کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5136761 | 1494014 | 2017 | 9 صفحه PDF | دانلود رایگان |
- A new strategy was developed for the detection of chromatographically and spectroscopically reliable features during a metabolomic study.
- The shredding of the LC-MS chromatograms into multiple m/z ranges increased the number of identified chromatographically and spectroscopically reliable features.
- Using either the statistical significant features from the unpaired t-test or the variables after VIPs scoring a valid model can be produced.
IntroductionIn the case of the MS-based metabolomics, the large number of false positives remains a fundamental issue.ObjectiveThe aim of this study was to develop a new strategy, which highlights the number of the reliable features i.e. the detected features that correspond to a consistent peak according to chromatographic and mass spectrometric criteria.MethodFor the analysis blood samples from 20 chickens, which were administrated with naringin and 9 samples from control, were analyzed by UHPLC-HRMS (Orbitrap Velos). Two methodologies have been compared for data processing. In the first one (classical approach), all data in the 100-900âm/z mass-to charge range were included for the data processing procedure whereas for the newly developed methodology, the data were shred in 100Â Da slices generating 8 datasets, which have been then subjected to the downstream MS data processing. Each dataset was treated separately and the m/z_tR features obtained by either VIP's or t-test values were merged and used as the input for the construction of the general model.ResultsThe new methodology resulted to a 4-fold increase of the peaks that could be considered chromatographically and mass spectrometrically valid.ConclusionA new strategy was reported on the detection of chromatographically reliable features during a metabolomic approach. The shredding of the LC-MS chromatograms into multiple m/z ranges increased the number of the identified chromatographically reliable features.
Journal: Journal of Chromatography B - Volume 1047, 15 March 2017, Pages 106-114