摘要
目的建立气相色谱(GC)法同时测定藏药八味沉香散中挥发性指标成分乙酸辛酯、苄基丙酮、肉豆蔻醚、去氢木香内酯含量的方法。方法采用GC法,以乙酸辛酯、苄基丙酮、肉豆蔻醚、去氢木香内酯作为指标成分,应用SH-WAX毛细管柱(30 m×0.25 mm,0.25μm),柱温程序升温,载气为氮气,进样口温度为220℃,检测器温度为240℃,分流进样,进样量为1μL。结果乙酸辛酯、苄基丙酮、肉豆蔻醚、去氢木香内酯质量浓度分别在12.44~124.43μg·mL^(-1)、2.90~29.01μg·mL^(-1)、15.95~159.45μg·mL^(-1)、15.62~156.15μg·mL^(-1)范围内与峰面积呈良好的线性关系(r≥0.9995);平均回收率分别为100.40%(RSD=1.55%)、97.80%(RSD=1.41%)、99.50%(RSD=0.77%)、99.50%(RSD=0.85%)(n=6)。结论该方法专属性、精密性、重复性、准确性好,可用于八味沉香散中挥发性指标成分的含量测定。
Objective To establish a GC method for simultaneous determination of volatile index components of octyl acetate,benzylacetone,myristicin and dehydrocostus lactone in Tibetan medicine Bawei Chenxiang powders.Methods A GC method was used with octyl acetate,benzylacetone,myristicin and dehydrocostus lactone as indicator components,SHWAX capillary column(30 m×0.25 mm,0.25μm)and temperature programming were used,the carrier gas was nitrogen,the inlet temperature was 220℃,the detector temperature was 240℃,with split injection volume of 1μL.Results The concentrations of octyl acetate,benzylacetone,myristicin and dehydrocostus lactone showed a good linear relationship with peak area(r≥0.9995)in the range of 12.44-124.43μg·mL^(-1),2.90-29.01μg·mL^(-1),15.95-159.45μg·mL^(-1),15.62-156.15μg·mL^(-1),respectively;the average recovery rates were 100.40%(RSD=1.55%),97.80%(RSD=1.41%),99.50%(RSD=0.77%)and 99.50%(RSD=0.85%)(n=6).Conclusion The method has good specificity,precision,repeatability and accuracy,and can be used for the determination of volatile index components in Bawei Chenxiang powders.
作者
苏玫匀
王佩
刘艳萍
谢和兵
白玛旦增
SU Meiyun;WANG Pei;LIU Yanping;XIE Hebing;BAIMA Danzeng(School of Pharmacy,Anhui University of Traditional Chinese Medicine,Hefei 230012,China;Nantong Haimen Yangtze Delta Drug Advanced Research Institute,Nantong 226133,Jiangsu Province,China;Jiangsu Shenhou Pharmaceutical Research Co.,Ltd,Nantong 226133,Jiangsu Province,China;Tibet Shenhou Pharmaceutical Co.,Ltd,Shigatse 857000,Xizang Autonomous Region,China)
出处
《药物流行病学杂志》
CAS
2024年第11期1247-1253,共7页
Chinese Journal of Pharmacoepidemiology
基金
西藏自治区科技厅区域科技协同创新专项(QYXTZX-RKZ2022-07)。