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采用 UPLC-QTOF-MS 结合主成分分析鉴定鹿茸及其混伪品。

Identification of velvet antler and its mixed varieties by UPLC-QTOF-MS combined with principal component analysis.

机构信息

Research and Inspection Center of Traditional Chinese Medicine and Ethnomedicine, National Institutes for Food and Drug Control, State Food and Drug Administration, 2 Tiantan Xili, Beijing, 100050, China.

Research and Inspection Center of Traditional Chinese Medicine and Ethnomedicine, National Institutes for Food and Drug Control, State Food and Drug Administration, 2 Tiantan Xili, Beijing, 100050, China.

出版信息

J Pharm Biomed Anal. 2019 Feb 20;165:18-23. doi: 10.1016/j.jpba.2018.10.009. Epub 2018 Oct 4.

Abstract

Many species of velvet antler have been used as traditional medicine for thousands of years; however, as medicinal materials, velvet antler derived from different animals have different clinical effects. To distinguish the differences and homologies, ultra-performance liquid chromatography-quadruple-time of flight mass spectrometry (UPLC-QTOF-MS) coupled with principal component analysis (PCA) was developed and applied to identify these antler samples derived from Cervus nippon Temminck, Cervus elaphus Linnaeus and Rangifer tarandus Linnaeus, which were first tested and compared at the molecular level of protein. The UPLC-MS data of the trypsin digested samples were subjected to PCA, and the potential markers based on peptide were depicted to illustrate their differences. With the integrated strategy combining UPLC-QTOF-MS with PCA, the results from this study indicated that the proposed methods could be successfully applied to distinguish reindeer antler from sika deer antler and red deer antler, which were prescribed in the Chinese Pharmacopoeia (2015 edition).

摘要

许多种鹿茸已被用作传统医学几千年;然而,作为药材,来源于不同动物的鹿茸具有不同的临床效果。为了区分差异和同源性,采用超高效液相色谱-四级杆飞行时间质谱联用技术(UPLC-QTOF-MS)结合主成分分析(PCA),首次对来源于梅花鹿 Cervus nippon Temminck、马鹿 Cervus elaphus Linnaeus 和驯鹿 Rangifer tarandus Linnaeus 的鹿茸样品进行了分子水平的蛋白质检测和比较。对胰蛋白酶消化样品的 UPLC-MS 数据进行 PCA 分析,描绘基于肽的潜在标记物以说明它们的差异。通过将 UPLC-QTOF-MS 与 PCA 相结合的综合策略,本研究结果表明,该方法可成功应用于区分中国药典(2015 年版)中规定的鹿茸与梅花鹿鹿茸和马鹿茸。

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