A pragmatic and readily implemented quality control strategy for HPLC-MS and GC-MS-based metabonomic analysis
A pragmatic and readily implemented quality control strategy for HPLC-MS and GC-MS-based metabonomic analysis
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DOI：
10.1039/b604498k
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发表时间：
2006-01-01
期刊：
影响因子：
4.2
通讯作者：
Wilson, Ian D.
中科院分区：
文献类型：
--
作者：
Sangster, Timothy;Major, Hilary;Wilson, Ian D.
代谢组学/代谢组学研究可能涉及分析大量样品以检测生物标志物，并且通过GC和HPLC-MS等方法生成的分析数据的置信度需要分析人员采取积极措施。然而，复杂的多组分样品如生物流体的质量控制，其中样品中的许多感兴趣的组分在分析之前是未知的，造成了重大的问题。在这里，主张在整个运行过程中重复分析混合样品，从而使用数据的目标检查和模式识别来监测和控制分析，作为该问题的实用解决方案。
Metabonomic/ metabolomic studies can involve the analysis of large numbers of samples for the detection of biomarkers and confidence in the analytical data, generated by methods such as GC and HPLC-MS, requires active measures on the part of the analyst. However, quality control for complex multi-component samples such as biofluids, where many of the components of interest in the sample are unknown prior to analysis, poses significant problems. Here the repeat analysis of a pooled sample throughout the run, thereby enabling the analysis to be monitored and controlled using targeted inspection of the data and pattern recognition, is advocated as a pragmatic solution to this problem.