Development and thorough evaluation of a multi-omics sample preparation workflow for comprehensive LC-MS/MS-based metabolomics, lipidomics and proteomics datasets
LCMSScientific article | Science and research

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.
Development and thorough evaluation of a multi-omics sample preparation workflow for comprehensive LC-MS/MS-based metabolomics, lipidomics and proteomics datasets
GC–MS as a valuable tool for analysing cannabinoid-containing gummies and identifying the synthetic process used for their production
GCMSScientific article | Science and research

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.
GC–MS as a valuable tool for analysing cannabinoid-containing gummies and identifying the synthetic process used for their production
News from LabRulezICPMS Library - Week 26, 2025
ICPMSArticle | Application

News from LabRulezICPMS Library - Week 26, 2025

This week we bring you application notes by Agilent Technologies, Shimadzu, other document by Thermo Fisher Scientific and brochure by Anton Paar!
News from LabRulezICPMS Library - Week 26, 2025
News from LabRulezLCMS Library - Week 26, 2025
LCMSArticle | Application

News from LabRulezLCMS Library - Week 26, 2025

This week we bring you application notes by Agilent Technologies, Shimadzu and Waters Corporation and technical note by Thermo Fisher Scientific!
News from LabRulezLCMS Library - Week 26, 2025
News from LabRulezGCMS Library - Week 26, 2025
GCMSArticle | Application

News from LabRulezGCMS Library - Week 26, 2025

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!
News from LabRulezGCMS Library - Week 26, 2025
Webinars LabRulezICPMS Week 26/2025
ICPMSArticle | Webinars

Webinars LabRulezICPMS Week 26/2025

13 webinars: WDXRF, micro-XRF, ICP-MS, ICP-OES, FTIR, NMR, AFM-IR, SEM, DBTL, Combustion Analysis, Biopolymers, humidity, XRD, Compliance.
Webinars LabRulezICPMS Week 26/2025
Webinars LabRulezGCMS Week 26/2025
GCMSArticle | Webinars

Webinars LabRulezGCMS Week 26/2025

10 webinars: GC methods, VOC, TD-GC-MS, LPGC, FTIR, PFAS, AFM-IR, Vials, Onsite analysis, Environment, Compliance, Air, Pesticides.
Webinars LabRulezGCMS Week 26/2025
Webinars LabRulezLCMS Week 26/2025
LCMSArticle | Webinars

Webinars LabRulezLCMS Week 26/2025

14 webinarts: 6 x PFAS, Oligonucleotides, Nitrosamines, Voltammetry, Omics, Automation, Regulations, Purifications, Pollutants, NDSRI.
Webinars LabRulezLCMS Week 26/2025
Non-invasive and early detection of tomato spotted wilt virus infection in tomato plants using a hand-held Raman spectrometer and machine learning modelling
ICPMSScientific article | Science and research

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.
Non-invasive and early detection of tomato spotted wilt virus infection in tomato plants using a hand-held Raman spectrometer and machine learning modelling
Advanced LC-MS/MS method for selective quantification of nitrosamine impurities in Risperidone: Enhancing drug safety
LCMSScientific article | Science and research

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.
Advanced LC-MS/MS method for selective quantification of nitrosamine impurities in Risperidone: Enhancing drug safety