Introduction to LC-MS platforms, data types and quality assessment of data
Trainer: Warwick (Rick) Dunn
Overview: The session firstly introduced how metabolomics data is collected applying the most frequently used scientific platform, liquid chromatography-mass spectrometry. Subsequently, it showed an example of how to review and report the quality of LC-MS data using internal standards, pooled QC samples and blank samples.
Learning outcomes
By the end of this lecture the participants were able to:
- Explore applications of liquid chromatography-mass spectrometry in metabolomics studies
- Describe data acquisition and processing for metabolite identification
Materials
Resources
- Towards quality assurance and quality control in untargeted metabolomics studies, Beger et al. 2019.
- Dissemination and analysis of the quality assurance (QA) and quality control (QC) practices of LC–MS based untargeted metabolomics practitioners, Evans et al. 2020.
- Reference materials for MS‑based untargeted metabolomics and lipidomics: a review by the metabolomics quality assurance and quality control consortium (mQACC), Lippa et al. 2022.
- Quality assurance and quality control reporting in untargeted metabolic phenotyping: mQACC recommendations for analytical quality management, Kirwan et al. 2022.
- Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry, Dunn et al. 2011.
- Guidelines and considerations for the use of system suitability and quality control samples in mass spectrometry assays applied in untargeted clinical metabolomic studies, Broadhurst et al. 2018.