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Metabolomics 2023 Workshop Report: Moving Toward Consensus on Best QA/QC Practices in LC-MS-Based Untargeted Metabolomics

Published

Author(s)

Tracey Schock, Jonathan Mosley, Warwick Dunn, Julia Kuligowski, Matthew Lewis, Maria Monge, Candice Ulmer Holland, Dajana Vuckovic, Krista Zanetti

Abstract

Introduction: During the Metabolomics 2023 conference, the Metabolomics Quality Assurance and Quality Control Consortium (mQACC) presented a workshop focusing on key quality assurance and quality control (QA/QC) topic categories for LC-MS-based untargeted metabolomics. This is the second workshop in a series presented at consecutive Metabolomics Society conferences. Objectives: The mQACC Best Practices Working Group aimed to disseminate recent findings from forums examining four key QA/QC areas with respect to untargeted LC-MS-based metabolomics and discuss which aspects to include in a living guidance document. Methods: Presentations of four topics, focusing on reference materials, data quality review, metabolite identification/annotation and QA were given. Live polling and a short discussion occurred immediately following each presentation. A discussion regarding the living guidance document concluded the session. Results: Enthusiastic participation in polls and follow-up discussions provided additional data that offered a broad international perspective on QA/QC practices. Conclusions: Community input gathered from this workshop series is being used to shape the living guidance document, which aims to be a continually evolving QA/QC best practices resource for metabolomics researchers.
Citation
Metabolomics

Keywords

metabolomics, quality control (QC) samples, Liquid Chromatography–Mass Spectrometry (LC-MS), metabolite annotation, metabolite identification, reference materials, data quality, quality assurance

Citation

Schock, T. , Mosley, J. , Dunn, W. , Kuligowski, J. , Lewis, M. , Monge, M. , Ulmer Holland, C. , Vuckovic, D. and Zanetti, K. (2024), Metabolomics 2023 Workshop Report: Moving Toward Consensus on Best QA/QC Practices in LC-MS-Based Untargeted Metabolomics, Metabolomics, [online], https://doi.org/10.1007/s11306-024-02135-w, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=957658 (Accessed December 3, 2024)

Issues

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Created July 9, 2024