Christopher Freye (LANL) presents non-targeted PFAS analysis using LC-MS, GC×GC-TOFMS, and HRMS. Novel workflows reveal complex PFAS fingerprints in fluoropolymers and explosives.

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Peak detection is crucial in GC×GC & LC×LC workflows. We study how signal features impact detection performance, helping select tools for both manual and automated method development.

This week we bring you presentation by Agilent Technologies, application notes by Metrohm, Shimadzu and other document by Thermo Fisher Scientific!

LC-GC×GC-FID/TOFMS enhances MOSH/MOAH analysis in food ingredients and additives, helping to resolve coelutions and reduce interpretation errors beyond current ISO 20122:2024 limitations.

This week we bring you application notes by Shimadzu, Thermo Fisher Scientific and Waters Corporation and presentation by Agilent Technologies!

Automated LC and 2D-LC method development is key to wider adoption, but major challenges remain. This talk presents new algorithms and strategies to optimize separations using modeling and machine learning.

This week we bring you application notes by Shimadzu and Waters Corporation, presentation by Agilent Technologies and technical notes by Knauer and Thermo Fisher Scientific!

In this presentation, we will discuss the outcome of applying RPLC × HILIC hyphenated to UV, IMS and HRMS, to support the compound identification.

In this presentation the first results of the coupling of 2D-LC and GC methods with ion mobility mass spectrometry are presented.