Near Infrared (NIR) Spectroscopy

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A breathtaking digital illustration of a comet streaking across a starry sky © tashechka - stock.adobe.com

Researchers using the James Webb Space Telescope (JWST) have observed a water vapor coma around main-belt comet 238P/Read. The study, led by Michael S. P. Kelley and Henry H. Hsieh, provides insights into the comet's activity driven by water-ice sublimation and distinguishes it from other comets due to the absence of significant carbon dioxide gas.

Artist’s depiction of fNIRS data and AI study of brain health © chaisiri - stock.adobe.com

Researchers from Vanderbilt University and Stanford University School of Medicine have developed a low-cost, wearable functional near-infrared spectroscopy (fNIRS) headband. This device, described as the first open-source, wireless fNIRS headband system, enables neuroimaging in naturalistic settings, making brain monitoring more accessible and versatile.

Scientist investigating the chemistry of the environment © Michael - stock.adobe.com

Spectroscopic analytical techniques are crucial for the analysis of environmental samples. This review emphasizes the latest advancements in several key spectroscopic methods, including atomic, vibrational, molecular, electronic, and X-ray techniques. The applications of these analytical methods in detecting contaminants and other environmental applications are thoroughly discussed.

A brain-monitoring headset analyzing brain scans © Ritthichai - stock.adobe.com

Advances in wearable, high-density functional near-infrared spectroscopy (fNIRS) and diffuse optical tomography (DOT) technologies are paving the way for real-world neuroscience applications, enabling high-resolution imaging of the human cortex in various environments. This new technology promises significant improvements in understanding brain function during naturalistic activities.

Saturn and Jupiter. Elements of this image furnished by NASA © revers_jr - stock.adobe.com

A century of mid-infrared observations has significantly advanced our understanding of the atmospheres of the giant planets in our solar system. A researcher from the University of Leicester in the United Kingdom and Universidad Adolfo Ibáñez in Chile has reviewed the developments in this field and the potential of the James Webb Space Telescope (JWST) to further enhance our knowledge of these planets.

Researchers from Tsinghua University and Beihang University in Beijing have developed a deep-learning-based data processing framework that significantly improves the accuracy of dual-comb absorption spectroscopy (DCAS) in gas quantification analysis. By using a U-net model for etalon removal and a modified U-net combined with traditional methods for baseline extraction, their framework achieves high-fidelity absorbance spectra, even in challenging conditions with complex baselines and etalon effects.