Spectroscopy and Space Exploration: A One-Day Content Series on July 20th
Spectroscopy magazine is pleased to announce the launch of a new one-day content series titled, “Spectroscopy and Space Exploration,” which will take place this Thursday, July 20th, 2023.
Spectroscopy has a long history of contributing toward space exploration studies and advancing our knowledge of astronomy, astrophysics, and planetary science. On July 20th, we will spotlight current research in the field of spectroscopy that has helped advance space exploration and focus on the spectroscopic techniques that have paved the way for future studies in space exploration.
Spectroscopy magazine is excited to be bringing this content series to you, and it is our hope that you find the content we share interesting and informative. Be sure to check out our main homepage on July 20th, so you can embark on your journey to see the impact that spectroscopists are having in the field of space exploration.
Watch the preview below for a sneak peek at what to expect for this one-day content series:
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).
