Alasdair Matheson

Giorgia Purcaro from the University of Liege (Belgium) discusses a laboratory technique for more accurately detecting harmful oil contaminants in edible oils than the current official method.

During her PhD at BOKU University Vienna, Lidija Kenjerić developed a multi-class UHPLC–MS/MS quantitative method covering 931 mycotoxins and secondary metabolites within an 11-min runtime, providing a scalable solution for routine testing, regulatory, and emergency response.

Stefan Van Leuwen and Jana Pulkrabova—co-chairs of RAFA 2026—elaborate on why separation scientists involved in food analysis should attend RAFA 2026, which takes place at the Clarion Congress Hotel Prague, Prague, Czech Republic, from November 3–6, 2026.

Hans-Gerd Janssen explores the reality of real-time analytical measurement.

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

30% of GC–MS peak annotations and integrations have been observed to be inaccurate. Hans-Gerd Janssen highlights some of the most promising strategies to improve data reliability and reduce errors.

Hans-Gerd Jansses discusses problems associated with LC–MS peptide identification data with sensory perception and the identification of specific tastants for food analysis.

Hans-Gerd Janssen highlights the important innovations and challenges remaining using hyphenated spearation science techniques in food analysis.

Bo Zhang from Xiamen University, Xiamen, China discusses his upcoming lecture at HPLC 2026 that reveals a new way to design and manufacture chromatographic materials. This new approach indicates that chromatographic media can be intentionally engineered rather than developed through “trial-and-error” synthesis. By independently controlling particle morphology and pore architecture, separation materials can be rationally designed and optimized for specific applications

A session on Thursday 29 May 2026 at HTC-19 in Leuven, Belgium called The Power of The Hyphen brought together five presentations exploring the application of multidimensional and coupled chromatographic methods to complex analytical challenges in food and beverage, petroleum, environmental, and pharmaceutical applications.

James P. Grinias from Rowan University, Glassboro, New Jersey, United States, is the winner of the 2026 HTC Innovation Award, which was presented at the Hyphenated Techniques and Separations Technology (HTC-19) conference in Leuven, Belgium, on Friday May 29, 2026. The award is co-sponsored by the HTC conference and LCGC International.

The first session at HTC-19 in Leuven on Wednesday 27 May 2026 kicked off with an inspiring tryptch of speakers —Caroline West, Leon Barron, and Jackie Mosely—exploring innovative aspects of modern hyphenated chromatography.

An illuminating session called AI and Modelling on Wednesday 27 May 2026 at HTC-19 in Leven, Belgium focused on automated and computational approaches to LC method development, with five presentations spanning Bayesian optimization, hybrid retention modelling, QSAR-based retention prediction, graph-theoretic peak alignment, and functional data analysis

Element Lab Solutions was officially rebranded as Crawford Scientific on 1st May 2026.

Alba Rodriguez Otero combined liquid chromatography with high resolution mass spectrometry (LC–HRMS) with hierarchical cluster analysis to interpret the non-targeted features to assess this novel workflow to asses novel materials for wastewater treatment.

André Striegel gives an update on the evolution of macromolecular separation science and the rationale behind recently publishing his aptly named reference text book: "Macromolecular Separation Science".

With open access to GreenSOL, Elia Psillakis describes how laboratories are adopting it in practice.

The first assessment of deuterated solvents reveals significant, often overlooked environmental burdens tied to essential analytical reagents.

Dr Victoria Samanidou from the School of Chemistry at the Aristotle University of Thessaloniki, Greece, gives a detailed overview of applying green metrics tools in the "real world."

Natalia Manousi from TU Wien, Austria, describes the value of combining the Blue Applicability Grade Index (BAGI) with established metrics to develop methods that are reliable, efficient, and suitable for "real-world" applications.

Elia Psillakis challenges the assumption that bio-based solvents are always greener, urging labs to adopt evidence based choices over simple origin claims.

Elia Psillakis discusses how a life cycle view of solvents exposes unexpected impacts in chemicals long considered safe, challenging entrenched ideas of greenness in analytical labs.

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. Andrea will present on this topic at Extech 2026, which will take place at the University of Liege, Gembloux, Belgium from July 6–9 2026.

Saer Samanipour from the University of Amsterdam, The Netherlands used machine-learning (ML)-predicted retention time indices to estimate true-match probabilities to boost identification confidence when retention time calibrants are unavailable.

Susanne Grödl, exhibition director of analytica, shares insights on what visitors to analytica 2026 can expect and which trends are drawing the most attention.

A session focusing on chemometrics for food quality control and authentication will take place on March 25, 2026, from 15:00 to 17:00 at ICM Saal 4b as part of analytica 2026.

Two true pioneers who have, without a doubt, evolved the science and reputation of separation science globally, Pat Sandra and Luigi Mondello, spoke to LCGC International about the dynamics behind this essential event in the chromatography calendar: the ISCC and GC×GC Symposium. The 44th International Symposium on Capillary Chromatography and 21st GC×GC symposium (Riva 2026), which will take place from 17–22 May 2026 at the Congress Centre, Riva Del Garda, Italy.

LCGC International’s interview series on the evolving role of artificial intelligence (AI)/machine learning (ML) in separation science continues with Boudewijn Hollebrands from Unilever Foods R&D, Wageningen, Netherlands, discussing deep learning models to predict food peptide retention times.

Oliver Jones and Navneet Singh from RMIT University, Melbourne, Australia discuss a recent study they conducted to investigate the relationship between tidal cycles and PFAS concentrations in estuarine systems, and offer practical advice on the sample preparation and LC–MS/MS techniques they used to achieve the best results.

In the first instalment of LCGC International's interview series exploring how artificial intelligence(AI)/machine learning (ML) is being used in separation science, we interviewed Emery Bosten from KU Leuven, Belgium, on the role of assisted active learning (AAL) for method development in liquid chromatography (LC).