Discrimination of Scrophularia spp. according to geographic origin with HPLC-DAD combined with multivariate analysis

Discrimination of Scrophularia spp. according to the geographic origin was tried in the present study using HPLC-DAD combined with multivariate analysis techniques. Five active constituents, angoroside C, harpagoside, 8- O-( E- p-methoxycinnamoyl)harpagide, E-cinnamic acid and E- p-methoxycinnamic a...

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Bibliographic Details
Published in:Microchemical journal 2010-03, Vol.94 (2), p.118-124
Main Authors: Kim, Seung Hyun, Kim, Dae Hyun, Park, Jin-Ho, Choi, Eun Jung, Park, Sunghyouk, Lee, Ki Yong, Jeon, Min-Ji, Kim, Young Choong, Sung, Sang Hyun
Format: Article
Language:English
Subjects:
HPLC-DAD
Partial least squares-discrimination analysis
Principal component analysis
Scrophularia spp
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Summary:Discrimination of Scrophularia spp. according to the geographic origin was tried in the present study using HPLC-DAD combined with multivariate analysis techniques. Five active constituents, angoroside C, harpagoside, 8- O-( E- p-methoxycinnamoyl)harpagide, E-cinnamic acid and E- p-methoxycinnamic acid, in forty four Scrophularia samples were simultaneously determined using HPLC-DAD. A principal component analysis of the content measurements clustered the samples according to their geographic origins, Andong, Uisung and China. A partial least squares-discrimination analysis was subsequently developed for the effective classification of the samples. This model showed comparatively good prediction ability for samples from Andong or China. The proposed method shows an efficient strategy for quality control of Scrophularia spp.
ISSN:0026-265X
1095-9149
DOI:10.1016/j.microc.2009.09.013