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浏览/检索结果: 共4条，第1-4条 帮助 限定条件 专题：上海中医药大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Quality assessment of pollen typhae by high-performance liquid chromatography fingerprint, hierarchical cluster analysis, and principal component analysis 期刊论文 PHARMACOGNOSY MAGAZINE, 2019, 卷号: 15, 期号: 61 作者:  Ma, Xin;  Zou, Haimiao;  Pan, Yibin;  Su, Jing;  Qiu, Yujiao 收藏  |  浏览/下载：7/0  |  提交时间：2019/12/05 Hierarchical cluster analysis  high-performance liquid chromatography fingerprint  microscopic identification  principal component analysis  Pollen Typhae   Establishment and application of a new HPLC qualitative and quantitative assay for Gentiana Macrophyllae Radix based on characteristic constituents of anofinic acid and its derivatives 期刊论文 BIOMEDICAL CHROMATOGRAPHY, 2018, 卷号: 32, 期号: 11 作者:  Ding, Wenzheng;  Wang, Hanxue;  Zhou, Quan;  Wu, Jinrong;  Cheng, Xuemei 收藏  |  浏览/下载：12/0  |  提交时间：2019/12/05 2-methoxyanofinic acid  characteristic fingerprint  Gentiana Macrophylla Radix  hierarchical cluster analysis  principal component analysis   QUALITY ASSESSMENT FOR PORTULACA OLERACEA BY MULTI-COMPONENT QUANTIFICATION, CHROMATOGRAPHIC FINGERPRINT AND RELATED CHEMOMETRIC ANALYSIS 期刊论文 JOURNAL OF LIQUID CHROMATOGRAPHY & RELATED TECHNOLOGIES, 2012, 卷号: 35, 期号: 19 作者:  Lin, Yun;  Li, Zhixiong;  Wu, Bin;  Yang, Quanjun;  Jiang, Jian 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/05 chromatographic fingerprint  hierarchical cluster analysis  multi-component quantification  Portulaca oleracea  principal component analysis  ultra performance liquid chromatography   HPLC Fingerprints Combined with Principal Component Analysis, Hierarchical Cluster Analysis and Linear Discriminant Analysis for the Classification and Differentiation of Peganum sp Indigenous to China 期刊论文 PHYTOCHEMICAL ANALYSIS, 2010, 卷号: 21, 期号: 3 作者:  Cheng, Xue-mei;  Zhao, Ting;  Yang, Tao;  Wang, Chang-hong;  Bligh, S. W. Annie 收藏  |  浏览/下载：1/0  |  提交时间：2019/12/05 Peganum  HPLC fingerprints  hierarchical cluster analysis  principal component analysis  linear discriminant analysis