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一测多评法测定唐古特大黄中蒽醌类成分的含量 被引量:1

Determination of Content of Anthraquinones in Rheum tanguticum by Quantitative Analysis of Multi-components by Single-marker
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摘要 [目的]建立唐古特大黄中蒽醌类成分的一测多评(QAMS)含量测定方法。[方法]采用HPLC,以大黄素为参照物,建立其与芦荟大黄素、大黄酸、大黄酚、大黄素甲醚的相对校正因子,分别采用一测多评法和外标法测定唐古特大黄中蒽醌类成分的含量,并比较2种方法测定结果的差异。[结果]一测多评法与外标法测定的唐古特大黄中蒽醌类成分含量的RSD均小于3%,且2种方法之间没有显著性差异。[结论]一测多评法测定唐古特大黄中蒽醌类成分的含量稳定准确,可有效、快速地评价唐古特大黄的质量,以提高唐古特大黄的质量。 [Objective]To establish a method for the determination of anthraquinones in Rheum tanguticum by quantitative analysis of multi-components by single-marker(QAMS).[Method]Using HPLC,with emodin as reference,the relative correction factor of aloe-emodin,rhein,chrysophanol and physcione was established,the contents of anthraquinones in Rheum tanguticum were calculated by QAMS and external standard method(ESM),and compared the differences of results between the two methods.[Result]The RSD values of effective components of Rheum tanguticum determined by QAMS and ESM were both less than 3%,indicating that there was no significant difference between the two methods.[Conclusion]The content of anthraquinones in Rheum tanguticum was determined by QAMS,which was stable and accurate,and could be used to evaluate the quality of Rheum tanguticum effectively and quickly,so as to improve the quality of Rheum tanguticum.
作者 王君梅 郭玫 王志旺 曹强 郭亚菲 寇仁博 甘玉伟 WANG Jun-mei;GUO Mei;WANG Zhi-wang(Gansu University of Traditional Chinese Medicine,Lanzhou,Gansu 730000;Provincial Key Laboratory of Chinese(Tibetan)Pharmaceutical Chemistry and Quality Research in Universities of Gansu Province,Lanzhou,Gansu 730000;Key Laboratory of Pharmacology and Toxicology of Traditional Chinese Medicine of Gansu Province,Lanzhou,Gansu 730000)
出处 《安徽农业科学》 CAS 2022年第11期169-172,共4页 Journal of Anhui Agricultural Sciences
基金 甘肃省中央引导地方科技发展专项项目“唐古特大黄种植技术示范推广及产业化” 甘肃省教育厅双一流重大科研项目(GSSYLXM-05) 甘肃中医药大学研究生创新基金项目:(2021CX45)。
关键词 唐古特大黄 一测多评法 蒽醌类成分 含量测定 质量评价 Rheum tanguticum Quantitative analysis of multi-components by single-marker(QAMS) Anthraquinones Content determination Quality evaluation
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