| 引用本文: | 林昕,王丽,邵金良,刘祥义,刘宏程.不同产区天麻HPLC指纹图谱研究[J].中国现代应用药学,2020,37(13):1543-1549. |
| LIN Xin,WANG Li,SHAO Jinliang,LIU Xiangyi,LIU Hongcheng.Study on HPLC Fingerprint of Gastrodia Elata Bl. from Different Origins[J].Chin J Mod Appl Pharm(中国现代应用药学),2020,37(13):1543-1549. |
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| 不同产区天麻HPLC指纹图谱研究 |
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林昕1,2,3, 王丽1, 邵金良1, 刘祥义3, 刘宏程1,2
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1.云南省农业科学研究院质量标准与检测技术研究所, 昆明 650223;2.农业农村部农产品质量安全风险评估实验室, 昆明 650223;3.西南林业大学天麻研究院, 昆明 650224
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| 摘要: |
| 目的 通过构建天麻Gastrodia elata Bl.的化学成分HPLC指纹图谱，结合多元统计方法等对不同产区天麻进行比对，为天麻产地鉴别和道地性提供科学依据。方法 采用HPLC测定不同产区天麻的化学成分指纹图谱，Shiseido CAPCELL PAK MGⅡC18色谱柱（250 mm×4.6 mm，5.0 mm），柱温30℃，以甲醇-0.05%磷酸水溶液为流动相，梯度洗脱，分析时间35 min，流速1.0 mL·min-1，进样量10 mL，检测波长220 nm。共计检测79份不同产地的天麻样品。采用中药色谱指纹图谱相似度评价系统软件（2012版）进行指纹图谱信息统计内含成分峰面积，利用SPSS 23.0统计软件进行主成分分析和聚类分析。结果 不同产地的天麻样品具有良好的一致性，通过构建天麻HPLC指纹图谱，采用主成分分析和聚类分析可以将天麻样品分别划分为云南产天麻和非云南产天麻。结论 可利用指纹图谱技术对天麻产地进行鉴别，为天麻的道地性研究提供科学依据。 |
| 关键词: 天麻 高效液相色谱法 指纹图谱 主成分分析 聚类分析 |
| DOI：10.13748/j.cnki.issn1007-7693.2020.13.002 |
| 分类号:R965.1 |
| 基金项目:国家重点研发计划（2016YFF0201806） |
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| Study on HPLC Fingerprint of Gastrodia Elata Bl. from Different Origins |
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LIN Xin1,2,3, WANG Li1, SHAO Jinliang1, LIU Xiangyi3, LIU Hongcheng1,2
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1.Institute of Quality Standards and Testing Technology, Yunnan Academy of Agricultural Sciences, Kunming 650223, China;2.Laboratory of Quality and Safety Risk Assessment for Agro-products(Kunming), Ministry of Agriculture, Kunming 650223, China;3.Research Institute of Gastrodiae Elata, Southwest Forestry University, Kunming 650224, China
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| Abstract: |
| OBJECTIVE To provide a scientific basis for the identification and authenticity of Gastrodia elata B1., by constructing a HPLC fingerprint of the chemical components of Gastrodia elata B1., combining with multivariate statistical methods to compare Gastrodia elata B1. from different origins. METHODS HPLC was developed for the determination of chemical fingerprint of Gastrodia elata in different regions. Shiseido CAPCELL PAK Ⅱ MG C18 chromatographic column (250 mm×4.6 mm, 5.0 mm) was used with column temperature 30℃, methanol-0.05% phosphoric acid aqueous solution as mobile phase, gradient elution and analysis time 35 min, velocity 1.00 mL·min-1, sample quantity 10 mL, detection wavelength 220 nm. The 79 Gastrodia elata samples from different origins were tested. Similarity evaluation system software(2012 edition) was used for fingerprint information statistics of contained component peak area, and SPSS 23.0 statistical software was used for principal component analysis and cluster analysis. RESULTS Gastrodia elata samples from different producing areas had good consistency. By constructing the HPLC fingerprint of Gastrodia elata, principal component analysis and cluster analysis, the samples of Gastrodia elata could be divided into Yunnan and non-Yunnan Gastrodia elata. CONCLUSION The results showed that the fingerprint technique could provide scientific basis for the identification of Gastrodia elata origin and the authenticity of Gastrodia elata. |
| Key words: Gastrodia elata Bl. HPLC fingerprint principal component analysis cluster analysis |
