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用高效液相色谱-质谱联用仪(HPLC-MS/MS)测定人干血斑中细胞色素P450探针底物的个体定量方法的验证。

Validation of individual quantitative methods for determination of cytochrome P450 probe substrates in human dried blood spots with HPLC-MS/MS.

作者信息

Lad Rakesh

机构信息

Worldwide Bioanalysis, Drug Metabolism & Pharmacokinetics, GlaxoSmithKline Research & Development, Ware, Hertfordshire, SG12 0DP, UK.

出版信息

Bioanalysis. 2010 Nov;2(11):1849-61. doi: 10.4155/bio.10.155.

Abstract

BACKGROUND

Robust individual reversed-phase HPLC-MS/MS methods have been validated for the quantitative bioanalysis of caffeine, flurbiprofen, midazolam, omeprazole and rosiglitazone in dried blood spot samples prepared from small volumes (15 µl) of human blood. Samples were punched and the resulting discs were extracted for analysis with methanol. Detection was by TurboIonSpray™ ionization combined with selected reaction monitoring MS.

RESULTS

The validated analytical concentration ranges for caffeine, flurbiprofen, midazolam, omeprazole and rosiglitazone were 250 to 25,000 ng/ml, 100 to 10,000 ng/ml, 0.35 to 72 ng/ml, 5 to 1000 ng/ml and 2.5 to 1000 ng/ml, respectively, and were appropriate to measure circulating concentrations for these analytes at therapeutic doses. The within-run precision and bias values for all methods were less than 15%. All compounds were stable in dried blood spots stored at room temperature and protected from moisture for at least 5 days and in whole blood for 2 h at 37°C.

CONCLUSION

This work demonstrates that quantitative analysis of a drug extracted from dried blood spots can provide high-quality data while minimizing the volume of blood withdrawn from volunteers.

摘要

背景

稳健的个体反相高效液相色谱 - 串联质谱法已得到验证,可用于对从小体积(15微升)人血制备的干血斑样本中的咖啡因、氟比洛芬、咪达唑仑、奥美拉唑和罗格列酮进行定量生物分析。对样本进行打孔,然后将得到的圆片用甲醇提取用于分析。通过TurboIonSpray™ 电离结合选择反应监测质谱进行检测。

结果

咖啡因、氟比洛芬、咪达唑仑、奥美拉唑和罗格列酮经验证的分析浓度范围分别为250至25,000纳克/毫升、100至10,000纳克/毫升、0.35至72纳克/毫升、5至1000纳克/毫升和2.5至1000纳克/毫升,适用于测量这些分析物在治疗剂量下的循环浓度。所有方法的批内精密度和偏差值均小于15%。所有化合物在室温下储存且防潮的干血斑中至少5天内稳定,在37°C的全血中2小时内稳定。

结论

这项工作表明,对从干血斑中提取的药物进行定量分析可以提供高质量的数据,同时将从志愿者身上抽取的血量降至最低。

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