Spectroscopy - Digital Edition - 01/01/2010

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.

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 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.