| 基于化学计量学方法结合正交偏最小二乘判别分析的陈皮饮片HPLC指纹图谱研究 |
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| 引用本文： | 周欣,张琳,毛婵,康希,曲彤,王云红,杨荣平. 基于化学计量学方法结合正交偏最小二乘判别分析的陈皮饮片HPLC指纹图谱研究[J]. 中草药, 2019, 50(9): 2194-2200 |
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| 作者姓名： | 周欣 张琳 毛婵 康希 曲彤 王云红 杨荣平 |
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| 作者单位： | 西南大学药学院, 重庆 400715,成都中医药大学药学院, 四川 成都 611137,西南大学药学院, 重庆 400715,成都中医药大学药学院, 四川 成都 611137,陕西中医药大学, 陕西 咸阳 712083,重庆市中药研究院, 重庆 400065,西南大学药学院, 重庆 400715 |
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| 基金项目： | 国家中药标准化项目（ZYBZH-Y-CQ-46） |
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| 摘 要： | 目的建立陈皮饮片HPLC指纹图谱分析方法,为其质量控制提供技术参考。方法采用HPLC法建立17批陈皮饮片的指纹图谱,通过聚类分析(clusteranalysis,CA)、主成分分析(principalcomponentanalysis,PCA)、正交偏最小二乘判别分析(orthogonal partial least square discrimina te analysis,OPLS-DA)对指纹图谱进行评价。结果建立了陈皮饮片指纹图谱,相似度均0.9,确定了25个共有峰,其中14个峰的变量投影重要性(variableimportance projection,VIP)均1,通过与对照品谱图比对,确定了13号峰为芸香柚皮苷、14号峰为橙皮苷、23号峰为川陈皮素、24号峰为3,5,6,7,8,3′,4′-七甲氧基黄酮、25号峰为桔皮素。结论该方法简单可靠,可用于陈皮饮片鉴别和质量控制。
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| 关 键 词： | 陈皮饮片 指纹图谱 聚类分析 主成分分析 正交偏最小二乘判别分析 芸香柚皮苷 橙皮苷 川陈皮素 桔皮素 |
| 收稿时间： | 2018-11-29 |
HPLC fingerprints research on decoction pieces of Citri Reticulatae Pericarpium based on chemometrics methods combined with orthogonal partial least square discriminate analysis |
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| ZHOU Xin,ZHANG Lin,MAO Chan,KANG Xi,QU Tong,WANG Yun-hong and YANG Rong-ping. HPLC fingerprints research on decoction pieces of Citri Reticulatae Pericarpium based on chemometrics methods combined with orthogonal partial least square discriminate analysis[J]. Chinese Traditional and Herbal Drugs, 2019, 50(9): 2194-2200 |
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| Authors: | ZHOU Xin ZHANG Lin MAO Chan KANG Xi QU Tong WANG Yun-hong YANG Rong-ping |
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| Affiliation: | College of Pharmacy, Southwest University, Chongqing 400715, China,College of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China,College of Pharmacy, Southwest University, Chongqing 400715, China,College of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China,Shaanxi University of Chinese medicine, Xianyang 712083, China,Chongqing Academy of Chinese Traditional Materia Medica, Chongqing 400065, China and College of Pharmacy, Southwest University, Chongqing 400715, China |
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| Abstract: | Objective To establish an HPLC method for the fingerprints analysis of decoction pieces of tangerine peel, so as to provide reference for the quality control of it. Methods Fingerprints of 17 batches of decoction pieces of tangerine peel were established by HPLC and evaluated by cluster analysis (CA), principal component analysis (PCA) and orthogonal partial least square discriminate analysis (OPLS-DA). Results The method of fingerprint of decoction pieces of tangerine peel was established, the similarities were greater than 0.9. There were 25 common peaks in the HPLC fingerprint, of which variable importance projection (VIP) of 14 peaks were greater than 1. Compared with the spectrogram of reference substances, peak 13 was narirutin, peak 14 was hesperidin, peak 23 was nobiletin, peak 24 was 3,5,6,7,8,3'',4''-heptamethoxy flavone, and peak 25 was hesperetin. Conclusion This simple and reliable method can be used for the identification and quality control of decoction pieces of Citri Reticulatae Pericarpium. |
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| Keywords: | decoction pieces of Citri Reticulatae Pericarpium fingerprints cluster analysis principal component analysis orthogonal partial least square discriminate analysis narirutin hesperidin nobiletin hesperetin |
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