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基于化学计量学黄花白及和小白及HPLC指纹图谱分析
引用本文:秦亚东,汪荣斌,方凤满,张立菊,李林华.基于化学计量学黄花白及和小白及HPLC指纹图谱分析[J].井冈山大学学报(自然科学版),2020,41(4):21-25.
作者姓名:秦亚东  汪荣斌  方凤满  张立菊  李林华
作者单位:安徽中医药高等专科学校药学系,安徽,芜湖 241000;安徽师范大学生命科学学院,安徽,芜湖 241000;安徽师范大学生命科学学院,安徽,芜湖 241000;鲁南制药股份有限公司质管部,山东,临沂 276000;安徽中医药高等专科学校药学系,安徽,芜湖 241000
基金项目:安徽省高校重点科研项目(KJ2018A0789);安徽省高校优秀青年人才支持计划项目(gxyq2017209);安徽省高校学科(专业)拔尖人才学术资助重点项目(gxbjZD2016106)
摘    要:采用高效液相色谱(HPLC)法建立6批黄花白及和8批小白及指纹图谱并比较Militarine含量,利用相似度(SA)、聚类分析(HCA)和主成分分析(PCA)对黄花白及和小白及进行综合评价。结果显示HPLC指纹图谱共生成26个共有峰,利用对照品指认12号色谱峰为Militarine,且其含量在二者之间具显著性差异(P<0.01);SA分析显示黄花白及和小白及相似度大于0.912,具较高的相似性;HCA和PCA将黄花白及和小白及分为两类,表明两者存在一定的差异性,分析结果相互验证。结果表明黄花白及和小白及化学组成类似,HPLC指纹图谱技术结合化学计量学方法适用于两者的区分和内在质量评价。

关 键 词:黄花白及  小白及  指纹图谱  化学计量学  质量评价
收稿时间:2019/10/27 0:00:00
修稿时间:2020/3/6 0:00:00

FINGERPRINT ANALYSIS OF BLETILLA OCHRACEA AND BLETILLA FORMOSANA BASED ON HPLC COMBINED WITH CHEMOMETRICS METHODS
QIN Ya-dong,WANG Rong-bin,FANG Feng-man,ZHANG Li-ju and LI Lin-hua.FINGERPRINT ANALYSIS OF BLETILLA OCHRACEA AND BLETILLA FORMOSANA BASED ON HPLC COMBINED WITH CHEMOMETRICS METHODS[J].Journal of Jinggangshan University(Natural Sciences Edition),2020,41(4):21-25.
Authors:QIN Ya-dong  WANG Rong-bin  FANG Feng-man  ZHANG Li-ju and LI Lin-hua
Institution:Department of pharmacy, Anhui college of Traditional Chinese Medicine, Wuhu, Anhui 241002, China;College of life sciences, Anhui Normal University, Wuhu, Anhui 241002, China,Department of pharmacy, Anhui college of Traditional Chinese Medicine, Wuhu, Anhui 241002, China;College of life sciences, Anhui Normal University, Wuhu, Anhui 241002, China,College of life sciences, Anhui Normal University, Wuhu, Anhui 241002, China,Quality department, Lunan Pharmaceutical Group Corporation, Linyi, Shandong 276000, China and Department of pharmacy, Anhui college of Traditional Chinese Medicine, Wuhu, Anhui 241002, China
Abstract:High performance liquid chromatography (HPLC) fingerprints of 6 batches of Bletilla ochracea and 8 batches of B. formosana were established and the content of Militarine was compared. The quality assessment was achieved by using similarity analysis (SA), hierarchical clustering analysis (HCA) and principal component analysis (PCA). The results indicated that twenty-six common characteristic peaks were found in all tested samples, peak 12 was identified as Militarine with significant differences in content (P<0.01); Similarity values were all above 0.912, which indicated the tested samples has high similarity; All above results could validate each other and successfully group these samples into two categories, which showed the samples are different. The results showed that all tested samples have similar chemical composition, HPLC fingerprint technology combined with chemometrics methods could be used for differentiation and quality assessment on the B. ochracea and B. formosana samples.
Keywords:Bletilla ochracea  Bletilla formosana  fingerprint  chemometrics  quality assessment
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