微流體液相色譜質譜聯(lián)用分析頭發(fā)中11種苯二氮卓類安眠鎮(zhèn)靜藥物(英文)
發(fā)布時間:2023-01-26 01:57
目的建立新的微流體液相色譜質譜聯(lián)用法分析頭發(fā)中11種苯二氮卓類安眠鎮(zhèn)靜藥物(勞拉西泮、氯硝西泮、溴西泮、氟硝西泮、阿普唑侖、替馬西泮、氯氮卓、奧沙西泮、地西泮、7-胺基氟硝西泮和硝西泮)。方法頭發(fā)樣品應用液液萃取法進行提取、微流控液相色譜質譜法進行檢測。結果 11種苯二氮卓類安眠鎮(zhèn)靜藥物的線性回歸系數(shù)均大于0.99,分析精密度和提取回收率分別為2%~16%和71.7%~114.9%。最小檢測限和最小定量限分別為0.008~0.03pg/mg和0.025~0.125pg/mg。結論微流體液相色譜質譜聯(lián)用法比傳統(tǒng)的LC-MS/MS方法靈敏度高2~10倍。此方法已成功應用于實際毛發(fā)樣本分析,可作為法醫(yī)毒理學毛發(fā)中痕量成分檢驗方法。
【文章頁數(shù)】:10 頁
【文章目錄】:
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
本文編號:3732037
【文章頁數(shù)】:10 頁
【文章目錄】:
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
本文編號:3732037
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