COLORIMETRIC CHARACTERIZATION OF THREE WOOD SPECIES FROM THE AMAZON FOREST
Autor(a) principal: | |
---|---|
Data de Publicação: | 2016 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Cerne (Online) |
Texto Completo: | https://cerne.ufla.br/site/index.php/CERNE/article/view/994 |
Resumo: | The aim of this study was to analyze wood color variability in the (radial, tangential and transversal) anatomic sections of Breu-vermelho, Tauari-vermelho and Pequiarana species through quantitative colorimetry using CIELAB color system. Such species come from a forest sustainable area of Thousand Precious Woods Company, located in Itacoatiara in the Amazon region of Brazil. Five wood samples from each species were selected so as to determine the following colorimetric parameters: L*, a*, b*, C e h*. In addition, 225 measurements were carried out with Konica Minolta CM-5 spectrophotometer connected to the computer. Results pointed out to statistical differences in the colorimetric parameters and also a low saturation in a* in the analyzed species. According to the cluster gathering, Breu-vermelho wood presents olive and/or grayish pink color, Tauari-vermelho is pinkish-gray and Pequiarana is grayish-pink and/ or pinkish-gray. Such species presented differences in color among the three anatomic sections cited above and were also influenced by the yellow color defined in b* parameter. To summarize, colorimetric analysis to establish wood color is a simple procedure which may be used from the sawing of the logs until their final exploitation enabling value aggregation to the final product. |
id |
UFLA-3_b838c0f6e6b81b686436e61549c583c0 |
---|---|
oai_identifier_str |
oai:cerne.ufla.br:article/994 |
network_acronym_str |
UFLA-3 |
network_name_str |
Cerne (Online) |
repository_id_str |
|
spelling |
COLORIMETRIC CHARACTERIZATION OF THREE WOOD SPECIES FROM THE AMAZON FORESTAmazon woodcolorimetryspectroscopy colorCIELAB systemwood color.The aim of this study was to analyze wood color variability in the (radial, tangential and transversal) anatomic sections of Breu-vermelho, Tauari-vermelho and Pequiarana species through quantitative colorimetry using CIELAB color system. Such species come from a forest sustainable area of Thousand Precious Woods Company, located in Itacoatiara in the Amazon region of Brazil. Five wood samples from each species were selected so as to determine the following colorimetric parameters: L*, a*, b*, C e h*. In addition, 225 measurements were carried out with Konica Minolta CM-5 spectrophotometer connected to the computer. Results pointed out to statistical differences in the colorimetric parameters and also a low saturation in a* in the analyzed species. According to the cluster gathering, Breu-vermelho wood presents olive and/or grayish pink color, Tauari-vermelho is pinkish-gray and Pequiarana is grayish-pink and/ or pinkish-gray. Such species presented differences in color among the three anatomic sections cited above and were also influenced by the yellow color defined in b* parameter. To summarize, colorimetric analysis to establish wood color is a simple procedure which may be used from the sawing of the logs until their final exploitation enabling value aggregation to the final product.CERNECERNE2016-04-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://cerne.ufla.br/site/index.php/CERNE/article/view/994CERNE; Vol. 20 No. 3 (2014); 337-342CERNE; v. 20 n. 3 (2014); 337-3422317-63420104-7760reponame:Cerne (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://cerne.ufla.br/site/index.php/CERNE/article/view/994/767Copyright (c) 2016 CERNEinfo:eu-repo/semantics/openAccessBarros, Sâmia Valéria dos SantosMuniz, Graciela Inês Bolzon deMatos, Jorge Luís Monteiro de2016-04-20T10:07:45Zoai:cerne.ufla.br:article/994Revistahttps://cerne.ufla.br/site/index.php/CERNEPUBhttps://cerne.ufla.br/site/index.php/CERNE/oaicerne@dcf.ufla.br||cerne@dcf.ufla.br2317-63420104-7760opendoar:2024-05-21T19:54:16.999974Cerne (Online) - Universidade Federal de Lavras (UFLA)true |
