Development and thorough evaluation of a multi-omics sample preparation workflow for comprehensive LC-MS/MS-based metabolomics, lipidomics and proteomics datasets
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.
GC–MS as a valuable tool for analysing cannabinoid-containing gummies and identifying the synthetic process used for their production
This study aims to validate a GC–MS method for detecting cannabinoids in seized gummies, enabling identification, quantification, and insights into their natural or synthetic origin and synthesis pathways.
This week we bring you application note by Shimadzu, posters by Agilent Technologies/ASMS and Thermo Fisher Scientific/ASMS and presentation by William & Mary/MDCW!
Non-invasive and early detection of tomato spotted wilt virus infection in tomato plants using a hand-held Raman spectrometer and machine learning modelling
This study develops a rapid, non-invasive method for early TSWV detection in tomatoes using handheld Raman spectroscopy and machine learning, enabling in-field diagnostics before symptoms appear.
Advanced LC-MS/MS method for selective quantification of nitrosamine impurities in Risperidone: Enhancing drug safety
The study presents a validated LC-MS/MS method for rapid and accurate quantification of four nitrosamine impurities in Risperidone, supporting enhanced impurity monitoring and quality control.