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陈定芳,李文姣,田丽,肖美凤,秦裕辉,贺福元.基于超分子“印迹模板”整合成成分簇的龙牙百合谱量学研究[J].湖南中医药大学学报,2022,42(8):1247-1254[点击复制] |
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基于超分子“印迹模板”整合成成分簇的龙牙百合谱量学研究 |
陈定芳,李文姣,田丽,肖美凤,秦裕辉,贺福元 |
(湖南中医药大学药学院, 湖南 长沙 410208;中药成药性与制剂制备湖南省重点实验室, 湖南 长沙 410208;湖南中医药大学药学院, 湖南 长沙 410208;湖南省中医药研究院, 湖南 长沙 410208;湖南中医药大学药学院, 湖南 长沙 410208;湖南省中医药研究院, 湖南 长沙 410208;湖南中医药大学中医药超分子机理与数理特征化实验室, 湖南 长沙 410208;中药药性与药效国家中医药管理局重点实验室, 湖南 长沙 410208) |
摘要: |
目的 基于超分子“印迹模板”的分布特征划分龙牙百合指纹图谱成分簇,并进行谱量学研究。方法 采用UPLC法建立采集自邵阳地区的39批次龙牙百合的指纹图谱,采用匹配频数法和段带总量统计矩法划分“印迹模板”成分簇,并构建新指纹图谱;根据朗伯-比尔定律进行总峰面积与浸出率的线性回归,建立谱量学方程。结果 39批次龙牙百合UPLC指纹图谱可被划分为12个“印迹模板”成分簇,其总峰面积与浸出率的回归系数分别为-1.10×10-3、3.88×10-4、1.75×10-3、3.91×10-5、-1.23×10-4、-4.65×10-3、-1.88×10-4、-1.61×10-4、2.18×10-7、-2.25×10-5、7.57×10-4、1.01×10-4,常数为0.244,R=0.959。结论 匹配频数法可整合39批龙牙百合指纹图谱成12个“印迹模板”成分簇,据此可建立其峰面积与浸出率的多元谱量学数学关系,可用于龙牙百合的总浸出物的定量分析。 |
关键词: 谱量学 龙牙百合 超分子“印迹模板” 成分簇 指纹图谱 |
DOI:10.3969/j.issn.1674-070X.2022.08.004 |
投稿时间:2022-04-06 |
基金项目:国家自然科学基金项目(81573691,81874507);湖南省科技厅重点实验室建设项目(2016TP1017);湖南中医药大学药学一流学科基金项目(2021YX15);湖南省科技厅高新技术产业科技创新引领计划(科技攻关)项目(S2020GXKJGG0301)。 |
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Chromatometer study of Lilium brownii F. E. Brown var. viridulum Baker based on supramolecular “imprinting templates” integrated into component clusters |
CHEN Dingfang,LI Wenjiao,TIAN Li,XIAO Meifeng,QIN Yuhui,HE Fuyuan |
(College of Pharmacy, Hunan University of Chinese Medicine, Changsha, Hunan 410208, China;Hunan Key Laboratory of Druggability and Preparation Modification of TCM, Changsha, Hunan 410208, China;College of Pharmacy, Hunan University of Chinese Medicine, Changsha, Hunan 410208, China;Hunan Academy of Chinese Medicine, Changsha, Hunan 410208, China;College of Pharmacy, Hunan University of Chinese Medicine, Changsha, Hunan 410208, China;Hunan Academy of Chinese Medicine, Changsha, Hunan 410208, China;Laboratory of Supramolecular Mechanism and Mathematic-Physics Characterization for TraditionaL Chinese Medicine, Hunan University of Chinese Medicine, Changsha, Hunan 410208, China;Key Laboratory of Property and Pharmacodynamics of TCM, State Administration of TraditionaL Chinese Medicine, Changsha, Hunan 410208, China) |
Abstract: |
Objective To classify the fingerprint clusters of Lilium brownii F. E. Brown var. viridulum Baker based on the distribution characteristics of supramolecular "imprinting templates" and to conduct a chromatometer study. Methods The UPLC method was used to establish the fingerprint profiles of 39 batches of Lilium brownii F. E. Brown var. viridulum Baker collected from Shaoyang area, and the matching frequency method and the statistical moment method of the total number of bands were used to classify the "imprinting templates" component clusters and construct new fingerprint profiles; a linear regression of total peak a linear regression of total peak area and leaching rate was performed according to the Lambert-Bier law to establish the chromatometer equation. Results The UPLC fingerprint profiles of 39 batches of Lilium brownii F. E. Brown var. viridulum Baker can be divided into 12 "imprinting templates" component clusters, and the regression coefficients of total peak area and leaching rate were -1.10×10-3, 3.88×10-4, 1.75×10-3, 3.91×10-5, -1.23×10-4, -4.65×10-3, -1.88×10-4, -1.61×10-4, 2.18×10-7, -2.25×10-5, 7.57×10-4, 1.01×10-4%·s·μA-1, respectively, with a constant of 0.244%, R=0.959. Conclusion The matched frequency method can integrate 39 batches of Lilium brownii F. E. Brown var. viridulum Baker fingerprint profiles into 12 "imprinting templates" component clusters. The multivariate chromatometer mathematical relationship between the peak area and the leaching rate can be established, which can be used for the quantitative analysis of the total leachate of Lilium brownii F. E. Brown var. viridulum Baker. |
Key words: chromatometer Lilium brownii F. E. Brown var. viridulum Baker supramolecular "imprinting templates" component clusters fingerprint profiles |
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