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Geographical Origin Identification for Tetrastigma Hemsleyanum Based on High Performance Liquid Chromatographic Fingerprint

机译：基于高效液相色谱指纹图谱的四叶草地理起源鉴定

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摘要

Rare Chinese herbal medicine, Tetrastigma Hemsleyanum Diels et Gilg(T. hemsleyanum), has good medicinal value. However, the quality of T. hemsleyanum varies greatly from different origins. In order to prevent T. hemsleyanum from being inferior, the origin identification is particularly important. In this paper, the feasibility of a rapid identification of different origins for T. hemsleyanum using High performance liquid chromatographic (HPLC) fingerprint system was investigated. Twenty-three chromatographic peaks were identified as characteristic fingerprint peaks of T. hemsleyanum. Then, combining principal component analysis (PCA) and Adaboost method with logistic regression (Adaboost -LR) as weak classifier, the origin identification model is established. Experiments show that the correct rate of origin identification can reach 100% with the combination of HPLC fingerprint and the proposed identification model. Hence, HPLC fingerprint with Adaboost-LR is effective and feasible to discriminate the geographical origin of T. hemsleyanum.
机译：稀有的中草药四合木（Tetrastigma Hemsleyanum Diels et Gilg）具有很好的药用价值。但是，来自不同产地的T. hemsleyanum的质量差异很大。为了防止T.hemsleyanum劣等，起源鉴定特别重要。在本文中，研究了使用高效液相色谱（HPLC）指纹系统快速鉴定不同来源的棉铃虫的可行性。二十三个色谱峰被鉴定为T. hemsleyanum的特征指纹峰。然后，将主成分分析（PCA）和Adaboost方法与逻辑回归（Adaboost -LR）作为弱分类器相结合，建立了原产地识别模型。实验表明，结合HPLC指纹图谱和提出的识别模型，正确的原产地识别率可以达到100％。因此，使用Adaboost-LR进行HPLC指纹图谱鉴别T. hemsleyanum的地理起源是有效和可行的。

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