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Near infrared spectroscopy (NIRS) as a potential tool for monitoring trade of similar woods: Discrimination of true mahogany, cedar, andiroba, and curupixa

Pastore Monteiro Tereza Cristina, Batista Braga Jez Willian, Rauber Coradin Vera Teresinha, Magalhães Washington Luiz Esteves, Arakaki Okino Esmeralda Yoshico, Alves Camargos José Arlete, Bonzon de Muñiz Graciela Ines, Bressan Otávio Augusto, Davrieux Fabrice. 2011. Near infrared spectroscopy (NIRS) as a potential tool for monitoring trade of similar woods: Discrimination of true mahogany, cedar, andiroba, and curupixa. Holzforschung, 65 (1) : pp. 73-80.

Journal article ; Article de revue à facteur d'impact
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Quartile : Q1, Sujet : MATERIALS SCIENCE, PAPER & WOOD / Quartile : Q1, Sujet : FORESTRY

Abstract : 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. (Résumé d'auteur)

Mots-clés Agrovoc : Bois, Identification, Spectroscopie infrarouge, Anatomie végétale, Cedrela odorata, Swietenia macrophylla, Bois tropical

Mots-clés géographiques Agrovoc : Brésil

Mots-clés complémentaires : Carapa guianensis, Micropholis melinoniana

Classification Agris : K50 - Processing of forest products
U40 - Surveying methods
F50 - Plant structure

Champ stratégique Cirad : Hors axes (2005-2013)

Auteurs et affiliations

  • Pastore Monteiro Tereza Cristina, UNB [Universidade de Brasilia] (BRA)
  • Batista Braga Jez Willian, UNB [Universidade de Brasilia] (BRA)
  • Rauber Coradin Vera Teresinha, UNB [Universidade de Brasilia] (BRA)
  • Magalhães Washington Luiz Esteves, EMBRAPA (BRA)
  • Arakaki Okino Esmeralda Yoshico, UNB [Universidade de Brasilia] (BRA)
  • Alves Camargos José Arlete, UNB [Universidade de Brasilia] (BRA)
  • Bonzon de Muñiz Graciela Ines, UFPR (BRA)
  • Bressan Otávio Augusto, UFPR (BRA)
  • Davrieux Fabrice, CIRAD-PERSYST-UMR Qualisud (FRA)

Source : Cirad - Agritrop (https://agritrop.cirad.fr/567606/)

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