A recent study investigates microplastic contamination in beverages sold in South Africa, exploring whether it impacts alcoholic and non-alcoholic beverages more directly.

Researchers recently developed a nanoscale sensor for rapid detection of GenX in water, enhancing environmental monitoring and safety efforts.

Phil C. Williams (1933–2025) was an internationally recognized pioneer in near-infrared spectroscopy whose visionary work transformed grain analysis from chemical assays to rapid, environmentally responsible spectroscopic methods. His lifelong commitment to scientific rigor, mentorship, and practical innovation has left an enduring legacy that continues to shape industrial spectroscopy for grain analysis that impacts the global economy.

Top articles published this week include a reflection of the 2025 SciX Conference, an inside look at the recent research in chemometrics and artificial intelligence (AI), and a news article about corrosion in solar panels.

A recent study published in the Journal of Chemometrics explored how chemometric modeling can be used to examine ingredient interactions in processed foods.

In this article, we reflect on the SciX Conference, highlighting the Sunday Award Plenary and the networking opportunities.

A recent study presented a new AI model that can be used to improve patient outcomes for breast cancer.

This second part of the Recent Research in Chemometrics and AI for Spectroscopy article surveys current and emerging applications of artificial intelligence (AI) in spectroscopy, highlighting explainable AI (XAI), deep learning, and generative AI frameworks.

In a recent study, a team of researchers developed a three-dimensional (3D) spectroscopic map of a distant exoplanet’s atmosphere, revealing surprising details about its structure and chemistry.

This first article in a two-part series introduces the foundations and terminology of AI as applied to chemometrics, defines key algorithmic approaches, and explores their growing role in spectral data analysis, model quantitative calibration, classification, and interpretability.

A recent study explored using near-infrared (NIR) spectroscopy as a rapid, nondestructive method for accurately classifying THC levels in cannabis.

A recent review article explores how SEM-EDS is being used to evaluate solar panel corrosion.

Top articles published this week include a tutorial on spectroscopy in the energy industry, a look at how hyperspectral imaging (HSI) is advancing science and medicine, and an inside look at the Alvin submersible and how spectroscopy has aided its operations in exploring the deep sea.

A recent study highlighted a novel method for recycling aging wind turbine blades, transforming waste into valuable materials while minimizing environmental impact.

Using optical and near-infrared spectroscopy, researchers have identified crystalline water ice as the likely driver of explosive outbursts on comet 12P/Pons-Brooks. Their findings link this dramatic cometary activity to a process once observed in comets 17P/Holmes and 332P/Ikeya–Murakami.

Explore how spectroscopy enhances sustainability in energy, from solar panel durability to real-time gas monitoring and lithium-ion battery safety.

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

A recent study presented a novel deep learning model that could improve the prediction of fuel properties in the petroleum industry.

A new international review highlights how hyperspectral imaging (HSI) is revolutionizing diverse fields—from counterfeit detection and agriculture to cancer diagnostics—by capturing unprecedented spectral detail invisible to traditional cameras. The study identifies major advances, challenges, and the growing role of artificial intelligence in real-time HSI applications.

Spectroscopy is playing a sizable role in expanding the capabilities of remotely operated and manned submersibles. A recently published nonfiction book highlights the advancements made in deep-sea exploration technology, and we discuss spectroscopy's role in all of this.

Researchers have developed a new method combining unmanned aerial vehicle (UAV) hyperspectral imaging with satellite data to monitor chlorophyll-a (Chla) and total nitrogen (TN) concentrations in coastal wetland waters. Their approach enhances the precision and scalability of water quality assessments, providing a model for managing eutrophication in fragile ecosystems.

This article provides a clear refresher on key spectroscopy techniques—IR/NIR, Raman, UV–Vis, XPS/XAS, NMR, ICP-MS, and LIBS—and their applications in the energy industry, from batteries and solar panels to fuel production and emissions monitoring.

Researchers uncover the hidden dangers of ship paint-derived microplastics, revealing their complex composition and ecological risks in marine environments.

Recently, a team of researchers investigated a new approach for manipulating electron motion at the femtosecond timescale.

Leading experts from Covalent Metrology, PerkinElmer, IAS, and Linde identify the top efficiency and purity challenges facing semiconductor manufacturers and reveal how advances in spectroscopy and automation are reshaping fabrication, contamination control, and process precision across the industry.

Researchers at the European Space Research and Technology Centre (ESTEC) have developed a new framework for onboard hyperspectral image processing that uses deep learning to analyze massive volumes of spectral data in real time. Their review highlights lightweight neural networks, generative models, and hardware accelerators as key technologies shaping the next generation of spaceborne Earth observation.

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.

Top articles published this week include an interview with our Emerging Leader in Molecular Spectroscopy award winner Lingyan Shi, a mini-tutorial highlighting practical workflows and innovative applications, and an inside look at single-particle ICP-TOF-MS.