A new study using infrared spectroscopy reveals that commercial beet sugar contains microplastic particles, raising concerns over food processing and packaging practices. Scientists identified various plastic types in sugar samples, including polyethylene and PET.
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.
A new study reveals that anthocyanin-rich fruit extracts degrade rapidly under sunlight but remain most stable in cold, dark storage.
Inter-instrument variability is a major obstacle in multivariate spectroscopic analysis, affecting the reliability and portability of calibration models. This tutorial addresses the theoretical and practical challenges of model transfer across instruments. It covers spectral variability sources—such as wavelength shifts, resolution differences, and line shape variations—and presents key standardization techniques including direct standardization (DS), piecewise direct standardization (PDS), and external parameter orthogonalization (EPO). We discuss the underlying mathematics of these approaches using matrix notation and highlight limitations that must be considered for reliable universal calibration.
Top articles published this week include an article about pioneering analytical chemist Charles Kenneth Mann, a tutorial about using Raman spectroscopy and machine learning for chemical monitoring, and an article about magma storage in Hawaii volcanoes.
Algerian researchers used X-ray diffraction (XRD) with Rietveld refinement and Fourier transform infrared (FT-IR) spectroscopy to show how long-term exposure to desert conditions causes microstructural and compositional degradation in solar panels, offering critical insights for improving monocrystalline photovoltaic (PV) durability in extreme climates.
Researchers in Brazil have demonstrated that near-infrared (NIR) spectroscopy, combined with chemometric modeling, can accurately and non-invasively analyze methane, carbon dioxide, and water content in high-pressure natural gas systems.
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