dc.title.none.fl_str_mv |
COLORIMETRIC CHARACTERIZATION OF THREE WOOD SPECIES FROM THE AMAZON FOREST |
title |
COLORIMETRIC CHARACTERIZATION OF THREE WOOD SPECIES FROM THE AMAZON FOREST |
spellingShingle |
COLORIMETRIC CHARACTERIZATION OF THREE WOOD SPECIES FROM THE AMAZON FOREST Barros, Sâmia Valéria dos Santos Amazon wood colorimetry spectroscopy color CIELAB system wood color. |
title_short |
COLORIMETRIC CHARACTERIZATION OF THREE WOOD SPECIES FROM THE AMAZON FOREST |
title_full |
COLORIMETRIC CHARACTERIZATION OF THREE WOOD SPECIES FROM THE AMAZON FOREST |
title_fullStr |
COLORIMETRIC CHARACTERIZATION OF THREE WOOD SPECIES FROM THE AMAZON FOREST |
title_full_unstemmed |
COLORIMETRIC CHARACTERIZATION OF THREE WOOD SPECIES FROM THE AMAZON FOREST |
title_sort |
COLORIMETRIC CHARACTERIZATION OF THREE WOOD SPECIES FROM THE AMAZON FOREST |
author |
Barros, Sâmia Valéria dos Santos |
author_facet |
Barros, Sâmia Valéria dos Santos Muniz, Graciela Inês Bolzon de Matos, Jorge Luís Monteiro de |
author_role |
author |
author2 |
Muniz, Graciela Inês Bolzon de Matos, Jorge Luís Monteiro de |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Barros, Sâmia Valéria dos Santos Muniz, Graciela Inês Bolzon de Matos, Jorge Luís Monteiro de |
dc.subject.por.fl_str_mv |
Amazon wood colorimetry spectroscopy color CIELAB system wood color. |
topic |
Amazon wood colorimetry spectroscopy color CIELAB system wood color. |
description |
The aim of this study was to analyze wood color variability in the (radial, tangential and transversal) anatomic sections of Breu-vermelho, Tauari-vermelho and Pequiarana species through quantitative colorimetry using CIELAB color system. Such species come from a forest sustainable area of Thousand Precious Woods Company, located in Itacoatiara in the Amazon region of Brazil. Five wood samples from each species were selected so as to determine the following colorimetric parameters: L*, a*, b*, C e h*. In addition, 225 measurements were carried out with Konica Minolta CM-5 spectrophotometer connected to the computer. Results pointed out to statistical differences in the colorimetric parameters and also a low saturation in a* in the analyzed species. According to the cluster gathering, Breu-vermelho wood presents olive and/or grayish pink color, Tauari-vermelho is pinkish-gray and Pequiarana is grayish-pink and/ or pinkish-gray. Such species presented differences in color among the three anatomic sections cited above and were also influenced by the yellow color defined in b* parameter. To summarize, colorimetric analysis to establish wood color is a simple procedure which may be used from the sawing of the logs until their final exploitation enabling value aggregation to the final product. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-04-06 |
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://cerne.ufla.br/site/index.php/CERNE/article/view/994 |
url |
https://cerne.ufla.br/site/index.php/CERNE/article/view/994 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://cerne.ufla.br/site/index.php/CERNE/article/view/994/767 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2016 CERNE info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2016 CERNE |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
CERNE CERNE |
publisher.none.fl_str_mv |
CERNE CERNE |
dc.source.none.fl_str_mv |
CERNE; Vol. 20 No. 3 (2014); 337-342 CERNE; v. 20 n. 3 (2014); 337-342 2317-6342 0104-7760 reponame:Cerne (Online) instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Cerne (Online) |
collection |
Cerne (Online) |
repository.name.fl_str_mv |
Cerne (Online) - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
cerne@dcf.ufla.br||cerne@dcf.ufla.br |
_version_ |
1799874942390501376 |