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食品研究与开发:2020,41(17):151-155
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HPLC法同时评价不同桑黄提取物中3种主要化合物的含量
(长春师范大学中心实验室,吉林长春130032)
Simultaneous Evaluation of Three Main Compounds in the Extracts of Different Phellinus igniarius by HPLC
(The Central Laboratory,Changchun Normal University,Changchun 130032,Jilin,China)
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投稿时间:2019-10-17    
中文摘要: 以95%的乙醇作为提取溶剂,对11种不同来源桑黄样品中的有效成分进行提取,应用高效液相色谱(high performance liquid chromatography,HPLC)对桑黄提取物中 davallialactone、hypholomine B、inoscavin A 含量进行检测。结果表明,davallialactone、hypholomine B、inoscavin A 在 2.5 μg/mL~10 μg/mL 范围内线性关系良好(r=0.998 9、0.998 1、0.999 9),精密度相对标准偏差(relative standard deviation,RSD)分别为0.49%、0.57%、0.75%,稳定性RSD为0.67%、0.66%、0.73%,重复性RSD为0.62%、0.58%、0.41%(n=5)。该方法精密度、稳定性和重复性良好。通过对比11种不同桑黄提取物中3种化合物的含量,发现在不同的桑黄提取物中3种化合物含量差异较大,可能与桑黄生长环境、生长年份以及培育方式有关。该研究为桑黄食药用菌的质量控制以及相关药物的研发提供一定的试验基础。
Abstract:With 95%ethanol as the extraction solvent,the effective components in 11 samples Phellinus igniarius(P.igniarius)from different sources were extracted,and the contents of davallialactone,hypholomine B and inoscavin A in the extracts were detected by(high performance liquid chromatography)HPLC.The results showed that davallialactone,hypholomine B and inoscavin A had good linearity in the range of 2.5 μg/mL-10 μg/mL(r=0.998 9,0.998 1,0.999 9),and the precision relative standard deviation(RSD)was 0.49%,0.57%and 0.75%,respectively.The stability RSD was 0.67%,0.66%,and 0.73%,and the reproducible RSD was 0.62%,0.58%,and 0.41%(n=5).The method is excellent in precision,stability and repeatability.By comparing the content of three compounds in the extracts of 11 different types of Phellinus igniarius,it was found that the content of three compounds in the extracts of different types of Phellinus igniarius was significantly different,which may be related to the growth environment,growth year and cultivation mode of Phellinus igniarius.This study provided a certain experimental basis for the quality control of medicinal Phellinus igniarius and the development of related drugs.
文章编号:202017024     中图分类号:    文献标志码:
基金项目:国家自然科学基金(31400453、31870336);吉林省科技厅项目(20170520029JH);吉林省发展和改革委员会基金(2018C0050-2);长春师范大学自然科学基金(2017013);吉林省教育厅项目(JJKH20190508KJ、JJH20170658KJ、JJH20181185KJ)
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