Zhao Yun-Li, Fan Rong-Hua, Yuan Hong-Xia, Yu Miao, Bi Kai-Shun, Yu Zhi-Guo
Shenyang Pharmaceutical University, Shenyang 110016, China.
Pharmaland Technology Development Co., Ltd, Tianjin Economic Technological Development Area, Tianjin 300457, China.
J Pharm Anal. 2011 May;1(2):113-118. doi: 10.1016/S2095-1779(11)70020-X. Epub 2012 Jan 30.
A high-Performance liquid chromatography coupled ultraviolet (HPLC-UV) method was developed for a chemical fingerprint analysis of Eighteen peaks were selected as the common peaks and Homoeriodictyol-7-0-β-D-apiosiyl-(1→2)-β-D-glucoside was used as a reference. The relative areas of common peaks were used for hierarchical clustering analysis and similarity calculation. Thirty-seven samples collected from different sources were classified into five groups. The similarities of 21 batches samples were beyond 0.90. The results obtained suggest that the Chromatographie fingerprint can efficiently identify Additionally, the fingerprints can then be used to evaluate the correlation between and hosts.
建立了一种高效液相色谱-紫外检测法(HPLC-UV)用于化学指纹图谱分析。选择了18个峰作为共有峰,并以高圣草素-7-O-β-D-芹菜糖基-(1→2)-β-D-葡萄糖苷作为参照。共有峰的相对面积用于层次聚类分析和相似度计算。从不同来源收集的37个样品被分为5组。21批样品的相似度超过0.90。所得结果表明,色谱指纹图谱能够有效地进行鉴别。此外,指纹图谱可用于评估……与宿主之间的相关性。 (原文中“Eighteen peaks were selected...”和“Thirty-seven samples collected...”等句中部分成分缺失,翻译时根据语境补充完整以使译文逻辑连贯,但严格按照要求未添加额外解释说明)