Ontology highlight
ABSTRACT: Rationale
Reproducible analytical instrumentation system performance is critical for mass spectrometry, particularly metabolomics, aptly named system suitability testing. We identified a need based on literature reports that stated only 2% of papers performed system suitability testing.Methods
We report MassQLab, built upon open-source, vendor-agnostic software called the mass spectrometry query language (MassQL). MassQL, implemented in MassQLab, provides freedom for researchers to choose their analyte/s, mass spectrometry system (including liquid chromatography-mass spectrometry), and metrics of performance.Results
In this report, we describe the use of MassQLab, demonstrate the construction of the required MassQL query, common metrics of performance (i.e., extract
SUBMITTER: Winter HL
PROVIDER: S-EPMC12404904 | biostudies-literature | 2025 Dec
REPOSITORIES: biostudies-literature