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Gert Desmet offers his insights on the potential benefits AI/ML could offer the separation science community in the future.

Quantitative non-targeted screening with predicted response factors is not for regulation, but can rank environmental chemicals by concentration and toxicity.

AI ML Now: Gert Desmet on the State of Artificial Intelligence and Machine Learning in Separation Science
Gert Desmet explores the current role of AI/ML in separation science.

Multidimensional chromatography cuts ion suppression in complex environmental samples by separating salts and coeluting compounds from target analytes.

Kinjal Bhatt and Ina Varfaj redefine career success around energizing work and personal balance, moving past publications and promotions.

GC–MS Reveals Hidden Chemicals in Bioplastic Food Packaging
Ana Rodríguez-Bernaldo de Quirós explains how non-targeted GC–MS reveals complex chemical mixtures in bioplastic food packaging, raising safety questions.

Kinjal Bhatt says belonging comes from team culture, not headcount, while Ina Varfaj's goal as her lab's only woman is making sure she isn't the last.

Kinjal Bhatt and Ina Varfaj call AI a chromatography equalizer only if training and access keep pace, framing the risk as implementation, not technology.

Tony Edge explains how SPE optimization improves oligonucleotide LC–MS data.

Kinjal Bhatt would expose early-career scientists to the field sooner, while Ina Varfaj says a broken chromatography column taught her failure is normal.

Perfusion chromatography offers improved separation of oligonucleotide biotherapeutics at ultra-high velocities.

Steven Ray Wilson's AFFL LC–MS system runs thousands of injections per column, but he calls validation and standardization the field's real barrier.

Kinjal Bhatt and Ina Varfaj describe imposter syndrome fading through repeated exposure and conference talk rather than a single breakthrough moment.

Waters' Erin Chambers says combining column chemistry and particle-physics innovation cut a GLP-1 impurity profiling workflow from three hours to under one.

Analytical science's real unwritten rule is that you don't need to feel ready, and good results simply take patience.

Justin Miller-Schulze and Smith Purdum explain how machine learning and chemometrics can improve fire debris classification in forensic science applications.

Kinjal Bhatt argues inclusion advocacy shouldn't fall on women alone, while Ina Varfaj credits sharing the load and learning to say no for avoiding burnout.

Steven Ray Wilson defines organ-on-a-chip as organoids on microfluidic devices, tracing their small, complex samples to the case for automated online LC–MS.

Lorna Nisbet from the Leverhulme Research Centre for Forensic Science, discusses a GC–MS. technique developed to detect anabolic-androgenic steroids in e-cigarettes seized from Scottish prisons.

Kinjal Bhatt and Ina Varfaj trace their pull toward analytical science to a saturated chromatography peak and the moment their first chiral peaks separated.

Gérard Hopfgartner explains why pairing SFC with dopant-assisted APPI can match, or even beat, electrospray sensitivity, even at microflow LC rates.

Emma Macturk from LECO Corporation explains which forensic applications benefit from GC×GC’s greater peak capacity, and when the additional separation power may only provide limited benefits.

Gérard Hopfgartner explains how atmospheric pressure photoionization can generate radical cations in LC–MS, unlocking EI-style spectra and NIST's spectral library.

Isabelle Kohler traces her unplanned path from pharmacy to bioanalysis, and why the same career struggles cut across gender lines in her PhD coaching.

"One-Shot" Solutions for Preparative Chiral Sub/Supercritical Fluid Chromatography Using Chiroptical Detection
A new “one-shot” strategy for preparative chiral supercritical fluid chromatography (SFC) offers fast and effective approach to obtain and characterize individual enantiomers.















