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

Seung Hyun Kim; Dae Hyun Kim; Jin Ho Park; Eun Jung Choi; Sunghyouk Park; Ki Yong Lee; Min Ji Jeon; Young Choong Kim; Sang Hyun Sung

doi:10.1016/j.microc.2009.09.013

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

Seung Hyun Kim, Dae Hyun Kim, Jin Ho Park, Eun Jung Choi, Sunghyouk Park, Ki Yong Lee, Min Ji Jeon, Young Choong Kim, Sang Hyun Sung

Department of Pharmacy

Research output: Contribution to journal › Article

5 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	118-124
Number of pages	7
Journal	Microchemical Journal
Volume	94
Issue number	2
DOIs	https://doi.org/10.1016/j.microc.2009.09.013
Publication status	Published - 2010 Mar 1

All Science Journal Classification (ASJC) codes

Analytical Chemistry
Spectroscopy

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10.1016/j.microc.2009.09.013

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Kim, S. H., Kim, D. H., Park, J. H., Choi, E. J., Park, S., Lee, K. Y., Jeon, M. J., Kim, Y. C., & Sung, S. H. (2010). Discrimination of Scrophularia spp. according to geographic origin with HPLC-DAD combined with multivariate analysis. Microchemical Journal, 94(2), 118-124. https://doi.org/10.1016/j.microc.2009.09.013

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abstract = "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.",

author = "Kim, {Seung Hyun} and Kim, {Dae Hyun} and Park, {Jin Ho} and Choi, {Eun Jung} and Sunghyouk Park and Lee, {Ki Yong} and Jeon, {Min Ji} and Kim, {Young Choong} and Sung, {Sang Hyun}",

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

In: Microchemical Journal, Vol. 94, No. 2, 01.03.2010, p. 118-124.

Research output: Contribution to journal › Article

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AB - 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.

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