Direct Identification of Clinically Relevant Microorganisms on Solid Culture Media by Raman Spectroscopy

Scientists from Duke University in Durham, North Carolina recently tested a surface-enhanced Raman scattering (SERS) spectroscopy system for detecting the SARS-CoV-2 virus.

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

Scientists are using Raman spectroscopy and AI technology to streamline the pathological classification process.

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.

To improve the robustness and accuracy of logistic regression identification method, a new Raman spectroscopy identification method was proposed that combines a distributionally robust optimization technique and fused lasso technique with logistic regression. Then, Raman spectroscopy was used to analyze two types of dairy products that were collected for anti-jamming identification testing to verify the effectiveness of the new method.

Chinese scientists recently made a surface-enhanced Raman scattering (SERS)-based approach to detect synthetic antioxidants in food samples.