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What were attendees talking about the most at Spring SciX?

Jennifer Ferguson, an Applications Manager at Renishaw, discusses why Raman spectroscopy is an ideal technique for characterizing lithium-ion battery anodes.

The Spring SciX Conference was held at the University of Exeter from April 14–16th, 2026. One talk discussed using Raman spectroscopy to characterize lithium-ion battery anodes.

This feature article traces C. V. Raman’s life, scientific evolution, and foundational contributions to quantum spectroscopy, emphasizing the intellectual path that led to one of the most important discoveries in optical science. Each year his discovery is celebrated as National Science Day (India) on February 28 to honor Sir C.V. Raman's discovery of the Raman Effect.

Autofluorescence can obscure or overwhelm the Raman signal in biological samples. Do workaround solutions exist to combat this problem?

How has Raman spectroscopy been applied to the development of materials that are important in technology?

Over the past two years, Spectroscopy magazine has extensively documented and analyzed the growing role of artificial intelligence in spectroscopy through articles, interviews, podcasts, and technical features, highlighting both its hype and its potential as a transformative advancement in data processing and analytical science.

This new feature in Spectroscopy introduces a structured, application-focused series that curates and examines the most influential research papers in molecular and atomic spectroscopy. Each installment presents a focused “Top 10” collection of seminal publications within a specific analytical domain, spanning techniques such as ultraviolet–visible, infrared, Raman, near-infrared, and atomic spectroscopy. Across biomedical, biopharmaceutical, environmental, and forensic applications, the selected papers illustrate how spectroscopic methods are applied to real-world analytical challenges. Emphasis is placed on the integration of spectral data with chemometric approaches to enable robust calibration, accurate prediction, and meaningful interpretation. Together, these curated collections provide practitioners with a concise, application-oriented perspective on impactful developments in spectroscopy. This article brings together the first nine “Top 10” collections in the series, offering a cross-disciplinary view of influential work shaping the field.

Metrohm USA has introduced two new laboratory Raman spectrometers—the i-Raman NxG and i-Raman Duo—targeting researchers and quality control teams who require more detailed chemical characterization than standard identification systems provide.

The following articles are the 10 most accessed digital object identifier (DOI) manuscripts for Spectroscopy and LCGC International during March, 2026.

What does the rise of portable and handheld spectroscopic instrumentation tell us?

A recent study used a multi-technique analytical approach to characterize the 2021 Tiglit meteorite, revealing unexpected mineral phases that point to a more complex history of shock events and post-fall alteration.

Over the past two years, molecular spectroscopy has undergone a marked transformation from a predominantly laboratory-based analytical approach into a field-deployable, data-rich forensic toolkit. This evolution has been driven by three converging trends: (i) advances in vibrational spectroscopic instrumentation (Fourier transform infrared [FT-IR], Raman, and near-infrared [NIR], (ii) the integration of chemometrics and machine learning for extracting actionable information from complex spectra, and (iii) the emergence of portable and miniaturized devices suitable for in situ analysis. The ten papers reviewed here collectively demonstrate how spectroscopy is now addressing some of the most persistent challenges in forensic science—such as time since deposition (TSD), post-mortem interval (PMI), trace evidence discrimination, and rapid drug identification—while maintaining evidentiary integrity through non-destructive analysis. Importantly, these works also reflect a shift toward interpretability, validation, and legal defensibility, which are essential for courtroom acceptance.

Metrohm's new i-Raman Platform is designed for both researchers and industry professionals alike. This Q&A overview provides the necessary information users would want to know.

In this Q&A overview, we explore how vibrational spectroscopy is set to help create a robust framework for identifying complex biomarkers that traditional blood tests might not be able to detect.

This partnership will digitize spectra from more than 120,000 mineral specimens, opening reference data to researchers across geology, forensics, materials science, and related fields.

In this Q&A article, we explore C. V. Raman’s journey, the mechanics of his discovery, and his lasting impact on the global spectroscopic community.

In this interview clip, Dmitry Kurouski, an Associate Professor of Biochemistry and Biophysics, and Biomedical Engineering at Texas A&M University, explains the resilience and limitations of near-infrared excitation Raman spectroscopy (NieRS).

This article is derived from an invited talk given at the Pittcon Conference and Expo in San Antonio, Texas on Monday, March 9, exploring how generative artificial intelligence may transform the daily practice of analytical chemistry. It was presented in The James L. Waters Symposium.

In this interview clip, Dmitry Kurouski, an Associate Professor of Biochemistry and Biophysics, and Biomedical Engineering at Texas A&M University, explains the benefit of using near-infrared excitation Raman spectroscopy (NieRS) over high-performance liquid chromatography (HPLC) for forensic dye analysis.

In this interview clip, Igor Lednev, a Distinguished Professor and Williams-Raycheff Endowed Professor at the University at Albany, State University of New York, talks about the progress made by SupreMEtric LLC, a startup that originated from research at the University at Albany.

In this interview clip, Igor Lednev, a Distinguished Professor and Williams-Raycheff Endowed Professor at the University at Albany, State University of New York, discusses the advancements that have resulted from Raman spectroscopy being integrated with chemometrics.

In this interview clip, Igor Lednev, a Distinguished Professor and Williams-Raycheff Endowed Professor at the University at Albany, State University of New York, recaps his talk about the integration of Raman spectroscopy and machine learning for forensic purposes in biomedical applications.

In this Q&A overview, we explore how these scientific advancements are reshaping our understanding of Ancient Egyptian history and culture.

The Pittcon (Pittsburgh) Conference and Expo in San Antonio featured a forward-looking symposium exploring how generative artificial intelligence (AI) may transform the daily practice of analytical chemistry. The James L. Waters Symposium, “Generative AI in the Analytical Chemist’s Toolbox for Chemical Measurements”, took place on Monday, March 9, 2026 (2:30–4:40 p.m.) in Room 221A. The session was presided over by Daniel W. Armstrong of The University of Texas at Arlington, who introduced the topic by emphasizing the rapidly expanding knowledge base required of modern analytical chemists. In addition to chemistry, today’s analytical scientist must command elements of physics, advanced mathematics, data science, and, increasingly, AI. The symposium focused on the practical integration of generative AI tools into chemical measurement science. Speakers discussed how AI can assist analytical chemists with tasks such as algorithm generation, signal processing, literature synthesis, and data interpretation. Importantly, the session emphasized responsible implementation, highlighting the need for rigorous validation, high-quality data sets, and integration into existing laboratory workflows.













