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Siuzdak argues the field must correct AI-fueled “phantom metabolites” before trusting predictive models, favoring experimentally grounded measurement.

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.

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.

This week, Chromatography Online presented ASMS 2026 recaps, HILIC deep-dives, AI in drug discovery, and a public health story from GC-MS.

Gas chromatography-mass spectroscopy (GC–MS) and high-performance liquid chromatography (HPLC) reveal how stir-frying builds complex flavors stage by stage.

Gary Siuzdak explains how uMRM converts inconsistent untargeted LC–MS data into standardized MRM transitions.

In the final installment of this four-part series, Yifan Liu of Northeastern University (Boston, MA) forecasts where metabolomics will be headed in the next ten years.

James Grinias from Rowan University, New Jersey, USA, discusses sustainability and modern capillary LC systems.

Two-dimensional gas chromatography (2D- GC) identifies 88 sulfur compounds shaping the key aromas of soy sauce flavor Baijiu.

The panel unpacks the defining challenge of PFAS analysis: a chemical class so vast and diverse it pushes current methods to their limits.

Jim Grinias from Rowan University, NJ, USA highlights advances in miniaturized capillary LC–MS that simplify system setup and improve ease of use. He also discusses low-flow challenges and how integrated components can enhance performance and reproducibility.