Scent analysis of Rosa laevigata through metal oxide sensor array electronic nose
Rev. bras. farmacogn
;
21(6): 1150-1154, Nov.-Dec. 2011. ilus
Artigo
em Inglês
| LILACS
| ID: lil-602290
ABSTRACT
The scent fingerprint of Rosa laevigata Michx., Rosaceae, samples harvested at different periods was investigated. Principal component analysis (PCA) and discriminant factor analysis (DFA) were done on the scent response values measured by an electronic nose (EN) sensor. Statistical quality control (SQC) analysis was also conducted. The R. laevigata samples were clustered into two categories after being analyzed by PCA and DFA. One cluster consisted of samples No. 1 to No. 6, and the other consisted of samples No. 7 to No. 10. The combination of EN, PCA, and DFA for scent analysis can be used for the quality control of traditional Chinese medicines.
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Índice:
LILACS (Américas)
Idioma:
Inglês
Revista:
Rev. bras. farmacogn
Assunto da revista:
Farmácia
Ano de publicação:
2011
Tipo de documento:
Artigo
/
Documento de projeto
País de afiliação:
China
Instituição/País de afiliação:
Jiangnan University/CN
/
Research Center of Plant Cell Engineering of Anhui Province/CN
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