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Multi-residue analysis of sedative drugs in human plasma by ultra-high performance liquid chromatography tandem mass spectrometry
Journal of Chromatography B ( IF 3 ) Pub Date : 2017-11-28 , DOI: 10.1016/j.jchromb.2017.11.035
Liqun Zhang , Pinggu Wu , Quan Jin , Zhengyan Hu , Junlin Wang

Background

Sedative drugs are often used for the treatment of depression, anxiety and insomnia and they are involved in many forensic cases. This work established a method for the simultaneous determination of multi-groups of sedative drugs (benzodiazepines, barbitals, phenothiazines, tricyclic antidepressant and butyrophenone) in human plasma for forensic analysis. A large number of sedative drugs with forensic interest can be analyzed in a short time with lower limits of quantification by combination of SPE extraction and ultra performance liquid chromatography-tandem mass spectrometry.

Methods

Sample preparation consisted of extraction of the plasma by hydrochloric acid solution and further purified by SLW solid phase extraction column.

Results

The method was fully validated to cover large concentration ranges of 50–1000 μg/L for 5 Barbital drugs, while 1.0–50 μg/L for the other 14 sedative drugs. The average recoveries of the drugs spiked at three levels ranged from 65.3% to 114.3% with the relative standard deviation between 1.2% and 13.2%. The lowest limits of quantification (LLOQ) were 100 μg/L for Barbital drugs and1.0 μg/L for all the other 14 drugs.

Conclusions

This validated method has been successfully used in emergency analysis of multi-residues of sedative drugs in plasma.



中文翻译:

超高效液相色谱串联质谱法对人血浆中镇静药的多残留分析

背景

镇静药通常用于治疗抑郁症,焦虑症和失眠症,它们涉及许多法医案件。这项工作建立了一种同时测定人体血浆中多种镇静药物(苯二氮卓类,巴比妥类,吩噻嗪类,三环类抗抑郁药和丁苯酮)的方法,以进行法医分析。通过SPE萃取和超高效液相色谱-串联质谱联用,可以在短时间内以较低的定量限分析大量具有法医学意义的镇静药物。

方法

样品制备包括用盐酸溶液萃取血浆,并通过SLW固相萃取柱进一步纯化。

结果

该方法经过充分验证,可以覆盖5种巴比妥药物的50–1000μg/ L的较大浓度范围,而其他14种镇静药物的浓度范围为1.0–50μg/ L。三种浓度加标的药物的平均回收率从65.3%到114.3%,相对标准偏差在1.2%和13.2%之间。巴比妥类药物的最低定量限(LLOQ)为100μg/ L,所有其他14种药物的最低定量限为1.0μg/ L。

结论

这种经过验证的方法已成功用于紧急情况下血浆中多种镇静药物残留的分析。

更新日期:2017-11-28
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