Latest Conference

Damodaran Krishnan Achary of University of Pittsburgh highlights how modern NMR education is shifting toward real-world samples and interdisciplinary applications, reflecting the needs of industry and materials science researchers.

The University of Pittsburgh professor discusses how diffusion, relaxation, multinuclear, and ultra-high-resolution NMR experiments can be strategically applied to probe structure, dynamics, and interactions in complex chemical systems.

Damodaran Krishnan Achary discusses how advanced NMR techniques reveal the unique structure, cation–anion interactions, and dynamic behavior of ionic liquids, providing insights that other analytical methods cannot capture.

Damodaran Krishnan Achary discusses how modern NMR spectroscopy enables interdisciplinary research, from biomolecular studies to solid-state materials, and emphasizes the importance of staying current with advanced techniques and experimental strategies.

Spectroscopy profiles the three Heritage Lecture Speakers set to deliver talks at the Winter Conference on Plasma Spectrochemistry in 2026.

At the Eastern Analytical Symposium, Adam Hopkins of Metrohm highlighted how modern spectroscopy must balance precision with usability, showing that instruments optimized for real-world workflows often succeed more through practicality than perfection.

Karl Booksh, a Professor of Chemistry at the University of Delaware, has won the 2025 EAS Award for Outstanding Achievements in Chemometrics.

Geraldine L. Richmond, Presidential Chair in Science at the University of Oregon, has been awarded the 2025 NYSAS Gold Medal for her pioneering research on molecular interactions at liquid interfaces.

At the Eastern Analytical Symposium, Zachary Rhoden of Penn State shared practical strategies for training the next generation of analytical chemists through hands-on labs, small-scale experiments, model-building, and peer mentorship.

In this interview segment with Rohith Reddy, he discusses how mid-infrared spectroscopic imaging (MIRSI) can be used to help detect numerous disease types.

In this edition of “Inside the Laboratory,” we profile the Schultz Laboratory at The Ohio State University in Columbus, Ohio, speaking with Zac Schultz, Spencer Witte, Nishadi Nadeeshani, and Renee Romano about their work.

In this final interview segment with Lingyan Shi, she discusses the challenges of developing multimodal metabolic nanoscopy systems, and where these systems could be applied in the future.

In the second part of a three-part interview, Lingyan Shi recaps the award technical session that she chaired at the SciX Conference, highlighting the speakers she invited and what they discussed.

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 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.

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.

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.

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.

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.

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.