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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.

Centrifugal partition chromatography (CPC) skips solid columns, separates via two immiscible liquid phases

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.

Liquid chromatography-mass spectrometry (LC-MS) profiling links blood biomarkers to cardiotoxicity.

Masashi Serizawa and Andrea Gargano, researchers at the Van ‘t Hoff Institute for Molecular Sciences (HIMS, University of Amsterdam) sit down with LCGC International to discuss how reversed-phase liquid chromatography and high-resolution mass spectrometry (RPLC-HRMS) analysis of degraded PLGA oligomers reveals block-length differences behind solubility variation in copolymers.

Sheher Mohsin explains how CCS measurements add a physical confirmation layer beyond mass and retention time in PFAS analysis.

Siuzdak separates true standard-based empirical spectra from artifactual signals, warning AI trained on flawed data risks perpetuating errors.

High-performance liquid chromatography (HPLC) profiles serum N-glycan ratios to track psoriasis severity and treatment.


















