Automated LC and 2D-LC method development is key to wider adoption, but major challenges remain. This talk presents new algorithms and strategies to optimize separations using modeling and machine learning.

In this presentation, we will discuss the outcome of applying RPLC × HILIC hyphenated to UV, IMS and HRMS, to support the compound identification.

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

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

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

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

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.

On the third day of MDCW 2025 we saw 9 scientific presentations, 4 flash talks, SCSC Poster Awards and Closing Remarks. See you January 13-15, 2026 in USA.

On the second day of MDCW 2025 we saw 10 scientific presentations, 9 flash talks, a poster session and a guided discussion.

On the first day of MDCW 2025 we saw 10 scientific presentations, 10 flash talks, a poster session and a guided discussion.