LCGC Interviews

LCGC International spoke to Cristian Reale about an eco-friendly SFC-PDA method that rapidly measures furocoumarins in Citrus essential oils.

In preparative chiral supercritical fluid chromatography (SFC), adding 2.5–5% water cuts retention times and narrows collection windows, boosting throughput.

Princeton Chromatography's Jeff Caldwell says SFC can now complete separations in 10–15 seconds.

Perception, not technology, remains the biggest barrier to supercritical fluid chromatography (SFC) adoption, says JASCO's Tom DePhillipo.

UHPLC–MS/MS and GC×GC methods are cutting food-safety testing times while quantifying hundreds of mycotoxins and mineral oil hydrocarbons at once.

A two-dimensional gas chromatography-time-of-flight mass spectrometry method detects legacy pesticides and PCBs below guideline levels.

A new study revealed Australian drinking water contained 0.3–0.7 μg/L nanoplastics and 0.5–1.5 μg/L microplastics. Polypropylene nanoplastics were identified, with 10⁶–10⁷ particles/mL in tap water.

The identification-confidence framework used to rank suspect and non-intentionally added substance (NIAS) detections is discussed.

Marinella Vitulli explains how her lab prioritizes and updates its PFAS and bisphenol screening libraries as new analogues emerge.

Summary: A preview of 2026 separation science trends, from PFAS and SFC to metabolomics, next-generation HPLC columns, oligonucleotides, and ADC analysis.

Hans-Gerd Janssen explores the industry's shift from fully integrated online systems to at-line approaches.

A worrying trend has emerged in UK higher education: the systematic erosion of deep, hands-on chromatography instruction and delivery of this key technique by non-experts, according to Tony Edge, President of The Chromatographic Society (ChromSoc). Can this trend be reversed?

Gaëlle Spileers from the Separation Science Group in the Department of Organic and Macromolecular Chemistry at Ghent University, Belgium discusses developments in high performance liquid chromatography (HPLC–XRF) for the analysis of brominated flame retardants and other pollutants.

Gaëlle Spileers from the Separation Science Group in the Department of Organic and Macromolecular Chemistry at Ghent University, Belgium discusses developments in high performance liquid chromatography (HPLC–XRF) for the analysis of brominated flame retardants and other pollutants.

Frederic Lynen from the Separation Science Group in the Department of Organic and Macromolecular Chemistry at Ghent University, Belgium discusses why he worked with Gaëlle Spileers to develop a high performance liquid chromatography X-ray fluorescence (HPLC–XRF) technique to analyze brominated flame retardants and other pollutants.

Melissa Dunkle, senior research scientist at Dow Benelux BV, The Netherlands, explores practical aspects of using multidimensional pyrolysis gas chromatography (Pyr-GCxGC) to investigate fluoropolymer degradation.

Daniel Vik from Amgen Research Copenhagen, Denmark discusses the motivation behind applying machine learning to chromatographic retention time prediction and its growing importance in modern pharmaceutical research. He shares insights into the challenges of developing robust predictive models, their role in supporting high-throughput drug discovery workflows, and the potential of artificial intelligence to make analytical chemistry more efficient and scalable.

Melissa Dunkle, senior research scientist at Dow Benelux BV, The Netherlands, discusses the revival of interest in pyrolysis gas chromatography.

Sheher Mohsin and Jeremy Koemel explore where machine learning and predictive CCS could transform PFAS identification, and what's holding it back.

Andrea Hochegger from Graz University of Technology, Austria describes the benefits that comprehensive two-dimensional GC (GC×GC–MS) offers over conventional GC–MS to resolve complex mixtures from recycled packaging materials.

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

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

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.