Skip navigation
Please use this identifier to cite or link to this item: https://repositorio.unb.br/handle/10482/29566
Files in This Item:
File SizeFormat 
ARTIGO_DiscriminacaoMadeirasSimilares.pdf2,04 MBAdobe PDFView/Open
Title: Discriminação de madeiras similares por fluorescência molecular e mínimos quadrados parciais
Other Titles: Discrimination between similar woods by molecular fluorescence and partial least squares
Authors: Oliveira, Elian Meneses
Braga, Jez Willian Batista
Costa, Alexandre Florian da
Assunto:: Fluorescência
Madeira
Issue Date: Nov-2015
Publisher: Sociedade Brasileira de Química
Citation: OLIVEIRA, Elian Meneses; BRAGA, Jez Willian Batista; COSTA, Alexandre Florian da. Discriminação de madeiras similares por fluorescência molecular e mínimos quadrados parciais. Química Nova, São Paulo, v. 38, n. 9, p. 1176-1180, nov. 2015. Disponível em: <http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422015000901176&lng=en&nrm=iso>. Acesso em: 7 maio 2018. doi: http://dx.doi.org/10.5935/0100-4042.20150127.
Abstract: Wood is an extremely complex biological material, which can show macroscopic similarities that make it difficult to discriminate between species. Discrimination between similar wood species can be achieved by either anatomic or instrumental methods, such as near infrared spectroscopy (NIR). Although different spectroscopy methods are currently available, few studies have applied them to discriminate between wood species. In this study, we applied a partial least squares-discriminant analysis (PLS-DA) model to evaluate the viability of using direct fluorescence measurements for discriminating between Eucalyptus grandis, Eucalyptus urograndis, and Cedrela odorata. The results show that molecular fluorescence is an efficient technique for discriminating between these visually similar wood species. With respect to calibration and the validation samples, we observed no misclassifications or outliers.
Licença:: Química Nova - This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY NC 4.0). Fonte: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422015000901176&lng=en&nrm=iso. Acesso em: 7 maio 2018.
DOI: http://dx.doi.org/10.5935/0100-4042.20150127
Appears in Collections:EFL - Artigos publicados em periódicos
IQ - Artigos publicados em periódicos

Show full item record Recommend this item " class="statisticsLink btn btn-primary" href="/handle/10482/29566/statistics">



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.