Chemosystematic studies of natural compounds isolated from Asteraceae: characterization of tribes by principal component analysis


Autoria(s): Alvarenga, SAV; Ferreira, MJP; Emerenciano, V. P.; Cabrol-Bass, D.
Contribuinte(s)

Universidade Estadual Paulista (UNESP)

Data(s)

20/05/2014

20/05/2014

16/04/2001

Resumo

This work describes an application of principal component analysis (PCA) on a database of secondary metabolites from the Asteraceae family. The numbers of occurrences of metabolites in 11 chemical classes for the different vibes of the family were used as variables, PCA allows the identification of chemical classes that contribute most to the subgroups classification within the family. Relationships between chemical composition and botanical classification were made. (C) 2001 Elsevier B.V. B.V. All rights reserved.

Formato

27-37

Identificador

http://dx.doi.org/10.1016/S0169-7439(01)00103-4

Chemometrics and Intelligent Laboratory Systems. Amsterdam: Elsevier B.V., v. 56, n. 1, p. 27-37, 2001.

0169-7439

http://hdl.handle.net/11449/32491

10.1016/S0169-7439(01)00103-4

WOS:000168000300003

Idioma(s)

eng

Publicador

Elsevier B.V.

Relação

Chemometrics and Intelligent Laboratory Systems

Direitos

closedAccess

Palavras-Chave #metabolites #botanical classification #family
Tipo

info:eu-repo/semantics/article