Estimation of total extractive content of wood from planted and native forests by near infrared spectroscopy
Autor(a) principal: | |
---|---|
Data de Publicação: | 2021 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFLA |
Texto Completo: | http://repositorio.ufla.br/jspui/handle/1/49488 |
Resumo: | The aim of this study was to evaluate the performance of multivariate models using Near infrared (NIR) spectra for predicting total extractives content of solid and powdered wood of planted and native species from tropical savanna. NIR spectra were recorded on the milled wood and radial surface of solid wood specimens of Cedrela sp., Jacaranda sp., Apuleia sp., Aspidosperma sp. and clones of Eucalyptus hybrids via an integrating sphere and fiber optics probe. NIR spectral signatures were evaluated by Principal Component Analysis (PCA) and then associated to the total extractive content quantified by extraction in toluene/ethanol (2:1) solutions, pure ethanol and hot water by Partial Least Squares (PLS) regressions. PCA revealed that NIR spectra measured in solid wood by integrating sphere gave a better discrimination of wood species. A global PLS model was developed based on NIR obtained by integrating sphere with satisfactory estimations both for solid wood (R²cv= 0.87, RMSECV= 1.08%) and wood powder (R²cv= 0.85, RMSECV= 1.19%). An independent test-set validation was performed with 25% of the samples and yielded R²p= 0.93 and RMSEP= 0.95% (for solid wood) and R²p= 0.87 and RMSEP= 1.40% (for wood powder). Both models can be applied for rapid screenings, though models developed from NIR spectra by integrating sphere on solid wood are considered more suitable for rapid predictions of extractive content in unknown wood specimens. |
id |
UFLA_e38a864ada835b1bf0aa7909a6435c85 |
---|---|
oai_identifier_str |
oai:localhost:1/49488 |
network_acronym_str |
UFLA |
network_name_str |
Repositório Institucional da UFLA |
repository_id_str |
|
spelling |
Estimation of total extractive content of wood from planted and native forests by near infrared spectroscopyLumberMultivariate analysisNon-destructive testingTest set validationWood chemistryThe aim of this study was to evaluate the performance of multivariate models using Near infrared (NIR) spectra for predicting total extractives content of solid and powdered wood of planted and native species from tropical savanna. NIR spectra were recorded on the milled wood and radial surface of solid wood specimens of Cedrela sp., Jacaranda sp., Apuleia sp., Aspidosperma sp. and clones of Eucalyptus hybrids via an integrating sphere and fiber optics probe. NIR spectral signatures were evaluated by Principal Component Analysis (PCA) and then associated to the total extractive content quantified by extraction in toluene/ethanol (2:1) solutions, pure ethanol and hot water by Partial Least Squares (PLS) regressions. PCA revealed that NIR spectra measured in solid wood by integrating sphere gave a better discrimination of wood species. A global PLS model was developed based on NIR obtained by integrating sphere with satisfactory estimations both for solid wood (R²cv= 0.87, RMSECV= 1.08%) and wood powder (R²cv= 0.85, RMSECV= 1.19%). An independent test-set validation was performed with 25% of the samples and yielded R²p= 0.93 and RMSEP= 0.95% (for solid wood) and R²p= 0.87 and RMSEP= 1.40% (for wood powder). Both models can be applied for rapid screenings, though models developed from NIR spectra by integrating sphere on solid wood are considered more suitable for rapid predictions of extractive content in unknown wood specimens.The Italian Society of Silviculture and Forest Ecology (SISEF)2022-03-15T11:50:06Z2022-03-15T11:50:06Z2021-01-09info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfMANCINI, L. T. et al. Estimation of total extractive content of wood from planted and native forests by near infrared spectroscopy. iForest-Biogeosciences and Forestry, [S.l.], v. 14, n. 1, p. 18-25, Jan. 2021. DOI: 10.3832/ifor3472-013.http://repositorio.ufla.br/jspui/handle/1/49488iForest-Biogeosciences and Forestryreponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution-NonCommercial 4.0 Internationalhttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccessMancini, Luana TeixeiraRamalho, Fernanda Maria GuedesTrugilho, Paulo FernandoHein, Paulo Ricardo Gherardieng2023-05-30T17:36:36Zoai:localhost:1/49488Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2023-05-30T17:36:36Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false |
dc.title.none.fl_str_mv |
Estimation of total extractive content of wood from planted and native forests by near infrared spectroscopy |
title |
