摘要
以4个不同产地的黄精(Polygonatum sibiricum Delar. ex Redoute)冻干粉样品为材料,参照《中华人民共和国药典》(2020年版)中黄精质量标准要求,分别采用总灰分测定法测定总灰分含量,烘干法测定水分含量,热浸法测定浸出物含量,0.2%蒽酮-硫酸法测定总糖含量,HPLC法测定薯蓣皂苷元;采用噻唑蓝(MTT)法考察了薯蓣皂苷元对A431(人表皮癌细胞)、H1975(人肺腺癌细胞)和Ramos(人B淋巴细胞瘤细胞)的抗肿瘤活性。结果表明,样品水分含量为2.8%~4.7%(未超过18.0%),总灰分含量为1.9%~3.4%(未超过4.0%),醇溶性浸出物为72.99%~78.99%(未低于45.0%),总糖为7.95%~9.94%(未低于7.0%)。薯蓣皂苷元含量最低为0.18%;薯蓣皂苷元对A431有显著的抗性,且建立的含量测定方法简单、准确、重现性好。
The freeze-dried powder samples of Polygonatum sibiricum Delar.ex Redoute from 4 different producing areas were used as materials,with reference to the quality standard of Polygonatum sibiricum Delar.ex Redoute in the 2020 edition of Chinese Pharmaco⁃poeia.The total ash content was determined by the total ash determination method,the moisture content was determined by the drying method,the extract content was determined by the hot immersion method,the total sugar content was determined by the 0.2%an⁃throne-sulfuric acid method,and the diosgenin was determined by the HPLC method.The antitumor activities of diosgenin against A431(human epidermal cancer cells),H1975(human lung adenocarcinoma cells)and Ramos(human B lymphocyte tumor cells)were investigated by the MTT method.The results showed that the moisture content of the samples was 2.8%~4.7%(not more than 18.0%),the total ash content was 1.9%~3.4%(not more than 4.0%),the alcohol soluble extract was 72.99%~78.99%,(not less than 45.0%),and the total sugar was 7.95%~9.94%(not less than 7.0%).The lowest content of diosgenin was 0.18%,and diosgenin was significantly resistant to A431.The established content determination method was simple,accurate and reproducible.
作者
徐雨生
高明菊
赵宁东
黄再强
田迎秋
胡展育
余正勇
XU Yu-sheng;GAO Ming-ju;ZHAO Ning-dong;HUANG Zai-qiang;TAIN Ying-qiu;HU Zhan-yu;YU Zheng-yong(College of Agronomy,Hunan Agricultural University,Changsha 410128,China;State Key Laboratory of Hybrid Rice,Hunan Hybrid Rice Research Center,Changsha 410125,China;College of Sanqi,Wenshan University,Wenshan 663000,Yunnan,China)
出处
《湖北农业科学》
2022年第13期133-137,141,共6页
Hubei Agricultural Sciences
基金
云南省科技厅重大科技专项计划项目(2018F004)
国家自然科学基金项目(31900300)。