Dissemination and analysis of the quality assurance (QA) and quality control (QC) practices of LC–MS based untargeted metabolomics practitioners
Authors/Creators
- Anne M. Evans
- Claire O’Donovan
- Mary Playdon
- Chris Beecher
- Richard D. Beger
- John A. Bowden
- David Broadhurst, Edith Cowan UniversityFollow
- Clary B. Clish
- Surendra Dasari
- Warwick B. Dunn
- Julian L. Griffin
- Thomas Hartung
- Ping Ching Hsu
- Tao Huan
- Judith Jans
- Christina M. Jones
- Maureen Kachman
- Andre Kleensang
- Matthew R. Lewis
- María Eugenia Monge
- Jonathan D. Mosley
- Eric Taylor
- Fariba Tayyari
- Georgios Theodoridis
- Federico Torta
- Baljit K K. Ubhi
- Dajana Vuckovic
- Metabolomics Quality Assurance, Quality Control Consortium (mQACC)
Abstract
© 2020, Springer Science+Business Media, LLC, part of Springer Nature. Introduction: The metabolomics quality assurance and quality control consortium (mQACC) evolved from the recognized need for a community-wide consensus on improving and systematizing quality assurance (QA) and quality control (QC) practices for untargeted metabolomics. Objectives: In this work, we sought to identify and share the common and divergent QA and QC practices amongst mQACC members and collaborators who use liquid chromatography-mass spectrometry (LC–MS) in untargeted metabolomics. Methods: All authors voluntarily participated in this collaborative research project by providing the details of and insights into the QA and QC practices used in their laboratories. This sharing was enabled via a six-page questionnaire composed of over 120 questions and comment fields which was developed as part of this work and has proved the basis for ongoing mQACC outreach. Results: For QA, many laboratories reported documenting maintenance, calibration and tuning (82%); having established data storage and archival processes (71%); depositing data in public repositories (55%); having standard operating procedures (SOPs) in place for all laboratory processes (68%) and training staff on laboratory processes (55%). For QC, universal practices included using system suitability procedures (100%) and using a robust system of identification (Metabolomics Standards Initiative level 1 identification standards) for at least some of the detected compounds. Most laboratories used QC samples ( > 86%); used internal standards (91%); used a designated analytical acquisition template with randomized experimental samples (91%); and manually reviewed peak integration following data acquisition (86%). A minority of laboratories included technical replicates of experimental samples in their workflows (36%). Conclusions: Although the 23 contributors were researchers with diverse and international backgrounds from academia, industry and government, they are not necessarily representative of the worldwide pool of practitioners due to the recruitment method for participants and its voluntary nature. However, both questionnaire and the findings presented here have already informed and led other data gathering efforts by mQACC at conferences and other outreach activities and will continue to evolve in order to guide discussions for recommendations of best practices within the community and to establish internationally agreed upon reporting standards. We very much welcome further feedback from readers of this article.
Keywords
LC-MS, Metabolomics quality assurance and quality control consortium (mQACC), Quality assurance, Quality control, Untargeted metabolomics
Document Type
Journal Article
Date of Publication
2020
ISSN
15733882
Volume
16
Issue
10
Publication Title
Metabolomics
Publisher
Springer
School
School of Science
RAS ID
32921
Copyright
subscription content
Comments
Evans, A. M., O’Donovan, C., Playdon, M., Beecher, C., Beger, R. D., Bowden, J. A., ... Vuckovic, D. (2020). Dissemination and analysis of the quality assurance (QA) and quality control (QC) practices of LC–MS based untargeted metabolomics practitioners. Metabolomics, 16(10), article 113. https://doi.org/10.1007/s11306-020-01728-5