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.

Spectroscopy sat down with Renee Romano, a graduate student at The Ohio State University, to discuss the broader implications of her findings, including how they demonstrate the potential of Raman spectroscopy for in situ, real-time monitoring of plant–microbe interactions without destructive sampling.

In this exclusive interview, Nishadi Nadeeshani Moragoda Liyanage, a graduate student at The Ohio State University, outlines how the results of her study help advance our understanding of plasmon-induced electron transfer and its applications in nanoscale optoelectronic and catalytic systems.

As part of our coverage of the SciX Conference, Spectroscopy sat down with Witte, a graduate student at The Ohio State University, to talk about how machine learning (ML) algorithms can differentiate between spectral features associated with radiation dose and those reflecting temporal changes post-exposure, as well as the benefits of using Raman spectroscopy to detect and quantify radiation-induced molecular changes.