The EAS Award for Outstanding Achievements in Magnetic Resonance will be presented to Clare P. Grey at the Eastern Analytical Symposium (EAS) on November 14 in Princeton, New Jersey.
The EAS Award for Outstanding Achievements in Magnetic Resonance was presented to Clare P. Grey at the Eastern Analytical Symposium (EAS) on November 14 in Princeton, New Jersey. Grey is the Geoffrey Moorhouse-Gibson professor of chemistry at Cambridge University and a fellow of Pembroke College Cambridge.
After post-doctoral fellowships in the Netherlands and at DuPont CR&D in Wilmington, Delaware, Gray joined the faculty at Stony Brook University (SBU) as an assistant professor in 1994, and was promoted to associate professor in 1997, and then to professor in 2001, a position she held until2015. She moved to Cambridge in 2009, maintaining an adjunct position at Stony Brook. She was director and associate director of the Northeastern Chemical Energy Storage Center, a Department of Energy (DOE) Energy Frontier Research Center and is currently the director of the EPSRC Centre for Advanced Materials for Integrated Energy Systems.
Grey’s recent honors and awards include the Research Award from the International Battery Association (2013), the Royal Society Davy Award (2014), the Arfvedson-Schlenk-Preis from the German Chemical Society (2015), the Société Chimique de France, French-British Prize (2017), and the International Solid State Ionics Galvani-Nernst-Wagner Mid-Career Award (2017), of which she is the first recipient. She is a Fellow of the Royal Society and in 2017 was elected as a Foreign member of the American Academy of Arts and Science and Fellow of the Electrochemical Society. Her current research interests include the use of solid state nuclear magnetic resonance (NMR) and diffraction-based methods to determine structure–function relationships in materials for energy storage (batteries and supercapacitors), conversion (fuel cells), and carbon capture.
Spectroscopy and GPC to Evaluate Dissolved Organic Matter
February 4th 2025In a new study, a team of scientists used gel permeation chromatography, three-dimensional excitation-emission matrix fluorescence spectroscopy, and UV-visible spectroscopy to assess road runoff from drinking water treatment plants to evaluate the method' capacity for removing dissolved organic matter (DOM).
Blood-Glucose Testing: AI and FT-IR Claim Improved Accuracy to 98.8%
February 3rd 2025A research team is claiming significantly enhanced accuracy of non-invasive blood-glucose testing by upgrading Fourier transform infrared spectroscopy (FT-IR) with multiple-reflections, quantum cascade lasers, two-dimensional correlation spectroscopy, and machine learning. The study, published in Spectrochimica Acta Part A, reports achieving a record-breaking 98.8% accuracy, surpassing previous benchmarks for non-invasive glucose detection.
Distinguishing Horsetails Using NIR and Predictive Modeling
February 3rd 2025Spectroscopy sat down with Knut Baumann of the University of Technology Braunschweig to discuss his latest research examining the classification of two closely related horsetail species, Equisetum arvense (field horsetail) and Equisetum palustre (marsh horsetail), using near-infrared spectroscopy (NIR).