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The panel weighs non-targeted screening against total PFAS measurement to catch the compounds routine targeted methods may miss entirely.

Various chromatography-spectrometry techniques map lipids to isolate omega-3s from algae.

Shimadzu's new TOC-1000e S continuously monitors ultrapure water for chip and precision manufacturing.

Gas chromatography-mass spectrometry (GC-MS) identifies compounds in essential oils that fight cucumber mildew.

Sheher Mohsin and Jeremy Koemel identify the biggest bottlenecks in non-targeted PFAS workflows, from CCS libraries to human review.

The panelists debate how to harmonize PFAS methods across a rapidly expanding, poorly standardized universe of compounds.

Lapo Renai from the Van 't Hoff Institute for Molecular Sciences, The Netherlands discusses a novel prediction model for estimating chemical space coverage for non-targeted LC–ESI–HRMS workflows.

With 960,000 empirically acquired standards, Siuzdak shows how METLIN delivers reliable, cross-instrument IDs and reveals fragmentation artifacts.

Sensor gas chromatography (GC) determines whether water chasers change alcohol metabolism.

Headspace-gas chromatography-ion mobility spectrometry (HS-GC-IMS) tracks how baking temperature shapes low-protein cookie flavor.

Sheher Mohsin and Jeremy Koemel walk through a real CCS Atlas example showing how homologous series confirm unknown PFAS identifications.

Monolithic material sorptive extraction coupled with gas chromatography-mass spectrometry (MMSE-GC-MS) identifies 42 aroma compounds in defective coffee beans.

High-performance liquid chromatography with electrochemical detection (HPLC-ED) finds elevated norepinephrine levels in oral cancer patients.

Jeremy Koemel discusses detecting low-intensity PFAS features when MS/MS signal is too weak, and how they work around it.

As metabolomics datasets balloon, Siuzdak explains using retention time and in-source fragmentation checks to separate real molecules from artifacts.



















