期刊文献+

超高效液相色谱-串联质谱法测定人血清中4种镇静催眠类药物 被引量:5

Determination of four sedative hypnotic drugs in human serum by ultra performance liquid chromatography-tandem mass spectrometry
下载PDF
导出
摘要 建立超高效液相色谱-串联质谱法测定人血清中氯氮平、氟哌啶醇、氟奋乃静、丙咪嗪4种镇静催眠类药物的方法。样品经乙腈提取,采用ACQUITY UPLC HSS T3色谱柱分离,以乙腈-水溶液(含0.05%甲酸)为流动相梯度洗脱,流量为0.3 mL/min,进样体积为10μL,多反应监测模式检测。4种镇静催眠类药物在各自的质量浓度范围内与色谱峰面积具有良好的线性关系,相关系数均大于0.995,氯氮平、氟哌啶醇、丙咪嗪的检出限均为0.03μg/L,氟奋乃静的检出限为0.06μg/L。测定结果的相对标准偏差为1.1%〜8.9%(n=6),加标样品平均回收率为90.7%〜111.9%。该方法准确、可靠,适用于人血清中镇静催眠类药物的检测。 A method for the determination of clozapine,haloperidol,fluphenazine and imipramine in human serum by ultra performance liquid chromatography-tandem mass spectrometry was established.The sample was extracted with acetonitrile and separated on acquity UPLC HSS T3 column.The mobile phase was acetonitrile water solution(containing 0.05%formic acid)with gradient elution.The flow rate was 0.3 mL/min and the injection volume was 10μL.The multi reaction monitoring mode was used for detection.There were good linear relationships between the four sedative hypnotic drugs concentration and the chromatographic peak area in their respective concentration range,and the correlation coefficients were all more than 0.995.The detection limits of clozapine,haloperidol and imipramine were 0.03μg/L,and the detection limit of fluphenazine was 0.06μg/L.The relative standard deviation of the results were 1.1%-8.9%(n=6),and the average recoveries of spiked samples were 90.7%-111.9%.The method is accurate,reliable and suitable for the determination of sedative and hypnotic drugs in human serum.
作者 于浩洋 李颜岩 冯静 华正罡 Yu Haoyang;LI Yanyan;Feng Jing;Hua Zhenggang(Liaoning Center for Disease Control and Prevention,Shenyang 110005,China)
出处 《化学分析计量》 CAS 2021年第4期38-41,共4页 Chemical Analysis And Meterage
关键词 超高效液相色谱-串联质谱法 人血清 镇静催眠类药物 ultra high performance liquid chromatography-tandem mass spectrometry human serum sedative hypnotic drugs
  • 相关文献

参考文献18

二级参考文献154

共引文献130

同被引文献75

引证文献5

二级引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部