微流体液相色谱质谱联用分析头发中11种苯二氮卓类安眠镇静药物(英文)
发布时间:2023-01-26 01:57
目的建立新的微流体液相色谱质谱联用法分析头发中11种苯二氮卓类安眠镇静药物(劳拉西泮、氯硝西泮、溴西泮、氟硝西泮、阿普唑仑、替马西泮、氯氮卓、奥沙西泮、地西泮、7-胺基氟硝西泮和硝西泮)。方法头发样品应用液液萃取法进行提取、微流控液相色谱质谱法进行检测。结果 11种苯二氮卓类安眠镇静药物的线性回归系数均大于0.99,分析精密度和提取回收率分别为2%~16%和71.7%~114.9%。最小检测限和最小定量限分别为0.008~0.03pg/mg和0.025~0.125pg/mg。结论微流体液相色谱质谱联用法比传统的LC-MS/MS方法灵敏度高2~10倍。此方法已成功应用于实际毛发样本分析,可作为法医毒理学毛发中痕量成分检验方法。
【文章页数】:10 页
【文章目录】:
1 Introduction
2 Experimentals
2.1 Chemicals and reagents
2.2 Standard solution preparation
2.3 Hair sample collection
2.4 Hair sample preparation
2.5 The novel microfl uidic LC-MS/MS methods
2.6 The traditional LC-MS/MS methods
3 Results and discussion
3.1 Optimization of sample preparation
3.2 Validation of the novel microfl uidic LC-MS/MS and the traditional LC-MS/MS
3.3 Comparison of the novel microfl uidic LC-MS/MS method and the traditional LC-MS/MS
3.4 Comparison with reported methods
3.5 Reason for the dramatic sensitivity improve-ment of the microfl uidic LC-MS/MS method
3.6 Analysis of real hair specimen
4 Conclusion
本文编号:3732037
【文章页数】:10 页
【文章目录】:
1 Introduction
2 Experimentals
2.1 Chemicals and reagents
2.2 Standard solution preparation
2.3 Hair sample collection
2.4 Hair sample preparation
2.5 The novel microfl uidic LC-MS/MS methods
2.6 The traditional LC-MS/MS methods
3 Results and discussion
3.1 Optimization of sample preparation
3.2 Validation of the novel microfl uidic LC-MS/MS and the traditional LC-MS/MS
3.3 Comparison of the novel microfl uidic LC-MS/MS method and the traditional LC-MS/MS
3.4 Comparison with reported methods
3.5 Reason for the dramatic sensitivity improve-ment of the microfl uidic LC-MS/MS method
3.6 Analysis of real hair specimen
4 Conclusion
本文编号:3732037
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