Tracking Lanthanide Dissolution Into Organic Media
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.
AI-Powered ‘IR-Bot’ Brings Real-Time Spectrochemical Analysis to Autonomous Labs
October 14th 2025Scientists 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.
Classifying Exotic Hardwood Species with Stacked Machine Learning Models and LIBS
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.
Powering the Future: How Elemental Analysis Drives Lithium-Ion Battery Safety and Performance
October 13th 2025Elemental 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.
Baseline and Scatter: Correcting the Spectral Chameleons
October 13th 2025This 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.
Optimizing Parameters for High-throughput Imaging Mass Spectroscopy
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.
Unlocking ICP-MS Accuracy and Productivity with Microwave Digestion
October 9th 2025This 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.