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MetabolomicsImproving the Screening Analysis of Pesticide Metabolites in Human Biomonitoring by Combining High-Throughput In Vitro Incubation and Automated LC-HRMS Data Processing
There is a current need to monitor human exposure to a large number of pesticides and other chemicals of emerging concern (CECs). This requires screening analysis with high confidence for these compounds and their metabolites in complex matrices, which is hampered by the fact that no reference stand...
2022-01-17 | MTBLS2402 | MetaboLights
MetabolomicsAutomated Label-free Quantification of Metabolites from Liquid Chromatography–Mass Spectrometry Data (Plasma)

Liquid chromatography coupled to mass spectrometry (LC-MS) has become a standard technology in metabolomics. In particular, label-free quantification based on LC-MS is easily amenable to large-scale studies and thus well suited to clinical metabolomics. Large-scale studies, however, require autom...

2015-12-16 | MTBLS234 | MetaboLights
MetabolomicsDirect infusion mass spectrometry metabolomics dataset: a benchmark for data processing and quality control
Direct-infusion mass spectrometry (DIMS) metabolomics is an important approach for characterising molecular responses of organisms to disease, drugs and the environment. Increasingly large-scale metabolomics studies are being conducted, necessitating improvements in both bioanalytical and computatio...
2022-05-16 | MTBLS79 | MetaboLights
MetabolomicsDIAMetAlyzer allows automated false-discovery rate-controlled analysis for data-independent acquisition in metabolomics
The extraction of meaningful biological knowledge from high-throughput mass spectrometry data relies on limiting false discoveries to a manageable amount. For targeted approaches in metabolomics a main challenge is the detection of false positive metabolic features in the low signal-to-noise ranges ...
2022-09-05 | MTBLS1108 | MetaboLights
MetabolomicsAutomated Label-free Quantification of Metabolites from Liquid Chromatography–Mass Spectrometry Data (Simulated)

Liquid chromatography coupled to mass spectrometry (LC-MS) has become a standard technology in metabolomics. In particular, label-free quantification based on LC-MS is easily amenable to large-scale studies and thus well suited to clinical metabolomics. Large-scale studies, however, require autom...

2015-12-16 | MTBLS235 | MetaboLights
MetabolomicsAutomated, Parallel Mass Spectrometry Imaging and Structural Identification of Lipids
We report a method that enables automated data-dependent acquisition of lipid tandem mass spectrometry data in parallel with a high-resolution mass spectrometry imaging experiment. The method does not increase the total image acquisition time and is combined with automatic structural assignment. Thi...
2018-05-21 | MTBLS597 | MetaboLights
MetabolomicsHigh-Precision Automated Workflow for Urinary Untargeted Metabolomic Epidemiology
Urine is a non-invasive biofluid that is rich in polar metabolites and well-suited for metabolomic epidemiology. However, due to individual variability in health and hydration status, the physiological concentration of urine can differ >15-fold, which can pose major challenges in untargeted LC-MS me...
2021-06-10 | MTBLS2295 | MetaboLights
MetabolomicsAROMA-GC: Green Automated Plasma Metabolome Profiling

Metabolomics enables the comprehensive profiling of low–molecular weight metabolites that reflect the interplay between environmental exposures and endogenous biological processes. As the downstream output of genomic, transcriptomic, proteomic, and epigenomic networks, the metabolome provides the...

2026-08-24 | MTBLS13319 | MetaboLights
MetabolomicsMetaboFIMS: An automated workflow for fast and sensitive metabolic screening of large patient cohorts
Development of a fully untargeted FI-MS processing pipeline.
2026-04-24 | MTBLS14362 | MetaboLights
MetabolomicsAssessment of automated trimethylsilyl derivatisation protocols for GC-MS-based untargeted metabolomic analysis of urine
GC-MS is a commonly used metabolomic platform for the analysis of urine. A key step in the preparation of samples for GC-MS is derivatisation, in particular, methoximation and trimethylsilylation. This paper presents an assessment of automated derivatisation protocols for GC-MS-based untargeted meta...
2015-09-28 | MTBLS171 | MetaboLights
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