title: A pragmatic and readily implemented quality control strategy for HPLC-MS and GC-MS-based metabonomic analysis.
abstract: 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.
authors.affiliation: Department of Drug Metabolism and Pharmacokinetics, AstraZeneca, Mereside, Alderley Park, Macclesfield, Cheshire, UK SK10 4TG.
authors.forename: Timothy
authors.initials: T
authors.lastname: Sangster
authors.forename: Hilary
authors.initials: H
authors.lastname: Major
authors.forename: Robert
authors.initials: R
authors.lastname: Plumb
authors.forename: Amy J
authors.initials: AJ
authors.lastname: Wilson
authors.forename: Ian D
authors.initials: ID
authors.lastname: Wilson
mesh_terms: D015415:Biomarkers / Q000032:analysis; D001826:Body Fluids / Q000737:chemistry / Q000378:metabolism; D002851:Chromatography, High Pressure Liquid / Q000379:methods*; D008401:Gas Chromatography-Mass Spectrometry / Q000379:methods*; D006801:Humans; D011786:Quality Control; D014020:Tissue Extracts / Q000737:chemistry / Q000378:metabolism
chemical_list: D015415:Biomarkers; D014020:Tissue Extracts