TD/PY-GC×GC-MS enables detailed analysis of complex pyrolysis products. Soft ionization reveals high-mass compounds undetectable by GC-MS or GC×GC-MS.

In this presentation the first results of the coupling of 2D-LC and GC methods with ion mobility mass spectrometry are presented.

This talk presents parallel analyses of multidimensional chromatographic data in time and frequency domains using open source tools.

2D-LC-MS improves peptide impurity profiling by enabling salt-based eluents, detecting co-eluting isomers, and solving challenges with shifting retention times.

Using GC×GC-TOFMS, we assess cannabis exposure in mothers and infants via urine, milk, and passive samplers, identifying metabolites and informing prenatal care.

MD-LC-MS advances structural and functional analysis of mAbs, showing how post-translational changes impact FcRn/FcγR binding and antibody therapeutic performance.

Using HT-GC×GC-HRMS and Pearson correlation, 18 VGOs were ranked by properties, and key chemical differences were visualized across complex chromatograms.

We explore open-source LC×LC-HRMS workflows for non-target screening, highlighting variable selection and curve-resolution to improve trace-level compound detection.

A GC×GC-FID/MS fusion workflow boosts template matching, enhancing allergen detection and quantification in food volatilomics and fragrance profiling.

This study introduces a 2D-LC-MS method for AAV characterization, integrating SEC and RP-LC-MS to analyze HMWs, viral proteins, and PTMs, improving gene therapy vector assessment.