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Title: Exploratory analysis of the distribution of lignin and cellulose in woods by raman imaging and chemometrics
Authors: Colares, Carla Jovania Gomes
Pastore, Tereza Cristina Monteiro
Coradin, Vera Teresinha Rauber
Camargos, José Arlete Alves
Moreira, Alessandro Cézar de Oliveira
Rubim, Joel Camargo
Braga, Jez Willian Batista
Assunto:: Espectroscopia
Issue Date: Jun-2015
Publisher: Sociedade Brasileira de Química
Citation: COLARES, Carla Jovania Gomes et al. Exploratory analysis of the distribution of lignin and cellulose in woods by raman imaging and chemometrics. Journal of the Brazilian Chemical Society, São Paulo, v. 26, n. 6, p. 1297-1305, jun. 2015. Disponível em: <>. Acesso em: 16 abr. 2018. doi:
Abstract: The determinations of cellulose and lignin are important in wood analysis from both perspectives: chemistry composition, commercial and industrial application of woods. In this context, Raman image spectroscopy was applied in the determination of cellulose and lignin distribution in wood surfaces of Swietenia macrophylla King (Mahogany) and Eucalyptus hybrid (E. urophylla × E. camaldulensis). The relative concentration maps were obtained by applying a multivariate curve resolution procedure. The estimated Raman spectra for cellulose and lignin agrees with the ones available in the literature. The cellulose concentration maps showed similar variations for both studied species with an average value of nearly 85% as obtained by the reference method. The lignin concentration maps were somewhat different. The Eucalyptus hybrid presents a broader distribution (20 to 45%) while for Mahogany it is nearly constant, around 25%, with localized regions presenting contents of 45 to 65% of lignin. The reference method showed that the mean lignin content of both species is 27%. The cellulose and lignin concentration maps agree with the biological functions of the anatomic structures observed in the images.
Licença:: Journal of the Brazilian Chemical Society - This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License which permits unrestricted non-commercial use, distribution, and reproduction in any medium provided the original work is properly cited (CC BY NC 4.0). Fonte: Acesso em: 16 abr. 2018.
Appears in Collections:IQ - Artigos publicados em periódicos

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