A study conducted by the Georgia Bureau of Investigation Division of Forensic Sciences, (Decatur, Georgia) validated a salt-assisted liquid–liquid extraction (SALLE) with liquid chromatography-tandem mass spectrometry (LC–MS/MS) method for detecting amphetamine-type stimulants (ATS) and cocaine metabolites in forensic toxicology. LCGC International spoke to Jon Stephenson of the Georgia Bureau of Investigation Division of Forensic Sciences about the study and the resulting paper inspired by it.
A recent joint study between Linköping University and the Department of Forensic Genetics and Forensic Toxicology of the National Board of Forensic Medicine (both in Linköping, Sweden) demonstrated a 32-element metal oxide semiconductor (MOS)-based e-nose, integrated with advanced supervised machine learning (ML) algorithms, for forensic applications including distinguishing human vs. animal samples, postmortem vs. antemortem states, and estimating postmortem intervals. LCGC International spoke to Donatella Puglisi, associate professor at Linköping University, and corresponding author of the paper that resulted from this work.
A recent study investigated early post-mortem volatile organic compounds (VOCs) from human donors in an outdoor environment. Using comprehensive two-dimensional gas chromatography time-of-flight mass spectrometry (GC×GC-TOF-MS)—a first for early post-mortem human VOC profiling outdoors—the research aims to track VOC changes, pinpoint the ante-mortem to post-mortem odor transition, and improve scent detection dog training strategies. LCGC International spoke to Darshil Patel, of the University of Windsor and lead author of the article published about his team’s findings.
J. Tyler Davidson of the Department of Forensic Science at Sam Houston State University (Huntsville, Texas) used liquid chromatography-electrospray ionization-tandem mass spectrometry (LC–ESI–MS/MS) to structurally characterize 38 nitazene analogs and propose fragmentation mechanisms that generate diagnostic product ions for analog differentiation. LCGC International spoke to Davidson about his work, and the paper that resulted from it.
Dave Abroamowitz of Thermo Fisher Scientific concludes his five-part video series with thoughts on how laboratories can address potential biases or errors introduced by artificial intelligence (AI) models, especially when these analyses inform high-stakes decisions such as clinical research or regulatory submissions.
LCGC International sat down with Chip Cody to discuss his work at JEOL USA, as well as how to determine when ambient ionization techniques should be used for analysis.
In this interview segment, Gerda Morlock explains how 12D hyphenation works in practice and how it improves the rapid identification of hazardous compounds compared to traditional workflows.
At Analytica USA, LCGC International sat down with Ralf Zimmermann to talk about his research.
In this clip, Ahmed Hamid addresses the advantages of using LC-IM-MS/MS over traditional microbial lipid profiling techniques and how ion mobility overcomes several key challenges in this space.
LCGC International sat down with Grinias at Analytica USA to talk about capillary-scale LC and green analytical chemistry.
Researchers studying tear-lipid fingerprints associated with aqueous-deficient dry eye (ADDE) and Meibomian-gland dysfunction (MGD) in women profiled the tear lipids with ultra high-performance liquid chromatography-mass spectrometry (UHPLC-MS).
LCGC International spoke to John Cashman of Sartorius about the application and TFF and how it is being improved to be more environmentally sustainable.
In this interview with Martin Gilar at Analytica USA 2025, he discusses topics related to liquid chromatography (LC) analysis of nucleic acids.
Artificial intelligence (AI) will of course revolutionize method development, peak detection, and data interpretation as it becomes more widely applied and accepted. We asked Dave Abramowitz of Thermo Fisher Scientific if there might be other areas of chromatography that may be equally transformed in the next decade.
Research regarding the connection between sodium intake and cadiometabolic risk used ultrahigh performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) for metabolite identification.
The September issue of LCGC International delivers new perspectives in oligonucleotide analysis, robust data statistics, and advanced workflows for complex biologics.
High-quality, well-labeled data is essential. What steps are being taken—or should be taken—to create standardized, shared chromatographic datasets for AI training? Dave Abramowitz of Thermo Fisher Scientific shares his insights.
Australian researchers set out to determine the chemical composition of anabolic–androgenic steroid (AAS) sold there, specifically to determine the presence and purity of active ingredients and evaluate the presence of cutting agents, residues, or heavy metals. Gas chromatography-mass spectrometry (GC-MS) and liquid chromatography-mass spectrometry (LC-MS) were among the techniques used in their study.
What role will human expertise have when artificial intelligence (AI) becomes more deeply embedded in chromatography workflows? Dave Abramowitz of Thermo Fisher Scientific shares his thoughts.
Researchers aiming to investigate the value of serum vitamin D3 levels in patients with a history of malignancy and confirmed lung metastases measured serum Vitamin D2 (25-hydroxyergokalciferol) and D3 (25 hydroxycholekalciferol) levels were measured using high-performance liquid chromatography (HPLC).
Dave Abramowitz of Thermo Fisher Scientific on how he sees artificial intelligence (AI)-driven chromatography tools scaling from research labs to regulated pharmaceutical environments, where compliance and validation are critical, in this first part of our video interview series.
LCGC International spoke to Dave Abramowitz, from the unified product management and product ownership team for chromatography and mass spectrometry software at Thermo Fisher Scientific, about the advantages, challenges, and future potential of AI in chromatography, highlighting how scientists can begin adopting AI-driven tools to improve accuracy, efficiency, and discovery.
Researchers from Iraq, Iran, and Italy analyzed 16 polycyclic aromatic hydrocarbons (PAHs) in grilled beef, kebab, and chicken using magnetic solid-phase extraction with gas chromatography-mass spectrometry (MSPE-GC-MS).
Click here to access the LCGC International September 2025 North America PDF in an interactive format.
Researchers at the University of the Basque Country, along with Català Restauradors S.L. analyzed the emergence of soluble salts on mural paintings in the vault of the Valencia Cathedral, using ion chromatography coupled with Raman and micro-energy-dispersive X-ray fluorescence spectroscopy.
Click here to access the LCGC International September 2025 Europe PDF in an interactive format.
Researchers quantified urinary cotinine levels in children with asthma, analyzed correlation with asthma severity, and examined the relationship between parental smoking and urinary cotinine levels. Cotinine analysis was conducted using high-performance liquid chromatography (HPLC).
Seton Hall University has received a $10 million estate gift establishing the Thomas Tencza, PhD Endowed Professorship in Chemistry, providing long-term support for advanced research, graduate training, and separation science initiatives in its highly regarded chemistry and biochemistry programs.
A recent study demonstrated how analytical techniques can be used to differentiate between different types of whiskey.
Researchers at Japan’s National Research Institute of Brewing used ultra-high-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UHPLC-QTOF-MS) to analyze the metabolome of sake and build predictive models of its sensory characteristics.
