Nirs models for chemical characteristics of Eucalyptus benthamii Maiden & Cambage wood
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
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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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 |
_version_ |
1797042443568283648 |