The lipidOmics group focuses on the development and application of advanced lipidomic and bioanalytical workflows for the analysis of complex biological systems. Our research combines chromatography, mass spectrometry, and analytical method development to improve the understanding of lipid diversity and its biological significance.
Current research projects
Lipidomics of extracellular vesicles and nanobioparticles
We investigate the heterogeneity of extracellular vesicles and other nanobioparticles using integrated analytical workflows combining fractionation strategies and lipidomic profiling. Particular emphasis is placed on understanding how membrane composition and physicochemical properties relate to biological function.
Check our publications:
https://www.nature.com/articles/s41598-026-50782-x
https://pubs.acs.org/doi/full/10.1021/acs.jproteome.5c00156
Human milk and infant nutrition research
We study the lipid composition of human milk and milk-derived nanobioparticles, with particular interest in bioactive lipids. Our work aims to understand better the molecular complexity of milk and its potential role in infant development and health.
Check our publications:
https://pubs.acs.org/doi/full/10.1021/acs.jafc.3c04489
https://www.mdpi.com/2072-6643/12/7/2165
https://pubs.acs.org/doi/full/10.1021/acs.jafc.8b04031
Bioanalytical workflows for complex biological samples
We develop robust analytical pipelines for complex biological matrices including cells, milk, and other biofluids. Research activities include sample preparation, chromatographic optimization, and high-resolution mass spectrometry approaches for biomedical applications.
Check our publications:
https://pubs.acs.org/doi/full/10.1021/acs.jproteome.5c00156
https://www.sciencedirect.com/science/article/pii/S0165993624004242
https://www.sciencedirect.com/science/article/pii/S0308814622002515
https://www.mdpi.com/1422-0067/21/23/8883
https://www.sciencedirect.com/science/article/pii/S0308814619304534
Method development and quality control in lipidomics
We study factors affecting the quality and reproducibility of lipidomic data, including analytical variability, quantitative performance, and quality control strategies for comparative studies.
https://pubs.acs.org/doi/full/10.1021/acs.jproteome.1c00760