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.
How to get inside a cell? Dr. Mario Vazdar’s project explores arginine behaviour
A GAČR-supported project led by Dr. Mario Vazdar investigates how arginine-rich peptides penetrate cells, aiming to clarify key mechanisms in targeted drug delivery and membrane biochemistry.
Fr, 16.5.2025
UCT Prague
Article | Product
When is Evaporation Under Vacuum Helpful?
This article explores when and why evaporation under vacuum is helpful, highlighting its advantages, applications, and key considerations.
Th, 15.5.2025
Organomation
Article | Product
How to Use HPLC Cloud - A Complete Guide
SIELC has developed the first and only HPLC software that is accessible via the cloud.
We, 14.5.2025
Bioanalytic
Article | Application
News from LabRulezLCMS Library - Week 20, 2025
This week we bring you technical note by Agilent Technologies, application notes by Metrohm, Shimadzu and Waters Corporation and other document by Thermo Fisher Scientific!
We, 14.5.2025
LabRulez
Article | Product
KnowItAll 2025 Maintenance Release 2025.1 Available
We’re pleased to release the first update for KnowItAll 2025, improving performance and fixing issues introduced since the major release featuring new tools and enhancements.
Tu, 13.5.2025
Wiley
Article | Product
Why You Need a Verification-Class Mass Spectrometer: Solving the Top 5 Pain Points of Translational Metabolomics Researchers
This is the third in a multi-part blog series highlighting the key attributes and impressive benefits of the Stellar mass spectrometer—the first-of-its-kind instrument.
Assessment of LC-QTOF-MS data independent acquisition for quantification and suspect screening of pesticides in agriculture impacted water samples
This study assesses the use of LC-QTOF-MS with data independent acquisition for quantifying target pesticides and screening suspects in agriculture-impacted water samples.