Spectroscopy spoke to Benjamin Manard, Senior R&D Staff Scientist and the Group Leader of the Chemical & Isotopic Mass Spectrometry Group at Oak Ridge National Laboratory (ORNL) as well as to Sarah Szakas and Jordan Stanberry, postdoctoral researchers at ORNL, regarding their work using examined single-particle inductively coupled plasma time-of-flight mass spectrometry (SP-ICP-TOF-MS) as a novel technique for uranium particle isotope ratio measurements.

This curated collection of recent Spectroscopy magazine mini-tutorials highlights the latest analytical and data-driven innovations in vibrational spectroscopy. Covering NIR, Raman, O-PTIR, and related optical methods, the series emphasizes practical workflows, emerging machine learning integrations, and advanced chemometric techniques for real-world laboratory applications—from food and environmental monitoring to biomedical analysis and nanoscale imaging.

In this interview segment, Shi recaps her talk that she delivered at the SciX Conference and the four major technologies that she and her team developed over the past few years at the University of California, San Diego.

In a recent study, a team of researchers from Peking University and the National Key Laboratory of Advanced Micro and Nano Manufacture Technology have proposed a new method for identifying DNA nucleobases using a fusion of terahertz time-domain spectroscopy (THz-TDS) and advanced deep learning techniques.

Discover how an improved wavelet denoising technique enhances methane detection accuracy in TDLAS systems, optimizing signal quality and reducing noise.

Top articles published this week include several video interviews from our coverage of the SciX Conference and an inside look at classical correction methods.

In this episode, podcast co-hosts Dr. Dwight Stoll and Dr. James Grinias talk with Professor Luis Colon about the influence his father had on his pursuit of science and his interest in materials development for chromatography.

In this video segment, Fay Nicolson discusses her career trajectory, from her time in graduate school to her time as a postdoctoral candidate to her time as an independent researcher.

In this interview segment, Karl Booksh dives deeper into a new technique called conformal prediction, and how his group has been applying it in their research.

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

In this interview segment, Reddy discusses how O-PTIR combined with mid-infrared frequency comb technologies enhances both resolution and throughput in tissue analysis and how this integration address the limitations of conventional MIRSI approaches in clinical settings.

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.

In this segment, Bell addresses the key barriers that are preventing SERS from being more widely adopted in complex environments.

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.

Explore essential best practices for optimizing ICP-MS methodologies, enhancing accuracy, and tackling analytical challenges in diverse sample matrices.

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.

A recent review by Jhonatan Contreras and Thomas Bocklitz from Friedrich Schiller University Jena and the Leibniz Institute of Photonic Technology delves into the emerging field of explainable artificial intelligence (XAI) in spectroscopy.

At SciX, Zac Schultz of The Ohio State University sat down with Spectroscopy to discuss his work characterizing molecular interactions with localization microscopy techniques, as well as give his thoughts about how spectrally resolved surface-enhanced Raman spectroscopy (SERS) imaging will impact in vitro cell imaging and other application areas.