Estimation of total extractive content of wood from planted and native forests by near infrared spectroscopy |
spellingShingle |
Estimation of total extractive content of wood from planted and native forests by near infrared spectroscopy Mancini, Luana Teixeira Lumber Multivariate analysis Non-destructive testing Test set validation Wood chemistry |
title_short |
Estimation of total extractive content of wood from planted and native forests by near infrared spectroscopy |
title_full |
Estimation of total extractive content of wood from planted and native forests by near infrared spectroscopy |
title_fullStr |
Estimation of total extractive content of wood from planted and native forests by near infrared spectroscopy |
title_full_unstemmed |
Estimation of total extractive content of wood from planted and native forests by near infrared spectroscopy |
title_sort |
Estimation of total extractive content of wood from planted and native forests by near infrared spectroscopy |
author |
Mancini, Luana Teixeira |
author_facet |
Mancini, Luana Teixeira Ramalho, Fernanda Maria Guedes Trugilho, Paulo Fernando Hein, Paulo Ricardo Gherardi |
author_role |
author |
author2 |
Ramalho, Fernanda Maria Guedes Trugilho, Paulo Fernando Hein, Paulo Ricardo Gherardi |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Mancini, Luana Teixeira Ramalho, Fernanda Maria Guedes Trugilho, Paulo Fernando Hein, Paulo Ricardo Gherardi |
dc.subject.por.fl_str_mv |
Lumber Multivariate analysis Non-destructive testing Test set validation Wood chemistry |
topic |
Lumber Multivariate analysis Non-destructive testing Test set validation Wood chemistry |
description |
The aim of this study was to evaluate the performance of multivariate models using Near infrared (NIR) spectra for predicting total extractives content of solid and powdered wood of planted and native species from tropical savanna. NIR spectra were recorded on the milled wood and radial surface of solid wood specimens of Cedrela sp., Jacaranda sp., Apuleia sp., Aspidosperma sp. and clones of Eucalyptus hybrids via an integrating sphere and fiber optics probe. NIR spectral signatures were evaluated by Principal Component Analysis (PCA) and then associated to the total extractive content quantified by extraction in toluene/ethanol (2:1) solutions, pure ethanol and hot water by Partial Least Squares (PLS) regressions. PCA revealed that NIR spectra measured in solid wood by integrating sphere gave a better discrimination of wood species. A global PLS model was developed based on NIR obtained by integrating sphere with satisfactory estimations both for solid wood (R²cv= 0.87, RMSECV= 1.08%) and wood powder (R²cv= 0.85, RMSECV= 1.19%). An independent test-set validation was performed with 25% of the samples and yielded R²p= 0.93 and RMSEP= 0.95% (for solid wood) and R²p= 0.87 and RMSEP= 1.40% (for wood powder). Both models can be applied for rapid screenings, though models developed from NIR spectra by integrating sphere on solid wood are considered more suitable for rapid predictions of extractive content in unknown wood specimens. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-09 2022-03-15T11:50:06Z 2022-03-15T11:50:06Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
MANCINI, L. T. et al. Estimation of total extractive content of wood from planted and native forests by near infrared spectroscopy. iForest-Biogeosciences and Forestry, [S.l.], v. 14, n. 1, p. 18-25, Jan. 2021. DOI: 10.3832/ifor3472-013. http://repositorio.ufla.br/jspui/handle/1/49488 |
identifier_str_mv |
MANCINI, L. T. et al. Estimation of total extractive content of wood from planted and native forests by near infrared spectroscopy. iForest-Biogeosciences and Forestry, [S.l.], v. 14, n. 1, p. 18-25, Jan. 2021. DOI: 10.3832/ifor3472-013. |
url |
http://repositorio.ufla.br/jspui/handle/1/49488 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
Attribution-NonCommercial 4.0 International http://creativecommons.org/licenses/by-nc/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution-NonCommercial 4.0 International http://creativecommons.org/licenses/by-nc/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
The Italian Society of Silviculture and Forest Ecology (SISEF) |
publisher.none.fl_str_mv |
The Italian Society of Silviculture and Forest Ecology (SISEF) |
dc.source.none.fl_str_mv |
iForest-Biogeosciences and Forestry reponame:Repositório Institucional da UFLA instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Repositório Institucional da UFLA |
collection |
Repositório Institucional da UFLA |
repository.name.fl_str_mv |
Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
nivaldo@ufla.br || repositorio.biblioteca@ufla.br |
_version_ |
1784550148855037952 |