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Indexed by:期刊论文

Date of Publication:2017-10-16

Journal:ANALYTICA CHIMICA ACTA

Included Journals:Scopus、SCIE、EI、PubMed

Volume:990

Page Number:96-102

ISSN No.:0003-2670

Key Words:Liquid chromatography-mass spectrometry; Metabolomics; Peak alignment; Tandem mass spectrometry; Metabolic profiling

Abstract:Liquid chromatography-mass spectrometry (LC-MS) is an important analytical platform for metabolomics study. Peak alignment of metabolomics dataset is one of the keys for a successful metabolomics study. In this work, a MS/MS-based peak alignment method for LC-MS metabolomics data was developed. A rigorous strategy for screening endogenous reference variables was proposed. Firstly, candidate endogenous reference variables were selected based on MS, MS/MS and retention time in all samples. Multiple robust endogenous reference variables were obtained through further evaluation and confirmation. Then retention time of each metabolite feature was corrected by local linear regression using the four nearest neighbor robust reference variables. Finally, peak alignment was carried out based on corrected retention time, MS and MS/MS. Comparing with the other two peak alignment methods, the developed method showed a good performance and was suitable for metabolomics data with larger retention time drift. Our approach provides a simple and robust alignment method which is reliable to align LC-MS metabolomics dataset. (c) 2017 Elsevier B.V. All rights reserved.