Discover smarter LC-MS sample preparation strategies—dilute-and-shoot, PPT, LLE, SPE, automation & microsampling—for cleaner samples, robust toxicology results and efficient workflows.

The review compiles R and Python tools for analyzing lipidomics and metabolomics data, guiding beginners to create publication-ready graphics and enabling robust, reproducible chemometric analysis.

A RECETOX study shows that exposure to toxic polycyclic aromatic hydrocarbons (PAHs) in the Czech population decreased between 2011–2020, thanks to laws and cleaner practices.

UPCE scientists co-authored a Nature Communications paper presenting best practices in R and Python for statistical processing and visualization of lipidomics and metabolomics data.

UCT Prague researchers introduce “Lab-on-a-Scalpel,” a 3D-printed surgical tool with an electrochemical sensor, offering a glimpse into real-time diagnostics during surgery.

This study introduces acrylamide monolith HILIC-MS for intact mAb glycoprofiling, offering high selectivity, baseline separation, and detection of low-abundance glycoforms missed by RPLC-MS.

The ATEBIO workshop in Hradec Králové introduced students to modern automated sample preparation using nanofibers and programmable systems in lab practice.

Scientists at IOCB Prague created MSⁿLib, a vast mass spectrometry library with millions of records, enabling rapid unknown compound identification and boosting drug discovery and biomedical AI.

Ion-pairing HILIC improves impurity profiling of therapeutic oligonucleotides. It resolves deaminated impurities from full-length products, beyond current LC-MS limits.

Discover why fragmentation is vital in mass spectrometry for peptide sequencing, protein characterization, and advanced proteomics applications.