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Registro Completo
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
18/01/2011 |
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Data da última atualização: |
29/01/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
PASTORE, T. C. M.; BRAGA, J. W. B.; CORADIN, V. T. R.; MAGALHAES, W. L. E.; OKINO, E. Y. A.; CAMARGOS, J. A. A.; BOLZON DE MUÑIZ, G. I.; BRESSAN, O. A.; DAVRIEUX, F. |
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Afiliação: |
Tereza Cristina Monteiro Pastore, Serviço Florestal Brasileiro; Jez Willian Batista Braga, UnB; Vera Terezinha Rauber Coradin, Serviço Florestal Brasileiro; WASHINGTON LUIZ ESTEVES MAGALHAES, CNPF; Esmeralda Yoshico Arakaki Okino, Serviço Florestal Brasileiro; José Arlete Alves Camargos, Serviço Florestal Brasileiro; Graciela Inês Bolzon de Muñiz, UFPR; Otávio Augusto Bressan, UFPR; Fabrice Davrieux, CIRAD-UMR. |
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Título: |
Near infrared spectroscopy (NIRS) as a potential tool for monitoring trade of similar woods: discrimination of true mahogany, cedar, andiroba, and curupixa. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
Holzforschung, v. 65, p. 73-80, 2011. |
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DOI: |
10.1515/HF.2011.010 |
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Idioma: |
Inglês |
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Conteúdo: |
Mahogany is one of the most valuable woods and was widely used until it was included in Appendix II of the Convention on International Trade in Endangered Species as endangered species. Mahogany wood sometimes is traded under different names. Also, some similar woods belonging to the Meliaceae family are traded as ??mahogany?? or as being of a ??mahogany pattern??. To investigate the feasibility of the use of near infrared spectroscopy for wood discrimination, the mahogany (Swietenia macrophylla King.), andiroba or crabwood (Carapa guianensis Aubl.), cedar (Cedrela odorata L.), and curupixa´ (Micropholis melinoniana Pierre) woods were examined. Four discrimination models based on partial least squares-discriminant analysis were developed based on a calibration set composed of 88 samples and a test set with 44 samples. Each model corresponds to the discrimination of a wood species from the others. Optimization of the model was performed by means of the OPUS software followed by statistical analysis software (Matlab). The observed root mean square errors of predictions were 0.14, 0.09, 0.12, and 0.06 for discriminations of mahogany, cedar, andiroba, and curupixa´, respectively. The separations of the species obtained based on the difference in the predicted values was at least 0.38. This makes it possible to perform safe discriminations with a very low probability of misclassifying a sample. This method can be considered accurate and fast. |
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Palavras-Chave: |
Cedar; Curupixa; Discriminação; Discrimination of woods; Espectroscopia; Infravermelho próximo; Madeira tropical; Micropholis melinoniana; Near infrared (NIR) spectroscopy; NIR; Tropical woods. |
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Thesagro: |
Andiroba; Carapa Guianensis; Cedrela Odorata; Mogno; Swietenia Macrophylla. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02730naa a2200421 a 4500
001 1873393
005 2018-01-29
008 2011 bl uuuu u00u1 u #d
024 7 $a10.1515/HF.2011.010$2DOI
100 1 $aPASTORE, T. C. M.
245 $aNear infrared spectroscopy (NIRS) as a potential tool for monitoring trade of similar woods$bdiscrimination of true mahogany, cedar, andiroba, and curupixa.$h[electronic resource]
260 $c2011
520 $aMahogany is one of the most valuable woods and was widely used until it was included in Appendix II of the Convention on International Trade in Endangered Species as endangered species. Mahogany wood sometimes is traded under different names. Also, some similar woods belonging to the Meliaceae family are traded as ??mahogany?? or as being of a ??mahogany pattern??. To investigate the feasibility of the use of near infrared spectroscopy for wood discrimination, the mahogany (Swietenia macrophylla King.), andiroba or crabwood (Carapa guianensis Aubl.), cedar (Cedrela odorata L.), and curupixa´ (Micropholis melinoniana Pierre) woods were examined. Four discrimination models based on partial least squares-discriminant analysis were developed based on a calibration set composed of 88 samples and a test set with 44 samples. Each model corresponds to the discrimination of a wood species from the others. Optimization of the model was performed by means of the OPUS software followed by statistical analysis software (Matlab). The observed root mean square errors of predictions were 0.14, 0.09, 0.12, and 0.06 for discriminations of mahogany, cedar, andiroba, and curupixa´, respectively. The separations of the species obtained based on the difference in the predicted values was at least 0.38. This makes it possible to perform safe discriminations with a very low probability of misclassifying a sample. This method can be considered accurate and fast.
650 $aAndiroba
650 $aCarapa Guianensis
650 $aCedrela Odorata
650 $aMogno
650 $aSwietenia Macrophylla
653 $aCedar
653 $aCurupixa
653 $aDiscriminação
653 $aDiscrimination of woods
653 $aEspectroscopia
653 $aInfravermelho próximo
653 $aMadeira tropical
653 $aMicropholis melinoniana
653 $aNear infrared (NIR) spectroscopy
653 $aNIR
653 $aTropical woods
700 1 $aBRAGA, J. W. B.
700 1 $aCORADIN, V. T. R.
700 1 $aMAGALHAES, W. L. E.
700 1 $aOKINO, E. Y. A.
700 1 $aCAMARGOS, J. A. A.
700 1 $aBOLZON DE MUÑIZ, G. I.
700 1 $aBRESSAN, O. A.
700 1 $aDAVRIEUX, F.
773 $tHolzforschung$gv. 65, p. 73-80, 2011.
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