Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/241591
Type: Artigo de periódico
Title: Near Infrared Hyperspectral Imaging And Mcr-als Applied For Mapping Chemical Composition Of The Wood Specie Swietenia Macrophylla King (mahogany) At Microscopic Level
Author: Colares
Carla J. G.; Pastore
Tereza C. M.; Coradin
Vera T. R.; Marques
Luiz F.; Moreira
Alessandro C. O.; Alexandrino
Guilherme L.; Poppi
Ronei J.; Braga
Jez W. B.
Abstract: Near infrared (NIR) spectroscopy offers an efficient method for the characterization of solid wood. Nowadays, it is particularly relevant to the development of new methods that allow the determination of chemical composition in wood at the microscopic level, in order to enable the estimation of the distribution of the main chemical components at the mapped area. In this work, NIR hyperspectral imaging was applied for the determination of the distribution of holocellulose (cellulose hemicellulose), lignin and extractives at the three grown directions (tangential, transversal and radial) of the specie Swietenia macrophylla King (Mahogany). The concentration maps were obtained by applying multivariate curve resolution-alternating least squares (MCR-ALS). NIR spectra recovered by MCR-ALS for cellulose, lignin and extractives showed band signals that agreed with the ones observed in reference spectra or in the literature. The mapped area presented different anatomical structures, which makes possible to observe the distributions of holocellulose, lignin and extractives in these different structures. The concentration maps for holocellulose showed that the fibers and the vascular line are the anatomical structures with the highest concentrations of this compound, which concentration varied from 30 to 91% (w/w). The concentration maps for extractives and lignin also showed high concentrations in vascular line, while rays showed the lowest concentrations. Considering the mapped area, lignin and extractives presented relative concentrations varying from 16 to 53% (w/w) and 1 to 16% (w/w), respectively. It was observed that the estimated concentrations in the maps agreed with the anatomic functions of the structures observed in the images. (C) 2015 Elsevier B.V. All rights reserved.
Subject: Multivariate Curve Resolution
Modeling Mixture Analysis
Cites Appendix Ii
Spectroscopy
Lignin
Tool
Nir
Quantification
Components
Country: AMSTERDAM
Editor: ELSEVIER SCIENCE BV
Rights: embargo
Identifier DOI: 10.1016/j.microc.2015.09.022
Address: http://www.sciencedirect.com/science/article/pii/S0026265X15002234
Date Issue: 2016
Appears in Collections:Unicamp - Artigos e Outros Documentos

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