Ultrafast Confocal Raman Imaging

Researchers at Guangdong University of Technology have developed a fast, non-destructive Raman spectroscopy method to accurately detect active ingredients in complex drug formulations.

An interview with Paul Pudney, a winner of the William F. Meggers Award.

Researchers have developed a powerful deep learning model that automates the identification of minerals using Raman spectroscopy, offering faster, more accurate results even in complex geological samples. By integrating attention mechanisms and explainable AI tools, the system boosts trust and performance in field-based mineral analysis.

Volker Deckert, the winner of the 2013 Charles Mann Award, is advancing the use of tip enhanced Raman spectroscopy (TERS) to push the lateral resolution of vibrational spectroscopy well below the Abbe limit, to achieve single-molecule sensitivity. Because the tip can be moved with sub-nanometer precision, structural information with unmatched spatial resolution can be achieved without the need of specific labels.

This sample prep method enables trace metals analysis in fertilizers, soil, and crops with improved accuracy and reproducibility.

Elemental analysis is crucial in a wide variety of applications from detecting toxic elements within the environment, to ensuring drinking water is safe for human consumption, to food product safety. ICP-MS—able to measure an atom’s mass—offers low detection limits in the range of parts per trillion (ppt), making it a widely used method that can detect toxic elements well below regulatory limits. This paper expands upon how new ICP-MS technology can meet the challenges associated with heightened demands for element analysis and the hurdles laboratories face when analyzing high-matrix samples.