摘要
目的建立采用HPLC测定工业大麻中大麻二酚(CBD)含量的分析方法,并考察CBD的含量变化趋势。方法比较在工业大麻不同部位CBD含量差别,采用不同烘烤温度,不同烘烤时间,不同PH条件对工业大麻进行前处理,对比CBD的含量变化趋势。结果建立了HPLC法测定工业大麻中CBD含量,并制作标准曲线,标曲在质量0.0001~0.0050 mg(R^2=0.9990)范围内有良好的线性关系,加样回收率为100.07%(RSD%=1.41%),该方法具有良好的重复性和回收率。CBD在pH11条件下,放置0天含量为25.64 mg/g,放置15 d后未能检测到CBD,说明强碱对CBD稳定性影响较大,其在叶子中含量较高,为0.99mg/g,于烘烤温度120℃,烘烤时间40 min条件下能够明显提高大麻叶中CBD的含量,可达7.499 mg/g。结论该结果为工业中提取大麻二酚提供技术依据。
Objective To establish an analytical method for the determination of cannabidiol in industrial cannabis by HPLC,and examine the trend of cannabidiol content.Me thods We compared the differences of cannabinol content in different parts from industrial cannabis,and compared the trend of cannabinol content changes by using different baking temperatures,different baking times,and different pH conditions to pretreat industrial cannabis.Re s ults An HPLC method was established for the determination of cannabidiol in industrial cannabis,and a standard curve was prepared.The standard curve had a good linear relationship in the range of0.0001 to 0.005 mg(R^2=0.9990).The sample recovery was 100.07%(RSD%=1.41%),this method possesses good repeatability and recovery.The results show that the stability of cannabidiol is strongly affected under strong alkaline conditions,and the content of cannabidiol is higher in the leaves.At a baking temperature of 120℃and a baking time of 40 minutes,the content of CBD in cannabis leaves can be significantly improved.Conclus ion The results provide technical basis for extracting cannabidiol in industry.
作者
孙孔春
陈兴龙
杨璨瑜
于浩飞
胡炜彦
王蕊
沈报春
张荣平
SUN Kong-chun;CHEN Xing-long;YANG Can-yu;YU Hao-fei;HU Wei-yan;WANG Rui;SHEN Bao-chun;ZHANG Rong-ping(School of Pharmaceutical Science&Yunnan Key Laboratory of Pharmacology Nature Products,Kunming Medical University;School of Forensic Medicine,Kunming Medical University;College of Traditional Chinese Medicine,Yunnan University of Chinese Medicine,Kunming Yunnan 650500,China)
出处
《昆明医科大学学报》
CAS
2020年第5期23-28,共6页
Journal of Kunming Medical University
基金
国家自然科学基金资助项目(81860632)
云南省创新团队基金资助项目(2020HC008)
云南省科技厅-昆明医科大学应用基础研究联合专项基金资助项目(2017FE468-172,2019FE001-012)。