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A team of researchers from universities in China have developed a rapid, smartphone-integrated sensor system that uses uranium-based fluorescent probes to detect pesticides and antibiotics in food samples with exceptional speed and selectivity.

Researchers have developed a fast, chemical-free method using near-infrared spectroscopy to accurately analyze the quality of dark chocolate, offering a sustainable alternative to traditional testing techniques.

A recent study explored a new robust, multi-technique approach to detect ferric oxide red in spices.

Showcase spectroscopy products that are advancing the future of analytical chemistry.

A new study reveals that as Hawaiian volcanoes evolve, their magma storage shifts from shallow crustal reservoirs to deeper mantle zones, offering critical insights into volcanic behavior and future hazard potential.

Researchers at the Central University of Venezuela (Caracas, Venezuela) have developed a robust, definite, and economical methodology for rapid and accurate quantification of theobromine and caffeine in cocoa beans extracts from Venezuelan cocoa using surface-enhanced Raman spectroscopy (SERS)

Researchers at the Czech Academy of Sciences have demonstrated that cost-effective silver and gold nanoparticles, used with surface-enhanced Raman spectroscopy (SERS), can sensitively detect stress-induced adenine release in bacteria, paving the way for rapid, point-of-care diagnostic tools.

Using a custom-built 785 nm Raman instrument, a recent study identified 14 pesticides and employed multivariate and machine learning techniques—particularly Random Forests (RF)—to automate classification. Readers will learn practical steps in spectral acquisition, spectral comparison across wavelengths, data preprocessing, and implementing machine learning models for real-world chemical monitoring (1).

Researchers in China developed a novel "water quality fingerprint spectrum" to analyze complex water pollution data in Lake Shahu, revealing key pollution drivers like tourism and offering a scalable framework for improved environmental management.

This Icons of Spectroscopy Series article features Charles Kenneth Mann, a pioneer of quantitative Raman spectroscopy.

Top articles published this week include an interview with Shreya Singh, a tutorial about using Raman spectroscopy to probe water content and structures in biological tissues, and an article about detecting honey adulteration using near-infrared (NIR) spectroscopy.

Researchers at Jiangnan University have developed a highly accurate method combining Raman spectroscopy with deep learning to monitor acid value in palm oil.

A recent study developed and tested a highly stable, nanozyme-based colorimetric sensor capable of rapidly and accurately detecting vitamin C in commercial beverages, offering a practical tool for real-time nutritional assessment.

A new study led by Gaëlle Belleau-Magnat at Université de Sherbrooke reveals that Arctic gossans, analyzed using rover-compatible techniques, may serve as valuable analogs for Martian environments and help guide the search for past life on Mars.

In a 2025 study, Indian researchers demonstrated that combining near-infrared (NIR) spectroscopy with aquaphotomics enables rapid, non-destructive detection of adulterants in honey by analyzing changes in water’s spectral behavior. Using chemometric models, they accurately identified and quantified six common adulterants, offering a powerful tool for food authenticity and quality control.

Researchers from Université de Montréal have demonstrated that a new handheld Raman spectroscopy device, the UltraProbe, can accurately and rapidly detect retroperitoneal soft tissue sarcomas during surgery, offering real-time tissue analysis that could improve surgical outcomes.

Horiba, Ltd. announced that David Birch, PhD, who is an Emeritus Professor at the University of Strathclyde and the co-founder of Horiba Jobin Yvon IBH Ltd., has been elected as an Honorary Fellow of the Institute of Physics (IOP), the organization's top recognition

This is a brief tutorial review on the use of the Raman OH stretching bands of water for biomedical applications.

Researchers in Bangladesh have developed a rapid, non-destructive method to detect honey adulteration using UV-Vis-NIR spectroscopy paired with machine learning. Their findings could protect consumers and support food quality enforcement.

A new study used advanced techniques, including µ-Raman spectroscopy and machine learning, to map and predict microplastic pollution on São Paulo’s urban beaches.

A new review article highlights the growing use of random forest machine learning (ML) models in biomedical signal analysis, emphasizing their potential for detecting cell damage, assessing toxicity, and advancing diagnostic classification.

Spectroscopy spoke to Shreya Singh of Cornell University, author of a recent article dealing with using DRIFTS for the photocatalytic conversion of CO₂.

A recent study demonstrated that portable Raman spectroscopy, combined with advanced statistical modeling, offers a reliable, non-destructive method for monitoring nitrate levels in greenhouse-grown spinach.

A new study has confirmed the presence of multiple microplastic types in human amniotic fluid using a dual-method approach, raising concerns about potential long-term impacts on fetal development.

This tutorial introduces how NIR spectroscopy works for honey analysis, explores practical workflows, discusses real-world applications, and outlines best practices for implementing this technique in food labs.

A new bibliometric study published in Infrared Physics & Technology highlights the growing global impact of near-infrared (NIR) spectroscopy in biofuel research, revealing key trends, contributors, and future directions for advancing sustainable energy solutions.

Top articles published this week include a feature article about big pharma’s investments in U.S.-based manufacturing, an article about the 2025 Emerging Leader in Molecular Spectroscopy Lingyan Shi, and some news items detailing the winners of the Coblentz Society’s student awards.