LCGC Interviews

Torgny Fornstedt, Jörgen Samuelsson, and Martin Enmark discuss a novel machine learning workflow for oligonucleotide analysis that is helping to enhance method development and impurity profiling efficiency.

Discover innovative LC–HRMS methods for analyzing RNA-based therapeutics, enhancing biopharma development and regulatory compliance in drug characterization.

The advancements in HILIC–MS for oligonucleotide analysis are discussed, highlighting its potential as a viable alternative to traditional methods.

The development of a high-throughput LC–MS/MS method for quantifying 135 pesticides with improved accuracy and robustness is discussed.

SFC Europe 2025—the 19th International Conference on Packed Column Supercritical Fluid Chromatography and Related Techniques—will be held in Basel, Switzerland, on October 5–7, 2025. LCGC International spoke to John Reilly, Maria Kristina Parr, and Larry Miller about the evolution of supercritical fluid chromatography (SFC) in terms of technology and applications.

In the third part of this roundtable discussion focused on the experiences, challenges, and contributions of Women in Chromatography, LCGC International spoke to Noor Abdulhussain, Lotte Schreuders, and Mimi den Uijl—co-founders of the Sisters in Science initiative—to ask what advice they would offer to young women aspiring to enter a STEM career.

In the second part of this roundtable discussion focused on the experiences, challenges, and contributions of Women in Chromatography, LCGC International spoke to Noor Abdulhussain, Lotte Schreuders, and Mimi den Uijl—co-founders of the Sisters in Science initiative—about how the group has evolved over the last four years.

In the first part of this roundtable discussion focused on the experiences, challenges, and contributions of Women in Chromatography, LCGC International spoke to Noor Abdulhussain, Lotte Schreuders, and Mimi den Uijl—co-founders of the Sisters in Science initiative—about their movement, which was started in 2021.

LCGC International spoke to the author of the study, John Mommers, who is a scientist of chromatography and mass spectrometry (MS) at Envalior, about the key challenges faced when developing MASSISTANT and how it can be integrated in GC-EI-MS workflows.

LCGC International spoke to Bo Zhang from Xiamen University in China about the advantages of stereolithographically printed 3D-printed columns that offer scope for negligible scaling-up costs, and the future opportunities and challenges for this novel technology

LCGC International spoke to Bo Zhang from Xiamen University in China about the evolution of 3D-printed column technology that could offer a new, engineered pathway for column manufacturing beyond conventional slurry packing or casting.

As part of “From Sample to Verdict,” LCGC International sat down with Noemi Procopio, who is the Principal Investigator of the "Forens-OMICS" team and a Senior Research Fellow in Forensic Science at the University of Central Lancashire to talk about her team’s work. In Part III of our conversation with Procopio, she discussed how her team analyzes bone samples for post-mortem interval (PMI) estimation. In the final part of our conversation, Procopio discusses what a routine omics-based PMI assay could look like in the future.

LCGC International spoke to Bo Zhang from Xiamen University in China about the evolution of 3D-printed column technology that could offer a new, engineered pathway for column manufacturing beyond conventional slurry packing or casting.

As part of our “From Sample to Verdict” series, LCGC International sat down with Furton to discuss his team’s work in the Global Forensic and Justice Center. In Part II of our conversation with Furton, he discusses the applicability of SPME in other forensic applications, as well as the limitations of using SPME.

As part of “From Sample to Verdict,” LCGC International sat down with Noemi Procopio, who is the Principal Investigator of the "Forens-OMICS" team and a Senior Research Fellow in Forensic Science at the University of Central Lancashire, to talk about her team’s work. In Part I of our conversation with Procopio, she discussed the development of the Forens-OMICS approach and how her team estimates PMI using metabolomics, proteomics, and metabarcoding. Part II dives deep into post-mortem interval (PMI) estimation and how bone proteomics can be used to accurately estimate PMI.

Petr Vozka highlights how GC×GC–TOF-MS reveals time-dependent chemical changes in fingerprints, enabling age estimation through chemometric modeling and advancing forensic timelines beyond traditional ridge pattern analysis.

LCGC International spoke with Ira Lurie, a professional lecturer at George Washington University in the USA, about his research using innovative chromatographic strategies to improve the specificity and efficiency of forensic drug analysis. He details the application of “flip-flop” chromatography using silica hydride stationary phases to alternate between reversed-phase and aqueous normal-phase separations without changing solvents. Lurie also highlights the use of derivative gas chromatography–vacuum ultraviolet spectroscopy (GC–VUV) to differentiate challenging synthetic cannabinoid isomers, emphasizing the critical legal and scientific importance of accurate isomer identification in forensic casework.

Ida Marie Marquart Løber explores postmortem interval estimation using UHPLC–QTOF-MS and machine learning, profiling rat tissue metabolites and outlining pathways for human adaptation toward objective, AI-driven forensic timelines.

As part of “From Sample to Verdict,” LCGC International sat down with Ed Sisco and Sarah Shuda, Research Chemists at NIST, to discuss the work that their groups are conducting that are helping to advance forensic analysis.

As part of “From Sample to Verdict,” LCGC International sat down with Furton to talk about his team’s work in the Global Forensic and Justice Center. In Part I of our conversation with Furton, he discusses his work in environmental forensics, including applying solid-phase microextraction (SPME-GC–MS) in distinguishing crude oil sources.