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Near-Infrared Spectroscopy in Bio-Applications [PDF]
Molecules, 2020 Near-infrared (NIR) spectroscopy occupies a specific spot across the field of bioscience and related disciplines. Its characteristics and application potential differs from infrared (IR) or Raman spectroscopy.
Krzysztof B. Beć +2 more
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Upconversion time-stretch infrared spectroscopy [PDF]
Light: Science & Applications, 2023 We develop upconversion time-stretch infrared spectroscopy, which enables high-speed and high-resolution broadband mid-infrared spectroscopy with over 1000 spectral elements at a rate of more than 10 MSpectra s−1.
Kazuki Hashimoto +6 more
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Infrared Spectroscopy—Mid-infrared, Near-infrared, and Far-infrared/Terahertz Spectroscopy
Analytical Sciences, 2021 This article aims to overview infrared (IR) spectroscopy. Simultaneously, it outlines mid-infrared (MIR), near-infrared (NIR), and far-infrared (FIR) or terahertz (THz) spectroscopy separately, and compares them in terms of principles, characteristics ...
Y. Ozaki
semanticscholar +4 more sources
Frontiers in Chemistry, 2019 Near-infrared (12,500–4,000 cm−1; 800–2,500 nm) spectroscopy is the hallmark for one of the most rapidly advancing analytical techniques over the last few decades.
Krzysztof B. Beć, Christian W. Huck
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Infrared Difference Spectroscopy of Proteins: From Bands to Bonds
Chemical Reviews, 2020 Infrared difference spectroscopy probes vibrational changes of proteins upon their perturbation. Compared with other spectroscopic methods, it stands out by its sensitivity to the protonation state, H-bonding, and the conformation of different groups in ...
Víctor A Lórenz-Fonfría
exaly +2 more sources
Crystals, 2019 The organic and mineral components in two coals and resulting high-temperature ashes with high silicon content were characterized by second-derivative infrared spectroscopy, Raman spectroscopy, and X-ray diffraction (XRD).
Yanshan Yin +7 more
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AFM-IR: Technology and Applications in Nanoscale Infrared Spectroscopy and Chemical Imaging
Chemical Reviews, 2017 Alexandre Dazzi
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A Review of Machine Learning for Near-Infrared Spectroscopy
Italian National Conference on Sensors, 2022 The analysis of infrared spectroscopy of substances is a non-invasive measurement technique that can be used in analytics. Although the main objective of this study is to provide a review of machine learning (ML) algorithms that have been reported for ...
Wenwen Zhang +4 more
semanticscholar +1 more source
iScience, 2022 Summary: Terahertz emission from ferromagnetic/non-magnetic spintronic heterostructures had been demonstrated as pump wavelength-independent. We report, however, the pump wavelength dependence of terahertz emission from an optimized Fe/Pt spintronic ...
Valynn Katrine Mag-usara +15 more
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Metasurface‐Enhanced Infrared Spectroscopy: An Abundance of Materials and Functionalities
Advances in Materials, 2022 Infrared spectroscopy provides unique information on the composition and dynamics of biochemical systems by resolving the characteristic absorption fingerprints of their constituent molecules.
Aurelian John-Herpin +7 more
semanticscholar +1 more source