Carolyn Mountford, of the University of Newcastle (Australia) has received an Agilent Thought Leader Award in recognition of her innovative work using nuclear magnetic resonance (NMR) spectroscopy technology in cancer research.
Carolyn Mountford, of the University of Newcastle (Australia) has received an Agilent Thought Leader Award in recognition of her innovative work using nuclear magnetic resonance (NMR) spectroscopy technology in cancer research. Mountford is a professor of radiology at the University of Newcastle Australia School of Health Sciences in Australia, and a director of the Center for Clinical Spectroscopy at the Brigham and Womenâs Hospital in Boston.
The award will support Mountford and her team at the University of Newcastle in their pioneering research on novel in vivo NMR techniques that may help identify breast cancer in high-risk women. Preliminary data suggest that NMR may detect early changes in breast tissue that reflect rapid tumor growth. Moreover, NMR may be used to analyze primary breast tumors to determine if the cancer cells have spread to the lymph nodes, preventing unnecessary surgery.
âNMR spectroscopy is a highly accurate and precise tool for analyzing human tissue,â Mountford said in a statement. âThis technology could help pathologists diagnose breast cancer more quickly and accurately, enable surgeons to make more informed decisions and, ultimately, improve the quality of cancer care for patients.â
The Agilent Thought Leader Award promotes fundamental scientific advances by contributing financial support, products, and expertise to the research of influential thought leaders in life sciences and chemical analysis.
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).