A recent study examined a new method to carbon dioxide capture to reduce energy consumption.

Research led by Changcai Cui have developed a whale optimization algorithm (WOA) to improve the accuracy, efficiency, and automation of spectroscopic ellipsometry data fitting, enabling precise measurements of film thickness and refractive index.

A recent study demonstrates the successful development of in-line monitoring techniques using Raman spectroscopy and advanced modeling for titanium dioxide-free tablet coatings.

Researchers from the Universidade de São Paulo have demonstrated the effectiveness of near-infrared spectroscopy combined with chemometric models for real-time, precise monitoring of Zika virus-like particle vaccine production.

The Solutions Innovation Research awards were presented to Professor Anders Bentien of Aarhus University, Professor Walter Gössler of the University of Graz, and Professor Gregory Offer of Imperial College London.

Vibrational spectra of six new hexafluorosilicate salts containing different amino acids (glycine (Gly), sarcosine (Sar), dimethylglycine (DMG), betaine (Bet), β-alanine (β-Ala) and l-proline (l-Pro)) are typically recorded and discussed on the basis of their structures. The presence of cations, dimeric cations with short hydrogen bonds, and hexafluorosilicate anions is reflected in the spectra.

In this article, it is explored whether THz-TDS combined with LS-SVM can be used to effectively identify the authenticity of Panax notoginseng, a traditional Chinese medicine.

A combination of surface-enhanced Raman spectroscopy (SERS) and machine learning on microfluidic chips has achieved an impressive 98.6% accuracy in classifying leukemia cell subtypes, offering a fast, highly sensitive tool for clinical diagnosis.

A new study published in Food Control introduces an approach for assessing antioxidant levels in edible oils using artificial intelligence and spectroscopy, offering significant potential for improving food quality control.

Researchers from the University of Oviedo used diffuse reflectance spectroscopy (DRS) and machine learning (ML) to analyze post-wildfire soil organic carbon fractions, identifying key spectral regions and algorithms for advancing remote sensing applications.

Researchers at the Chinese Academy of Sciences have developed an optical detection strategy for circulating tumor cells (CTCs), combining machine learning (ML) and dual-modal surface-enhanced Raman spectroscopy (SERS). This approach offers high sensitivity, specificity, and efficiency, potentially advancing early cancer diagnosis.

Cuong Cao from the Institute for Global Food Security at the School of Biological Sciences of Queen’s University in Belfast and his team of researchers conducted a preliminary exploratory study and detected the presence of MPs by automated Raman spectroscopy and subsequently NPs by using nanoparticle-on-film SERS (NPoF SERS) substrate released from chewing gum base plastic, a technique that has potential in screening a varied array of environmental pollutants, as well as a point-of-site tool when coupled with a handheld Raman instrument. Cao spoke to Spectroscopy about this work, and the resulting paper.

A recent study combines hyperspectral imaging (HSI) technology with chemometrics to deliver improved quality control of black garlic.

A recent study developed an accurate, non-destructive geo-traceability method using NIR spectroscopy and machine learning to authenticate the geographic origins of Gastrodia elata Bl.

Top articles published this week include two peer-reviewed articles that explore optical detection technology for seed vigor and classifying flowers, as well as a profile on Benjamin Manard, who was recognized as the winner of the 2025 Emerging Leader in Atomic Spectroscopy.