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KMID : 1145720140020020049
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Korean Herbal Medicine Informatics
2014 Volume.2 No. 2 p.49 ~ p.56
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Prediction and Discrimination of Cultivation Origin of Pinellia Tubers Using FT-IR Spectroscopy Combined by Multivariate Analysis
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Ahn Myung-Suk
Jie Eun-Yee
Min Sung-Ran
Moon Byeong-Cheol
Kang Young-Min
Kim Suk-Weon
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Abstract
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To determine whether pattern recognition based on metabolite fingerprinting for whole cell extracts can be used to discriminate cultivation origin metabolically, eight Pinellia tubers (Pinellia ternata) were subjected to Fourier transform infrared spectroscopy (FT-IR). FT-IR spectral data from Pinellia tubers were analyzed by principal component analysis (PCA) and partial least square discriminant analysis (PLS-DA). The dendrogram based on hierarchical clustering analysis of these PCA and PLS-DA data on Pinellia tubers showed that tuber samples were segregated into Chinese and Korean Pinellia in a cultivation origin-dependent manner. Thus we suggested that the hierarchical dendrogram based on PCA and PLS-DA of FT-IR spectral data from tubers represented the most probable chemical relationship between Pinellia tubers. The overall prediction accuracy for discrimination of cultivation origin was 100% in a cross-validation test. These results clearly show that the FT-IR spectra combined with multivariate analysis from Pinellia tubers can be applied as an alternative tool for discriminating of cultivation origin. Furthermore these metabolic discrimination systems could be applied for standardization for herbal medicine resources.
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KEYWORD
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Fourier transformation ? infrared spectroscopy(FT-IR), Pinellia ternata, Partial least square discriminant analysis(PLS-DA), Principal component analysis(PCA), cultivation origin
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