Guy Philippe A, Tavazzi Isabelle, Bruce Stephen J, Ramadan Ziad, Kochhar Sunil
BioAnalytical Science Department, Nestlé Research Center, P.O. Box 44, Vers-chez-les Blanc, 1000 Lausanne 26, Switzerland.
J Chromatogr B Analyt Technol Biomed Life Sci. 2008 Aug 15;871(2):253-60. doi: 10.1016/j.jchromb.2008.04.034. Epub 2008 Apr 29.
Optimisation and method validation was assessed here for metabolic profiling analysis of urine samples using UPLC-TOFMS. A longer run time of 31 min revealed greater reproducibility, and the higher number of variables was identified as compared to shortened run times (10 and 26 min). We have also implemented two QC urine samples enabling the assessment of the quality and reproducibility of the data generated during the whole analytical workflow (retention time drift, mass precision and fluctuation of the ion responses over time). Based on the QC data, suitable standards for ensuring consistent analytical results for metabolomics applications using the UPLC-MS techniques are recommended.
本文评估了使用超高效液相色谱-飞行时间质谱（UPLC-TOFMS）对尿液样本进行代谢谱分析的优化及方法验证。31分钟的较长运行时间显示出更高的重现性，与缩短的运行时间（10分钟和26分钟）相比，识别出的变量数量更多。我们还采用了两个质量控制尿液样本，以评估整个分析流程中生成数据的质量和重现性（保留时间漂移、质量精度以及离子响应随时间的波动）。基于质量控制数据，推荐了适用于确保使用UPLC-MS技术的代谢组学应用获得一致分析结果的标准。
