文献类型：期刊文献

中文题名：基于高效液相色谱指纹图谱、模糊物元法、多指标定量与化学计量学的市售甘草饮片质量评价

英文题名：Quality evaluation of commercial licorice decoction pieces based on HPLC fingerprinting,fuzzy matter-element method,multi-indicator quantification and chemometrics

作者：张育贵[1];宋沁洁[1];李国峰[1];李咸慰[1];杨新荣[1];李越峰[1]

第一作者：张育贵

机构：[1]甘肃中医药大学,甘肃省中药质量与标准研究重点实验室,甘肃省中药制药工艺工程研究中心,兰州730000

第一机构：甘肃中医药大学科研实验中心（甘肃省中医药标准化技术委员会秘书处）

年份：2022

卷号：37

期号：5

起止页码：2584

中文期刊名：中华中医药杂志

外文期刊名：China Journal of Traditional Chinese Medicine and Pharmacy

收录：CSTPCD;;北大核心:【北大核心2020】；CSCD:【CSCD2021_2022】；

基金：国家自然科学基金项目(No.81960713,No.82160750);甘肃省中药质量与标准研究重点实验室开放基金(No.ZYZL18-008);甘肃省教育厅产业支撑计划项目(No.2021CYZC-21);“双一流”科研重点项目(No.GSSYLXM-05);甘肃省科学技术厅-科技计划(创新基地与人才计划)基础研究创新群体项目(No.21JR7RA569)。

语种：中文

中文关键词：甘草饮片;市售;HPLC指纹图谱;模糊物元法;化学计量学;多指标定量;商品质量等级;质控标准

外文关键词：Licorice decoction pieces;Commercially;HPLC fingerprint;Fuzzy matter-element method;Chemometrics;Multi-indicator quantification;Commodity quality level;Quality control standards

摘要：目的:建立40批(S1~S40)市售甘草饮片高效液相色谱(HPLC)指纹图谱,为其质量评价提供参考。方法:对40批(S1~S40)市售甘草饮片采用《中华人民共和国药典》2020年版“甘草”项下HPLC条件,结合模糊物元分析法及聚类分析(CA)、主成分分析(PCA)及正交偏最小二乘分析(OPLS-DA)等化学计量学法进行质量等级划分和差异标志物提取。结果:HPLC指纹图谱匹配出11个共有峰,模糊物元分析出质量最佳的前5批饮片为S13、S4、S25、S10及S1;对照品指认出6个成分,分别为芹糖甘草苷、甘草苷、异甘草苷、甘草素、异甘草素及甘草酸,根据其含量运用CA、PCA及OPLS-DA等化学计量学方法划分为5个质量级;根据《中华人民共和国药典》2020年版规定甘草苷与甘草酸作为指标性成分评价40批市售甘草饮片,发现13批质量不合格,均在Class 4与Class 5质量级中;变量重要性投影(VIP)筛选出的差异性标志物按照VIP值大小依次为异甘草苷、甘草酸、芹糖甘草苷及甘草苷,提示仅测定甘草酸及甘草苷含量不能够完全反映甘草饮片的质量情况。结论:目前市售生甘草饮片质量参差不齐,甘草饮片质控标准尚需进一步完善。
Objective:To establish the fingerprints of 40 batches(S1-S40)of commercial licorice decoction pieces(CLPs)by high performance liquid chromatography(HPLC),for providing reference for its quality evaluation.Methods:The HPLC condition under the heading of‘Radix et Rhizoma Glycyrrhizae’in the 2020 edition of the Chinese Pharmacopoeia was adopted.Fuzzy matter-element analysis,clustering analysis(CA),principal component analysis(PCA)and orthogonal partial least squares(OPLS-DA)were used to classify the quality levels and extract the differential markers.Results:The HPLC fingerprints of CLPs were matched with 11 common peaks.According to the fuzzy matter-element method,the top 5 batches with the best quality were S13,S4,S25,S10 and S1.The six components were identified,namely,liquiritin apioside,liquiritin,isoliquiritin,liquiritigenin,isoliquiritigenin and glycyrrhizic acid.The 40 batches of CLPs were classified into 5 quality classes according to the chemometric methods.According to the Chinese Pharmacopoeia 2020 edition which specifies glycyrrhizin and glycyrrhetinic acid as index components,40 batches of CLPs were evaluated and found that 13 batches were found to be of unqualified quality,which in Class 4 and Class 5.The difference markers screened by variable importance projection(VIP)were isoliquiritin,glycyrrhizic acid,liquiritin apioside and liquiritin,in order of VIP value,suggesting that only the determination of glycyrrhizic acid and liquiritin content could not fully reflect the quality of CLPs.Conclusion:At present,the quality of CLPs in the market is not uniform.The quality control standard of CLPs need to be improved.