LC-MS-based metabolomics for detecting adulteration in Tribulus terrestris-derived dietary supplements
Assess authenticity and detect adulteration in Tribulus terrestris supplements using untargeted LC-HRMS metabolomics combined with chemometric and AI tools.
Mo, 9.6.2025
LabRulez
Article | Application
News from LabRulezLCMS Library - Week 23, 2025
This week we bring you application notes by Agilent Technologies, Knauer, Shimadzu, Thermo Fisher Scientific and Waters Corporation!
Metabolomics of Withania somnifera L. extracts by an integrated LC-MS and NMR approach and evaluation of their tyrosinase inhibitory activity
This study analyzed Withania somnifera extracts from various eco-friendly methods using LC-MS/NMR, and evaluated their metabolite profiles and tyrosinase inhibitory activity.
Mo, 2.6.2025
LabRulez
Article | Application
News from LabRulezLCMS Library - Week 22, 2025
This week we bring you application notes by Agilent Technologies, Knauer, Shimadzu and Waters Corporation and brochure by Thermo Fisher Scientific!
We, 28.5.2025
LabRulez
Scientific article | Science and research
Ion chromatography coupled with optical emission spectrometry (IC-ICP-OES) methodology for the analysis of inositol phosphates in food and feed
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.
Mo, 26.5.2025
LabRulez
Scientific article | Science and research
Profiling of free fatty acids in wort using an isolator column-assisted LC-MS/MS approach
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.
This week we bring you presentation by Agilent Technologies, application notes by Metrohm, Shimadzu and other document by Thermo Fisher Scientific!
We, 21.5.2025
LabRulez
Scientific article | Science and research
A novel LC-MS/MS assay for low concentrations of creatinine in sweat and saliva to validate biosensors for continuous monitoring of renal function
This study develops and validates an LC-MS/MS assay to quantify low creatinine levels in sweat and saliva, supporting non-invasive biosensor-based kidney function monitoring during haemodialysis.