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作 者:屈彬清 刘隆基 杨婧潇 罗堃[1] 王元清[2] 刘瑞连 严建业[1,4] QU Bin-qing;LIU Long-ji;YANG Jing-xiao;LUO Kun;WANG Yuan-qing;LIU Rui-lian;YAN Jian-ye(Science and Technology Innovation Center,Hunan University of Chinese Medicine,Changsha 410208,China;School of Life Science and Technology,Central South University of Forestry and Technology,Changsha 410004,China;The Hospital Affiliated to Hunan Academy of Chinese Medicine,Changsha 410006,China;Hunan Engineering Technology Research Center for Screening of Active Substance of Chinese Medicinal Plants,Changsha 410208,China)
机构地区:[1]湖南中医药大学科技创新中心,湖南长沙410208 [2]中南林业科技大学生命科学与技术学院,湖南长沙410004 [3]湖南省中医药研究院附属医院,湖南长沙410006 [4]湖南省中药活性物质筛选工程技术研究中心,湖南长沙410208
出 处:《中成药》2023年第11期3663-3670,共8页Chinese Traditional Patent Medicine
基 金:湖南省自然科学基金(2020JJ4470);湖南省中医药科研计划项目(2021028);湖南中医药大学重点学科中药学科(校行发规字[2023]2号)。
摘 要:目的建立UPLC法同时测定枳壳中圣草次苷、新北美圣草苷、芸香柚皮苷、柚皮苷、橙皮苷、新橙皮苷、橙皮内酯、枸橘苷、甜橙黄酮、川陈皮素、桔皮素、橙皮油素的含量,结合灰色关联分析和化学计量学对不同产地枳壳质量进行评价。方法枳壳甲醇提取物的分析采用ACQUITY UPLC®BEH C_(18)色谱柱(100 mm×2.1 mm,1.7μm);流动相10%甲醇-乙腈,梯度洗脱;体积流量0.5 mL/min;柱温30℃。采用灰色关联分析对不同产地枳壳中12种成分进行综合评价,并结合聚类分析和质量波动分析对枳壳中12种成分含量差异进行评价。结果12种成分在各自范围内线性关系良好(r≥0.9997),平均加样回收率98.34%~99.55%,RSD 0.49%~2.98%。产地对枳壳中12种成分含量有一定影响。产自四川、湖南、江西、重庆的枳壳与最优参考序列相对关联度最高,质量较好,这与目前四川、湖南、江西作为枳壳的主产区相符合。聚类分析将21个产地枳壳样品分为2类。甜橙黄酮、川陈皮素、桔皮素、橙皮油素、橙皮内酯含量在不同产地枳壳样品中波动较大。结论该方法简便准确、重复性好,可用于枳壳的质量控制与评价。AIM To establish a UPLC method for the simultaneous determination of eriocitrin,neoeriocitrin,narirutin,naringin,hesperidin,neohesperidin,meranzin,poncirin,sinensetin,nobiletin,tangeretin,auraptene in Aurantii Fructus,and to apply grey correlation analysis and stoichiometry in the comprehensive quality evaluation of Fructus Aurantii from different regions.METHODS The analysis of methanol extract from Aurantii Fructus was performed on a 30℃thermostatic ACQUITY UPLC®BEH C_(18)column(2.1 mm×100 mm,1.7μm)with the mobile phase comprising of 10%methanol-acetonitrile flowing at 0.5 mL/min in a gradient elution manner.Aurantii Fructus from different regions had their twelve constituents comprehensively evaluated by grey relational analysis,and content differences analyzed by the combination use of hierarchical cluster analysis and quality fluctuation analysis.RESULTS Twelve constituents showed good linear relationships within their own ranges(r≥0.9997),whose average recoveries were 98.34%-99.55%with the RSDs of 0.49%-2.98%.The impact of origin differences on the content of twelve constituents in Aurantii Fructus was observed,as those produced in Sichuan,Hunan,Jiangxi and Chongqing contributed the highest relative correlation with the optimal reference sequence and good quality.And this coincided with the fact that the current main production areas of Aurantii Fructus were in Sichuan,Hunan and Jiangxi.According to the stoichiometry result,21 samples of Aurantii Fructus from different regions were categorized into two kinds by cluster analysis;and there existed significant content fluctuation in sinensetin,nobiletin,tangeretin,auraptene and meranzin.CONCLUSION This simple,accurate and reproducible method can be used for the quality control and evaluation of Aurantii Fructus.
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