Webinars LabRulezICPMS Week 30/2026
5 webinars: AFM, cleaning validation, DSC, ICP-QQQ, LIBS, metal identification, OES, pharmaceutical analysis, thermal analysis, TOC
Webinars LabRulezLCMS Week 30/2026
15 webinars: ADC, AQbD, biopharma QC, capillary electrophoresis, fluorescence detection, GLP-1, LC-MS, mass spectrometry, MAM, PAT, petrochemical analysis, PFAS, RT-MALS, SAF, titration
Webinars LabRulezGCMS Week 30/2026
5 webinars: GC, GC troubleshooting, method development, permanent gas analysis, petroleum analysis, PFAS, renewable fuels, SAF, Shimadzu, µSPE
Evaluation of the Biostimulant Activity of the Microalgae Chlorella sorokiniana and Scenedesmus sp. and Their Resistance to the Most Widely Used Agricultural Pesticides
This study evaluates the biostimulant effects of two microalgae species and their resistance to widely used agricultural pesticides.
Residue-Level Determination of Small-Molecule–Protein Affinities by Hydrogen–Deuterium Exchange Mass Spectrometry
This study introduces an HDX-MS titration workflow for quantifying protein–ligand affinities at global, peptide, and residue resolution.
Oxidative Polymerization of Organic Compounds in the Presence of Iron-Bearing Minerals: Implications for Organic Preservation on Mars
This study shows that iron minerals promote oxidative polymerization of organic compounds under Mars-like conditions, improving preservation potential.
News from LabRulezICPMS Library - Week 29, 2026
This week we bring you poster by Agilent Technologies / ASMS and application notes by Shimadzu and Waters Corporation!
News from LabRulezLCMS Library - Week 29, 2026
This week we bring you posters by Agilent Technologies / ASMS, Shimadzu / ASMS, Thermo Fisher Scientific / HPLC and Waters Corporation / HPLC and technical note by KNAUER!
News from LabRulezGCMS Library - Week 29, 2026
This week we bring you posters by Agilent Technologies / ASMS, MDCW / William & Mary, and Thermo Fisher Scientific / ASMS and technical note by Shimadzu!
A Rapid, Antigen-Independent Diagnostic Strategy for Chronic Chagas Disease Based on Serum ATR-FTIR Spectroscopy and Machine Learning
This study combines ATR-FTIR serum spectroscopy and machine learning to accurately diagnose chronic Chagas disease without antigen-based assays.
