In the second and final part of our interview with Rob Lascola, he addresses the main challenges in achieving accurate acidity measurements using Raman spectroscopy in complex, highly absorptive systems, as well as explains what he has learned about dissolution mechanisms, and how these insights can influence future nuclear processing strategies.

A new perspective from researchers at the Karlsruhe Institute of Technology explores the evolving relationship between human expertise and artificial intelligence in polymer chemistry.

James Dudley Winefordner was a preeminent figure in analytical chemistry whose contributions to spectrochemical method development, instrumentation, and mentoring shaped generations of scientists.

Scientists have developed IR-Bot, an autonomous robotic platform that combines infrared spectroscopy, machine learning, and quantum chemistry to perform real-time analysis of chemical mixtures. The system promises to transform autonomous experimentation by delivering rapid, accurate feedback to guide chemical reactions without human oversight.

In this interview segment, Rafael Davalos discusses contactless dielectrophoresis, highlighting the utility of this technique not just in cancer research, but other application areas as well.

In this interview segment, Rob Lascola discusses how Raman spectroscopy complements other techniques in fuel dissolution and solvent extraction and what Raman can detect in off-gas streams.

In this video segment, Karl Booksh of the University of Delaware explains how his study highlighted a major improvement in classification accuracy using stacked models for differentiating exotic hardwood species.

Elemental analysis using ICP-OES and ICP-MS is essential across the lithium-ion battery lifecycle—ensuring safety, performance, traceability, and sustainable recycling from mining to manufacturing and end-of-life recovery.

This tutorial explains how baseline drift and multiplicative scatter distort spectroscopic data, reviews correction techniques such as MSC, SNV, EMSC, wavelet-based detrending, and AsLS baseline estimation with matrix-based derivations, and explores emerging data-driven scatter modeling strategies and future research directions.

In this interview, Yingchan Guo of the University of Florida discusses high-throughput IMS and identifying fatty acyl chains of lipids using mass spectrometry, particularly in matrix-assisted laser desorption ionization (MALDI) imaging.

In this interview segment, Prashant Jain, who is a G. L. Clark Professor of Physical Chemistry at the University of Illinois Urbana-Champaign (UIUC), discusses the implications of his study’s findings, highlighting how they advance our understanding of light-driven hydrocarbon formation pathways and plasmonic catalytic events.

Top articles published this week include several video interviews from our coverage of the SciX Conference and an inside look at the challenges of developing universal spectral libraries.

This article discusses pre-analytical best practices, recent innovations in MW design, and other productivity tools to consider throughout the workflow, explaining how these factors collectively enhance analytical accuracy and data integrity.