Drug Discovery Where the Market Doesn’t Go: Targeting Neglected & Opportunistic Pathogens
Explore how researchers tackle neglected diseases using advanced drug discovery strategies, binding kinetics, and analytical tools including chromatography and metabolomics.
Article | Laboratories
Is Your University Lab Losing Time and Data in Sample Prep? Here’s How to Fix It
Speed up sample prep with nitrogen blowdown evaporation. Improve recovery, reproducibility, and throughput in LC-MS and GC-MS workflows.
Article | Application
News from LabRulezLCMS Library - Week 17, 2026
This week we bring you application notes by Agilent Technologies, KNAUER, Shimadzu and Waters Corporation and technical note by Thermo Fisher Scientific!
Article | Science and research
GPC/SEC Made Easy – Fingerprint analysis of Gummy Candies
Discover the science behind gummy candies and how SEC fingerprinting ensures consistent texture, ingredient verification, and quality control in complex formulations.
Article | Academy
How to Select the Right SEC Column for the Analysis of Biologics
How to select the right SEC column for biologics? A practical guide based on molecule size, shape, pore size selection, and application range.
Article | Product
Connecting Discovery and Compliance: Compound Discoverer Software Meets Chromeleon CDS
Bridge discovery and compliance with Chromeleon 7.4 and Compound Discoverer 3.5. Seamlessly transfer MS data, streamline workflows, and generate compliant reports without manual steps.
Article | Events
21st GC×GC Symposium - Invited Speakers
Meet leading invited speakers at ISCC 2026 and the GC×GC Symposium, featuring world-renowned experts presenting the latest advances in chromatography, MS, and analytical science.
Article | Academy
How can proficiency testing help my laboratory?
Learn how proficiency testing (PT) supports quality assurance in analytical laboratories, from z-score evaluation to bias assessment and long-term performance monitoring.
LCMS-Net: Deep Learning for Raw High Resolution Mass Spectrometry Data Applied to Forensic Cause-of-Death Screening
LCMS-Net is an end-to-end deep learning model for raw LC-HRMS data, improving accuracy, reducing preprocessing, and minimizing batch effects in metabolomics.