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The authors explore computer-aided workflows and machine learning, aimed at optimizing LC parameters, focusing on kinetic and thermodynamic aspects, and proposes closed-loop optimization strategies.

Approaches to Accelerate Liquid Chromatography Method Development in the Laboratory Using Chemometrics and Machine Learning

Adhesives often contain toxic materials like residual monomers; here, we demonstrate quantitative analysis of residual monomers in adhesives using GC–MS.

Simultaneous Determination of 17 Residual Monomers in Adhesives by Gas Chromatography–Mass Spectrometry

is the Sr. Global Market Development Manager of Protein, mAbs, and ADC at SCIEX.

The comprehensive characterization of multispecific antibodies is essential to the development of safe and efficacious cancer treatments.

Overcoming Complex Analytical Challenges Posed by Targeted Multispecific Antibody Cancer Therapeutics

Department of Chemistry, San Jose State University.

The authors developed a new analytical HPLC method using a silica hydride-based column to analyze mushrooms.

Validation of an Aqueous Normal Phase Chromatography Method for the Analysis of Ergothioneine in Commercial Mushrooms

This method has greater sensitivity and a shorter LC analysis time than the AOAC method. It also requires less instrument maintenance, enhances column lifetime by requiring a smaller sample volume, and reduces cost by replacing acetonitrile with methanol in the mobile phase.

Rapid and Sensitive Determination of Residues of Triphenylmethane Dyes and Their Metabolites in Animal Tissues by LC–MS/MS

is a senior principal application scientist with PerkinElmer, in Shelton, Connecticut, USA.

A novel LC–MS/MS method, with a dual ESI and APCI source using simple solvent extraction for sample preparation, was validated for analysis of 102 pesticides and 5 mycotoxins regulated by Colorado state in dried hemp.

Novel Liquid Chromatography–Tandem Mass Spectrometry Method for Analysis of 102 Pesticides and Five Mycotoxins Regulated by the State of Colorado in Dried Hemp

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Two-dimensional gas chromatography (GC×GC) and chemometrics are leading the way in new strategies on multivariate data analysis. Using GC×GC in untargeted analysis reveals how far the technique has advanced the field of separation science.

Revisiting the Fundamentals of Untargeted Data Analysis with Comprehensive Two-Dimensional Gas Chromatography (GC×GC): With Great Peak Capacity, There Must Also Come Great Responsibility

A column with chemically modified column hardware showed improvements in analytical performance for siRNA compared to a conventional stainless-steel column.

Analysis of siRNA with Denaturing and Non-Denaturing Ion-Pair Reversed-Phase Liquid Chromatography Methods

Christina Jayne Vanhinsbergh is a researcher at the University of Sheffield, UK. Her Ph.D. research focused on the development of multidimensional chromatographic methods for the analysis of therapeutic oligonucleotides. Currently, she is researching DNA alkylation from environmental compounds using LC–MS methodologies. Christina is the membership officer for the Chromatographic Society, UK.

This article reviews a range of techniques available for separative analysis of mRNA therapeutics, their associated impurities, and delivery vehicles.

The Role of Separation Techniques in the Analysis of mRNA Therapeutic Drug Substances and Drug Products

A harmonization of all conventional hold-up volume methods was successfully applied to RPLC, HILIC, AEX, and RP-AEX mixed-mode chromatography, regardless of the mobile phase.

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