LCMS-Net is an end-to-end deep learning model for raw LC-HRMS data, improving accuracy, reducing preprocessing, and minimizing batch effects in metabolomics.

Explore how membrane science supports water treatment, selective separations, and analytical workflows, with insights into RO, PFAS removal, scale-up challenges, and sustainable membrane design.

Interview with Sabina Cerulová at RECETOX on genetic mutation research, animal models, and advancing patient-focused science.

This study uses ASAP-IMS-HRMS to characterize and classify Asian lacquers by origin, detecting phenols, pigments, and resins in historical samples.

IOCB Prague researchers developed potent CD73 inhibitors that restore T cell activity and reduce adenosine, opening new paths for cancer immunotherapy.

Explore N-glycans in dietary proteins, their structural diversity, analytical workflows (HILIC-LC/MS, MALDI-TOF), and their emerging role in gut microbiome research.

This study introduces an MS/MS filtering tree workflow to distinguish bile acid isomers in LC-MS/MS data using ion intensity ratios and a web-based tool.

Automated mass spectrometry using dried matrix spots, surface energy traps and LMJSSP enables greener workflows, reduced sample prep and direct surface analysis with improved reproducibility.

This study shows native protein stability in IMS-MS varies with ionization polarity, being higher when ionization matches solution-phase charge.

Discover how regulated drinking water laboratories use GC-MS and LC-MS, rigorous QC protocols, and PFAS-focused workflows to ensure reliable analytical results and protect public health.