Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/72614
Type: Artigo de periódico
Title: The use of principal component analysis (PCA) for pattern recognition in Eucalyptus grandis wood biodegradation experiments
Author: Ferraz, A
Esposito, E
Bruns, RE
Duran, N
Abstract: Eucalyptus grandis wood was biodegraded by eight basidiomycetes and two ascomycetes. Four groups of decayed wood samples were recognized based on the principal component analysis (PCA) of weight and component loss data. Among the 10 fungal species studied, no selective lignin biodegradation was achieved. PCA was very efficient in recognizing wood decay patterns and seems to be a useful tool to analyse large group of weight- and component-loss data.
Subject: ascomycete
basidiomycete
Eucalyptus grandis
principal component analysis
wood biodegradation
Country: Holanda
Editor: Kluwer Academic Publ
Rights: fechado
Identifier DOI: 10.1023/A:1008875730177
Date Issue: 1998
Appears in Collections:Unicamp - Artigos e Outros Documentos

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