During SciX 2024, which will be held from October 20–25, 2024 in Raleigh, North Carolina, various analytical scientists will be presented with awards for their career achievements. The American Electrophoresis Society (AES) will present Jason Dwyer of the University of Rhode Island with the Mid-Career Award, honoring his accomplishments thus far in his career.
Jason Dwyer is an associate professor of chemistry at the University of Rhode Island (URI) (1). His main research efforts often focus on nanopore technlogy in addition to spectroscopy. In preparation for SciX, we interviewed Dwyer about his latest research and his thoughts on receiving the Mid-Career Award.
To learn more about Dwyer, you can read our previous interview with him.
(1) Developing Nanopore Technology for Medical Diagnostics. University of Rhode Island 2024. https://web.uri.edu/research-admin/jason-dwyer/ (accessed 2024-9-24)
Tomas Hirschfeld: Prolific Research Chemist, Mentor, Inventor, and Futurist
March 19th 2025In this "Icons of Spectroscopy" column, executive editor Jerome Workman Jr. details how Tomas B. Hirschfeld has made many significant contributions to vibrational spectroscopy and has inspired and mentored many leading scientists of the past several decades.
Nanometer-Scale Studies Using Tip Enhanced Raman Spectroscopy
February 8th 2013Volker 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.
Raman Spectroscopy Aflatoxin Detection Enhances Peanut Safety
March 11th 2025A research team from Jiangsu University has developed a Raman spectroscopy-based method to detect aflatoxin B1 (AFB1) in peanuts with improved accuracy and efficiency. By employing a two-step hybrid strategy integrating backward interval partial least squares (BiPLS) and variable combination population analysis (VCPA), the new model significantly enhances the precision of AFB1 detection, providing a more reliable approach for food safety monitoring.