Researchers have developed an enhanced LC-MS/MS method capable of quantifying 18 steroids—including key corticosteroid and sex steroid hormones, as well as intermediates involved in corticosteroid synthesis—in plasma and tail samples collected during the transition of tadpoles into frogs.
David S. Hage, James Hewett University Professor at the University of Nebraska–Lincoln, discusses how advances in affinity-based separations are shaping the future of personalized medicine and transforming clinical diagnostics.
Laura Carbonell-Rozas, a post-doctoral researcher at the University of Granada (Granada, Spain), discusses the potential of natural deep eutectic solvents (NADES) in food analysis as sustainable solvents in sample preparation.
Research focused on the cooking process of marinades used headspace solid-phase microextraction gas chromatography-mass spectrometry to analyze changes and volatilization characteristics of flavor compounds at different cooking times.
Sean Jameson, SVP of Business Development at VUV Analytics, discusses the newly released ASTM D8519 method. This method extends established VUV-based hydrocarbon analysis into the pyrolysis oil range, enabling automated, scalable characterization of complex recycled and biomass-derived feedstocks up to C64.
A study conducted by a multinational research group investigated the potential of audible sound waves (in the form of music, specifically Pink Floyd’s "Another Brick in the Wall, Part 1") in enhancing nanoparticle neuronal uptake and brain penetration.
Benzalkonium chloride (BAK) is a common preservative composed of quaternary ammonium compounds with 8–18 carbon alkyl chains, mainly C12, C14, and C16 homologs. Because BAK can adsorb to surfaces, this study highlights the challenges of predicting adsorption behavior and the importance of conducting a vial compatibility assessment early in HPLC method development for dilute solutions of BAK and analytes with similar physicochemical properties.
Researchers at Oregon State University and Dow Neurobiology developed a standardized aroma lexicon for characterizing the aromatic attributes of Cannabis inflorescence with an associated sensory method that included the use of gas chromatography in data analysis.
LCGC International and the HTC-19 Scientific Committee celebrate innovation in separation science with the 2026 HTC Innovation Award. Previous winners include Bob Pirok, Szabolcs Fekete, Ryan Kelly and Caroline Huhn.
Researchers at the University of Buffalo used combined middle-up and bottom-up LC–MS/MS to characterize the HIV-1 broadly neutralizing antibody PGT 121. They identified multiple Fc and site-specific glycoforms and an unexpected N-terminal serine, revealing significant structural heterogeneity. This integrated approach enhances understanding of bNAb structure, supporting quality control and clinical development. LCGC International spoke to Troy Wood, corresponding author of the paper resulting from this research.
Discover how women in chromatography are breaking barriers, fostering community, and inspiring the next generation in STEM through mentorship and courage.
Explore the complexities of GLP-1 impurity detection using HPLC/UHPLC and innovative strategies to enhance analysis and regulatory compliance.
Researchers focused on the early stages of developing innovative plant-based active ingredients for skincare, using HPLC to determine which species should be shortlisted for phytochemical profiling.
Giulia Mazzoccanti spoke to LCGC International about the development and application of electrostatic repulsion-reversed phase (ERRP) chromatography for peptide separations.
Metabolomic profiling and the identification of metabolomic markers following HPAI H5N1 infection in chicken was performed in an Indian research study, with metabolite extracts analyzed using LC-MS/MS.
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.
Static and dynamic electrostatic repulsion-reversed phase (ERRP) has been compared for the separation of peptide impurities.
Researchers evaluated the antidiabetic potential of peanut oil, known for its high phytochemical content and medicinal properties, using GC-MS to collect and classify fatty acid compounds within the oil.
This episode of Behind the Peaks focuses on the importance of sound statistical practices in chromatographic analysis.
The advancements in HILIC–MS for oligonucleotide analysis are discussed, highlighting its potential as a viable alternative to traditional methods.
The second part of our interview with Annika van der Zon and Andrea Gargano regarding their research developing poly(acrylamide-co-N,N-methylene-bis(acrylamide) monolithic hydrophilic interaction chromatography columns optimized for protein separation.
Master LC troubleshooting techniques to optimize your analysis and resolve issues with confidence.
Researchers assessed ivermectin (IVM) residues in intensive swine farms—from animal treatment to slurry, soil, and wastewater—to evaluate potential environmental contamination. IVM concentrations were quantified using LC–MS/MS.
In a study conducted at the van 't Hoff Institute for Molecular Sciences at the University of Amsterdam (the Netherlands), researchers developed poly(acrylamide-co-N,N-methylene-bis(acrylamide) monolithic HILIC columns optimized for protein separation.LCGC International spoke to Annika van der Zon and Andrea Gargano, both from the van 't Hoff Institute and corresponding authors of the paper, to learn more about their research
LCGC International Column Editor Michael Dong concludes his three-part series on HPLC fundamentals for practicing scientists with a case study concerning pharmaceutical development using UHPLC.
Recent developments in lipidomics and metabolomics have highlighted persistent challenges in data processing, statistical analysis, and visualization—areas that often hinder reproducibility, transparency, and accessibility within the field. A newly published guideline addresses these issues by presenting a comprehensive, code-based framework for the statistical treatment and graphical representation of omics data using R and Python. LCGC International spoke to Michal Holcapek and Jakub Idkowiak about the rationale behind this research and the benefits it offers separation scientists.
This past week, LCGC International published a variety of articles on hot topics in separation science.
