Will Wetzel

This explainer video describes the role that reflection and emission spectroscopy play in characterizing rocky exoplanets.

In this edition of “Inside the Laboratory,” George Shields, a professor of chemistry at Furman University and the founder and director of the Molecular Education and Research Consortium in Undergraduate Computational ChemistRY (MERCURY), discusses the goal of MERCURY and some of its most recent projects

In a recent press release, Horiba, an analytical and measurement technology company, announced the release of its Aqualog-Next A-TEEM Spectrometer.

This explainer video highlights how energy-dispersive inelastic X-ray scattering (EDIXS) can be used to discriminate between different stamps.

A recent study conducted by researchers from Northwestern Polytechnical University explored how to improve laser-induced breakdown spectroscopy (LIBS) for analyzing complex mineral samples

A new study demonstrates that infrared spectroscopy combined with chemometric modeling offers a fast, cost-effective way to classify plant-based milk alternatives and detect compositional variability, particularly in almond beverages.

The Winter Conference on Plasma Spectrochemistry will convene in Tucson, Arizona, from January 11–17, 2026.

In a recent review article, a team of researchers from Shanghai Jiao Tong University explored how to improve the monitoring of drugs and metabolites in biomedical research and clinical settings.

Top articles published this week include a video about the structural complexity of polyethylene, a news story about using near-infrared (NIR) and X-ray fluorescence (XRF) to classify coal types, and a look at microplastic analysis.

This explainer video highlights how spectroscopic sensors can help improve health monitoring applications.

This explainer video highlights how spectroscopy is being integrated with artificial intelligence to improve detection accuracy of microplastics.

A recent study demonstrated that UV–visible (UV-vis) spectroscopy combined with machine learning (ML) can provide a fast, cost-effective, and automated method for detecting biological contamination in microalgae cultures.

Raman spectroscopy, combined with computational modeling and machine learning, shows strong potential for distinguishing PFAS compounds, offering a promising new framework for environmental monitoring and contamination analysis.

Spectroscopy is increasingly being used in cultural heritage studies. We discuss spectroscopy's evolution in this field.

A new review article highlights how Explainable Artificial Intelligence (XAI) can enhance transparency, trust, and innovation in agricultural spectroscopy, paving the way for smarter and more sustainable food quality assessment.

A new study highlights terahertz (THz) metamaterials as a promising non-invasive, highly sensitive technology for improving food safety testing in agriculture.

A recent study found that coffee, red wine, and Coca-Cola significantly reduce the hardness and alter the chemical structure of dental resin composites.

Researchers at the National Research Council (CNR) in Rome have developed a compact spectroscopic sensor and machine learning system that can accurately recognize beverages in smart cups or glasses.

A recent study presented an AI-enhanced NIRS-XRF fusion spectroscopy method that significantly improves coal classification and quality prediction for coking enterprises.

A new review in Digital Discovery by Yongqiang Cheng of MIT and Oak Ridge National Laboratory highlights how AI-driven methods are changing how we study atomic vibrations.

Top articles published this week include a tutorial about calibration transfer techniques and inter-instrument variability, a couple news articles about quantifying microplastics, and a feature on the “pressure to publish.”

Chinese Academy of Sciences researchers combine spectroscopic methods with deep learning to classify microplastics at near-perfect accuracy.

Researchers from Zhejiang University highlight how combining machine learning with spectroscopic imaging can transform biomedical research by enabling more precise, interpretable, and efficient analysis of complex molecular data.

Jiangnan University researchers map the evolution, challenges, and future of spectroscopy in preserving humanity’s shared legacy.

A new study by researchers from Spain and Brazil demonstrates that combining near- and mid-infrared spectroscopy with advanced statistical analysis can identify how growing site, harvest season, and clonal variation influence yerba mate’s chemical composition.

Researchers at the National Institute of Technology Rourkela have developed a highly accurate machine learning-assisted FT-IR spectroscopy method to detect and quantify sawdust adulteration in coriander powder, offering a fast and scalable solution to enhance food safety and authenticity.

A recent study reveals that microplastics, primarily blue polyolefin fibers, are widespread throughout the western Arctic Ocean’s water column.

A research team from Putian University has developed a dual surface-enhanced Raman spectroscopy (SERS) and Fourier transform infrared spectroscopy (FT-IR) approach to reveal detailed molecular changes in E. coli exposed to different antibiotics.

Researchers at Santiago de Compostela University (Santiago, Spain) find ultraviolet–visible (UV–vis) spectroscopy can detect and quantify post-COVID condition with high accuracy, paving the way for real-time clinical use.