, Amanda Grassmann
Santos, Glêison Augusto
Santos, Osmarino Pires
Valente, Brígida
author_role author
author2 Talgatti, Maiara
Silveira, Amanda Grassmann
Santos, Glêison Augusto
Santos, Osmarino Pires
Valente, Brígida
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Baldin, Talita
Talgatti, Maiara
Silveira, Amanda Grassmann
Santos, Glêison Augusto
Santos, Osmarino Pires
Valente, Brígida
dc.subject.por.fl_str_mv Espectroscopia no infravermelho próximo
Lignina
Holocelulose
Análise não destrutiva
Near Infrared Spectroscopy
Lignin
Holocellulose
Non-destructive technique
topic Espectroscopia no infravermelho próximo
Lignina
Holocelulose
Análise não destrutiva
Near Infrared Spectroscopy
Lignin
Holocellulose
Non-destructive technique
description Near Infrared Spectroscopy (NIRS) is a non-destructible, fast, and reliable technique that can be applied in many different samples. NIR has been shown to be an efficient tool in determining the chemical, anatomical, physical, and mechanical properties of wood. The aimed of this study was to development calibration models for the wood of Eucalyptus benthamii as to its chemical constitution. For the development of the calibration models 87 trees were used (75 of E. benthamii, 4 of E. dunnii, 4 of E. grandis, and 4 of E. saligna). A portion of the sample was used for analysis of ash, extractives, lignin and holocellulose content. Another portion was milled and used to acquire the spectra, which were later correlated to laboratory values. Calibration of the model was determined by partial least squares regression analysis (PLS). Selection of the best models was based on the following statistical criteria: coefficient of determination (R²), mean cross-validation error (RMSECV), residual forecast deviation (RPD), and number of latent variables (VLs). The chemical composition of E. benthamii wood agrees with the results evidenced in the literature for Eucalyptus. NIRS calibration models presented satisfactory adjustments for holocellulose content (R2 = 0.82), total lignin content (R2 = 0.74) and Klason lignin content (R2 = 0.82). The NIRS models developed in this study present a viable commercial tool for characterization of samples of Eucalyptus benthamii wood for the cellulose industry.  
publishDate 2020
dc.date.none.fl_str_mv 2020-08-28
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.ufmg.br/index.php/ccaufmg/article/view/19296
10.35699/2447-6218.2020.19296
url https://periodicos.ufmg.br/index.php/ccaufmg/article/view/19296
identifier_str_mv 10.35699/2447-6218.2020.19296
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufmg.br/index.php/ccaufmg/article/view/19296/19676
https://periodicos.ufmg.br/index.php/ccaufmg/article/view/19296/19677
dc.rights.driver.fl_str_mv Copyright (c) 2020 Caderno de Ciências Agrárias
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Caderno de Ciências Agrárias
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
text/html
dc.publisher.none.fl_str_mv Universidade Federal de Minas Gerais
publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.source.none.fl_str_mv Agrarian Sciences Journal; Vol. 12 (2020); 1-9
Caderno de Ciências Agrárias; v. 12 (2020); 1-9
2447-6218
1984-6738
reponame:Caderno de Ciências Agrárias (Online)
instname:Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG
instname_str Universidade Federal de Minas Gerais (UFMG)
instacron_str UFMG
institution UFMG
reponame_str Caderno de Ciências Agrárias (Online)
collection Caderno de Ciências Agrárias (Online)
repository.name.fl_str_mv Caderno de Ciências Agrárias (Online) - Universidade Federal de Minas Gerais (UFMG)
repository.mail.fl_str_mv ccaufmg@ica.ufmg.br
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