We present measurements of absorption spectra of hot-water vapor generated in a propane-air flame in the far-infrared region of the spectrum from 0.1 to 3.5 THz (3.3 to 117cm(-1)). Transitions within the rotational manifold of both the ground and the nu(2)=1 vibrational levels were observed. The measurements are in good agreement with calculations of the predicted absorption spectra at 1300 K based on tabulated line intensities, whereas predicted theoretical line widths were found to be approximately one third too narrow.
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http://dx.doi.org/10.1364/ol.23.000531 | DOI Listing |
Adv Sci (Weinh)
January 2025
Emerging Materials R&D Division, Korea Institute of Ceramic Engineering & Technology, Jinju, Gyeongnam, 52851, Republic of Korea.
Innovative anode materials are essential for achieving high-energy-density lithium-ion batteries (LIBs) with longer lifetimes. Thus far, only a few studies have explored the use of layered perovskite structures as LIB anode materials. In this study, the study demonstrates the performance and charge/discharge mechanism of the previously undefined Ruddlesden-Popper Li₂La₂Ti₃O₁₀ (RPLLTO) as an anode material for LIBs.
View Article and Find Full Text PDFJ Phys Chem B
January 2025
Laboratory of Soft Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China.
Intermolecular hydrogen bonds between carboxyl (COO) and amino groups are a common weak interaction in proteins. Infrared (IR) spectral assignment of such an intermolecular hydrogen bond provides a fingerprint for studying protein-protein interactions as its absorption frequency is affected by the molecular electrostatic environment. Temperature-dependent FTIR and temperature-jump time-resolved IR absorbance difference spectra of several typical amino acids and those of wild type and single-site mutated αB-crystallin were performed.
View Article and Find Full Text PDFJ Am Chem Soc
January 2025
MOE Key Laboratory of Bioinorganic and Synthetic Chemistry, GBRCE for Functional Molecular Engineering, School of Chemistry, IGCME, Sun Yat-Sen University, Guangzhou 510275, China.
Exploring the interactions between oxygen molecules and metal sites has been a significant topic. Most previous studies concentrated on enzyme-mimicking metal sites interacting with O to form M-OO species, leaving the development of new types of O-activating metal sites and novel adsorption mechanisms largely overlooked. In this study, we reported an Fe(II)-doped metal-organic framework (MOF) [FeZnH(bibtz)] (, Hbibtz = 1,1'-5,5'-bibenzo[][1,2,3]triazole), featuring an unprecedented tetrahedral Fe(II)HN site.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Physics, K.S.M Devaswom Board College, Sasthamcotta, Kollam, India.
Transition metal based optical limiting materials have garnered significant attention due their crucial role in protecting sensitive optical system from high intense laser damage. Transition metal molybdates exhibits nonlinear optical (NLO) response, which attenuate highly intense light by transmitting light of desired intensity. Herein we report Silver molybdate (AgMoO) nanostructures doped with erbium (Er) ions were successfully synthesized by simple co-precipitation technique.
View Article and Find Full Text PDFAnalyst
January 2025
Department of Chemistry, University of Victoria, Victoria, British Columbia, V8W 3V6, Canada.
Infrared absorption spectroscopy and surface-enhanced Raman spectroscopy were integrated into three data fusion strategies-hybrid (concatenated spectra), mid-level (extracted features from both datasets) and high-level (fusion of predictions from both models)-to enhance the predictive accuracy for xylazine detection in illicit opioid samples. Three chemometric approaches-random forest, support vector machine, and -nearest neighbor algorithms-were employed and optimized using a 5-fold cross-validation grid search for all fusion strategies. Validation results identified the random forest classifier as the optimal model for all fusion strategies, achieving high sensitivity (88% for hybrid, 92% for mid-level, and 96% for high-level) and specificity (88% for hybrid, mid-level, and high-level).
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