Applying colorimetry for wood differentiation of fabaceae species grown in southern Brazil



Título del documento: Applying colorimetry for wood differentiation of fabaceae species grown in southern Brazil
Revista: Maderas : ciencia y tecnología
Base de datos:
Número de sistema: 000544832
ISSN: 0718-221X
Autores: 1
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Instituciones: 1Federal University of Parana, Curitiba, Paraná. Brasil
2University of Santa Catarina State, Department of Forest Engineering, Lages, Santa Catarina. Brasil
3Federal University of Parana, Department of Forest Engineering and Technology, Curitiba, Paraná. Brasil
Año:
Volumen: 24
País: Chile
Idioma: Inglés
Resumen en inglés Because of the need for identification of forest species, especially for detection of illegal wood trade, the objective of this study was to evaluate the potential of colorimetry for differentiation of Inga vera Willd., Muellera campestris (Mart. ex Benth.) M.J. Silva & A.M.G. Azevedo and Machaerium paraguariense Hassl., species of the Fabaceae family, native to the Araucaria Forest in the state of Santa Catarina, southern Brazil. Discs at breast height were collected from three trees of each species and the colorimetric parameters (L*, a*, b*, C* and h) and visible spectra were evaluated in different radial position of the trunk (near bark, intermediate and near pith) and three different anatomical sections (transversal, radial and tangential surfaces). Mean values of hue angle (h) among the colorimetric parameters resulted in the highest potential for species discrimination. With respect to radial trunk position and anatomical section, parameters a* (green-red) and h were not statistically different, independent of the wood samples evaluated. For other parameters (L*, b* and C*), each species presented distinct results. Principal component analysis with second derivative of visible spectra discriminated all species. Colorimetry associated with chemometrics allowed to distinguish I. vera, M. campestris and M. paraguariense.
Keyword: Araucaria forest,
Colorimetric parameters,
Species differentiation,
Trade control,
Wood color.
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