Liquid chromatography and differential mobility spectrometry-data-independent mass spectrometry for comprehensive multidimensional separations in metabolomics.
Lysi EkmekciuGérard HopfgartnerPublished in: Analytical and bioanalytical chemistry (2023)
The benefits of combining drift time ion mobility (DTIMS) with liquid chromatography-high-resolution mass spectrometry (HRMS) have been reported for metabolomics but the use of differential time mobility spectrometry (DMS) is less obvious due to the need for rapid scanning of the DMS cell. Drift DTIMS provides additional precursor ion selectivity and collisional cross-section information but the separation resolution between analytes remains cell- and component-dependent. With DMS, the addition of 2-propanol modifier can improve the selectivity but on cost of analyte MS response. In the present work, we investigate the liquid chromatography-mass spectrometry (LC-MS) analysis of a mix of 50 analytes, representative for urine and plasma metabolites, using scanning DMS with the single modifiers cyclohexane (Ch), toluene (Tol), acetonitrile (ACN), ethanol (EtOH), and 2-propanol (IPA), and a binary modifier mixture (cyclohexane/2-propanol) with emphasis on selectivity and signal sensitivity. 1.5% IPA in the N 2 stream was found to suppress the signal of 50% of the analytes which could be partially recovered with the use of IPA to 0.05% as a Ch/IPA mixture. The potential to use the separation voltage/compensation voltage/modifier (SV/CoV/Mod) feature as an additional analyte identifier for qualitative analysis is also presented and applied to a data-independent LCxDMS-SWATH-MS workflow for the analysis of endogenous metabolites and drugs of abuse in human urine samples from traffic control.
Keyphrases
- liquid chromatography
- mass spectrometry
- high resolution mass spectrometry
- high resolution
- gas chromatography
- tandem mass spectrometry
- ultra high performance liquid chromatography
- capillary electrophoresis
- solid phase extraction
- high performance liquid chromatography
- electronic health record
- simultaneous determination
- single cell
- ms ms
- endothelial cells
- cell therapy
- air pollution
- machine learning
- big data
- systematic review
- ionic liquid
- multiple sclerosis
- single molecule
- induced pluripotent stem cells
- cross sectional
- deep learning
- psychometric properties
- risk assessment