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LC-MS Interest Group Meeting

Please finde here the printable programme of the LC-MS Interest Group Meeting


LC-MS group-of-interest Meeting

Wednesday, 13.3.2024; 14:00  – 17:00;  Lecture Hall 16



14:00 – 14:15

1. Introduction of the candidates running for the role of the speaker of the LC-MS interest group

2. Election of the future speaker




Hartmut Schlüter, University Medical Center Hamburg-Eppendorf

Where are the future challenges in LC-MS?



Anna Shevchenko, Max Planck Institute, Dresden

Absolute quantification of fluorescently-labelled proteins by mass spectrometry.

P 199



Michael Desor, Waters GmbH, Eschborn,

Data independent analysis evolution exploring the use of high resolving power multi-reflecting time-of-flight mass spectrometry selectivity for metabolite identification

P 208



Tobias Kipura, Institute of Biochemistry, University of Innsbruck:

Absolute quantification of amino acids and tryptophan metabolites from human serum and plasma.



Thomas Letzel, Analytisches Institut für Non-Target Screening:

Mass Spectrometric Non-Target Screening – Interdisciplinary Solutions and Data Handling

15:15 – 15:35 

Coffee Break


Marcel Kwiatkowski, Institute of Biochemistry, University of Innsbruck:

Proteo-Metabo-Flux: Determination of histone acetylation reaction rates by LC-MS.



Ali Biabani: University Medical Center Hamburg-Eppendorf

Sample Displacement Batch Chromatography of Proteoforms



Michael B. Richter, Bundeswehr Institute of Pharmacology and Toxicology, Munich

Identification of disulfide-adducts of small molecule thiols in human plasma resulting from exposure to malodorants.

P 99



Andreas Zellner, Technical University of Munich, Mass Spectrometry in Systems Neurosciences, Freising.

Advancing clinical peptidome profiling in plasma with a robust high-throughput workflow.

P 104



Florian Martin Richter, Hochschule Mannheim, CeMOS Institut für Analytische Chemie, Mannheim.

Site-specific structural changes in long-term stressed monoclonal antibody revealed with DEPC covalent-labeling and quantitative mass spectrometry.

P 188



Karin Yeoh, PreOmics GmbH, Planegg, Germany

Innovative high-throughput ENRICH-iST workflow facilitates fast and deep plasma and serum proteome profiling.

P 37



Stefan Loroch, Medizinisches Proteom-Center Ruhr-Universität Bochum

Towards LC-MS-based Proteomics to Solutions for Crime Scene Investigations