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|Type:||Artigo de periódico|
|Title:||The use of principal component analysis (PCA) for pattern recognition in Eucalyptus grandis wood biodegradation experiments|
|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.|
principal component analysis
|Editor:||Kluwer Academic Publ|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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