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Humboldt-Universität zu Berlin - Faculty of Mathematics and Natural Sciences - Department of Chemistry

Bioanalytical Chemistry


Office Location
Department of Chemistry
Brook-Taylor-Str. 2
12489 Berlin
+49 (0)30 2093 7588
Prof. Dr. Dietrich Volmer
Bioanalytical Chemistry
Our interdisciplinary research programme focuses on biological mass spectrometry, separation techniques and instrument development. The team applies innovative instrumental developments to research in metabolomics and lipidomics, with particular emphasis on measuring indicators or biomarkers of disease and nutritional status. Examples include highly automated methods for qualitative and quantitative measurement of low molecular weight endogenous metabolites and metabolic fingerprints, chemical labeling techniques for metabolite profiling and clinical studies (e.g. vitamin D metabolism). We also develop novel ionization methods and study the ion/molecule chemistry of gas phase protomers or macromolecules and their interactions with small ligands. Finally, the group specializes on the analysis of very complex samples using high resolution mass spectrometry.
Selected recent publications
Rzagalinski I, Hainz N, Meier C, Tschernig T, Volmer DA, MALDI Mass Spectral Imaging of Bile Acids Observed as Deprotonated Molecules and Proton-Bound Dimers from Mouse Liver Sections. J Am Soc Mass Spectrom 2018, 29, 711-722.
Crawford EA, Gerbig S, Spengler B, Volmer DA. Rapid fingerprinting of lignin by ambient ionization high resolution mass spectrometry and simplified data mining. Anal Chim Acta 2017, 994, 38-48.
Müller MJ, Stokes CS, Volmer DA, Quantification of the 3α and 3β epimers of 25-hydroxyvitamin D3 in dried blood spots by LC-MS/MS using artificial whole blood calibration and chemical derivatization. Talanta 2017, 165, 398-404.
Crawford EA, Esen C, Volmer DA, Real time monitoring of containerless microreactions in acoustically levitated droplets via ambient ionization mass spectrometry. Anal Chem 2016, 88, 8396-8403.
Qi Y, Hempelmann R, Volmer DA, Two-dimensional mass defect matrix plots for mapping genealogical links in mixtures of lignin depolymerisation products. Anal Bioanal Chem 2016, 408, 4835-4843.