The study develops an LC-MS/MS method with isolator column and SPE for accurate FFA profiling in wort, aiming at improved efficiency and application in beer quality studies.

The study develops a green DLLME-GC-MS/MS method using natural deep eutectic solvents to preconcentrate and detect pesticides in drinking water with optimized conditions.

A team at IOCB Prague revealed a novel phase where liquids flip rapidly between metal and nonmetal states. The theory, based on advanced modeling, was featured in Nature Communications.

A GC–MS/MS method was optimized for pesticide analysis in mealworms by modifying QuEChERS extraction to improve recovery and reduce matrix effects in this complex, high-fat sample.

This study developed and validated a GC-ITQ-MS method for detecting OH-PAHs in wastewater, focusing on sample prep optimization and pollutant stability in real samples.

This study aims to detect and quantify coffee adulteration using SPME-GC–MS and chemometrics to classify samples and identify chemical markers of authenticity.

Karel Havlíček founded a start-up with a friend to bring 3D printing to medicine and is working as a researcher at TUL on water purification using nanofibres.

This study evaluates PFAS emissions from firefighter jackets using TD-GC×GC-TOF MS, comparing layers and wear conditions to assess exposure routes and identify discriminating chemical features.

Every building tells a story. Chemical analysis reveals hidden changes in materials like plaster or brick, helping experts restore historical structures with care and precision.

Develop a simplified, green CZC-GC-MS method for semi-quantitative analysis of 16 PAHs in olive oil with minimal extraction, improved sensitivity, and reliable performance.