Latest Content

Researchers at Beijing University of Chemical Technology have developed a rapid online Raman spectroscopy method that accelerates real-time detection and strain screening of the bio-aviation fuel precursor β-farnesene.

The study reveals that leaf spectroscopy far outperforms traditional leaf traits in predicting forest leaf dark respiration across diverse ecosystems, offering a more accurate and scalable approach for improving carbon cycle models.

Vibrational spectroscopy is undergoing a major transformation driven by advances in new AI and machine learning, portable instrumentation, nanofabrication, hyperspectral imaging, and robust chemometrics. These developments are enabling more sensitive measurements, field-deployable analysis, multimodal data fusion, and automated spectral interpretation suitable for real-world industrial and clinical use. As these technologies converge, the field is positioned for a renaissance that may redefine how spectroscopy is practiced by 2030.

We take a walk through history here, providing the historical background on a recent multidisciplinary study that investigated the Angels Musicians murals in Valencia Cathedral.

Paolo Oliveri of the University of Genoa (Italy) sat down with Spectroscopy to discuss the case for artificial intelligence’s (AI) increasing influence in chemistry, and maintained that the chemometrics field has long employed tools now labeled as AI and machine learning (ML).

Top articles published this week include an interview with Jorge Caceres of Complutense University, an inside look at pharmaceutical fermentation monitoring, and a news article on timely drug intelligence.

This review article highlights how a new review by Da-Wen Sun demonstrates that integrating spectroscopy with chemometric techniques can significantly improve cold chain food quality monitoring, authentication, and overall system efficiency.

Researchers at the University of Lausanne investigated the potential of rapid and portable spectroscopic techniques such as Raman and NIR for illicit drug profiling, with the aim of enhancing the timeliness and operational utility of the generated intelligence for ongoing investigations as opposed to utilizing gas chromatography-mass spectroscopy.

A recent study investigated how structural phase changes inside sensing materials dynamically influence performance during gas exposure.

A new review by researchers from the University of Waterloo, Sanofi, and McGill University highlights how vibrational and fluorescence spectroscopy are reshaping real-time monitoring of pharmaceutical bioprocesses. The authors detail recent advances in UV-Vis, NIR-MIR, Raman, and fluorescence sensing, supported by modern chemometrics and AI tools.

In this article, we focus on why LIBS is particularly ideal for forensic applications, especially for studying human or animal remains.

A recent study demonstrates that near-infrared (NIR) spectroscopy is a fast, cost-effective, and reliable tool for assessing soil and tree ecological traits, offering major potential for large-scale forest conservation and monitoring.

In this brief article, we discuss a rare celestial event that happened in late November involving the planet Saturn.