The Trump administration's proposed tariffs on multiple industries could profoundly impact analytical chemists working in industry, government, and academia.

Researchers at Delft University of Technology have developed a novel method using single compound spectra to enhance the transferability and accuracy of Raman spectroscopy models for real-time fermentation monitoring.

Researchers are using AI-enabled Raman spectroscopy to enhance the development, administration, and response prediction of cancer immunotherapies. This innovative, label-free method provides detailed insights into tumor-immune microenvironments, aiming to optimize personalized immunotherapy and other treatment strategies and improve patient outcomes.

Researchers from Gifu Pharmaceutical University and Gifu University Hospital unveil a novel polaprezinc (PLZ) mucoadhesive film designed to replace painful lozenges for cancer patients.

In this "Icons of Spectroscopy" column, executive editor Jerome Workman Jr. details how Karl H. Norris has impacted the analysis of food, agricultural products, and pharmaceuticals over six decades. His pioneering work in optical analysis methods including his development and refinement of near-infrared (NIR) spectroscopy has transformed analysis technology. This Part I article of a two-part series introduces Norris’ contributions to NIR.

A recent study introduces a new development in cancer research using Raman spectroscopy.

A recent study demonstrated the utility of Raman spectroscopy and machine learning (ML) algorithms to classify plastic types found in waste of electric and electronic equipment (WEEE) streams.

A leading-edge review led by researchers at Oak Ridge National Laboratory and MIT explores how artificial intelligence is revolutionizing the study of molecular vibrations and phonon dynamics. From infrared and Raman spectroscopy to neutron and X-ray scattering, AI is transforming how scientists interpret vibrational spectra and predict material behaviors.

Dr Adam J. Hopkins, Metrohm, highlights the capabilities of the OMNIS near-infrared technology platform for more efficient and advanced sampling of liquids and solids.

Top articles published this week include an interview about flow imaging microscopy, a news story on fiber optics and electric vehicles, and a recap of a study that explored the use of micro-particle-induced X-ray emission (micro-PIXE) spectroscopy to trace urban and indoor air pollution sources in India.

On April 9th, Marama Labs, a scientific instrument company with offices in Wellington, New Zealand, and Dublin, Ireland, announced in a press release the launch of its new CloudSpec instrument.

A recent study by Southeast University researchers presented a cost-effective, high-accuracy solution for pharmaceutical quality control.

A new study by researchers from Palo Alto Research Center (PARC, a Xerox Company) and LG Chem Power presents a novel method for real-time battery monitoring using embedded fiber-optic sensors. This approach enhances state-of-charge (SOC) and state-of-health (SOH) estimations, potentially improving the efficiency and lifespan of lithium-ion batteries in electric vehicles (xEVs).

A recent study from Chinese researchers sheds light on protein unfolding and hydration structure dynamics in hydrogels, with implications for drug delivery and biomedical applications.