A new dried plasma microsampling device enables home sampling with high precision and stability, correlating strongly (R > 0.99) with conventional plasma in targeted proteomic analysis.

This study aims to develop and validate a rapid IC-ICP-MS method for identifying and quantifying polyphosphonates and their transformation products under environmental conditions.

This study evaluates the risk of NDMA formation from macrolide antibiotics, highlighting solubility-related analytical challenges and the role of drug form and storage in NDMA levels.

Scientists at IOCB Prague created an eco-friendly method to recycle rare earths like neodymium from magnets, offering a sustainable alternative to mining and boosting EU & US raw material security.

This study aimed to develop and compare ten extraction protocols to find the most effective method for generating metabolomics, lipidomics, and proteomics data from postmortem tissue.

The study analyzes polyphenol profiles in 14 apple genotypes using Folin, RP-HPLC, and LC-MS to identify apples with potential for cider production, breeding, and health-related applications.

Assess authenticity and detect adulteration in Tribulus terrestris supplements using untargeted LC-HRMS metabolomics combined with chemometric and AI tools.

This study analyzed Withania somnifera extracts from various eco-friendly methods using LC-MS/NMR, and evaluated their metabolite profiles and tyrosinase inhibitory activity.

This study aims to develop an IC-ICP-OES method to identify and quantify 28 inositol phosphate isomers in food and feed, offering low detection limits and high reproducibility.

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.