Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
"Raman plus X" dual-modal spectroscopy technology for food analysis: A review.
Compr Rev Food Sci Food Saf
January 2025
School of Food and Biological Engineering, Jiangsu University, Zhenjiang, China.
Raman spectroscopy, a nondestructive optical technique that provides detailed chemical information, has attracted growing interest in the food industry. Complementary spectroscopic methods, such as near-infrared (NIR) spectroscopy, nuclear magnetic resonance (NMR), terahertz (THz) spectroscopy, laser-induced breakdown spectroscopy (LIBS), and fluorescence spectroscopy (Flu), enhance Raman spectroscopy's capabilities in various applications. The integration of Raman with these techniques, termed "Raman plus X," has shown significant potential in agri-food analysis.
View Article and Find Full Text PDFNeural Networks for Conversion of Simulated NMR Spectra from Low-Field to High-Field for Quantitative Metabolomics.
Metabolites
December 2024
Department of Biomedical Engineering, The University of Memphis, Memphis, TN 38152, USA.
The introduction of benchtop NMR instruments has made NMR spectroscopy a more accessible, affordable option for research and industry, but the lower spectral resolution and SNR of a signal acquired on low magnetic field spectrometers may complicate the quantitative analysis of spectra. In this work, we compare the performance of multiple neural network architectures in the task of converting simulated 100 MHz NMR spectra to 400 MHz with the goal of improving the quality of the low-field spectra for analyte quantification. Multi-layered perceptron networks are also used to directly quantify metabolites in simulated 100 and 400 MHz spectra for comparison.
View Article and Find Full Text PDFOrbital Current Pumping From Ultrafast Light-driven Antiferromagnetic Insulator.
Adv Mater
December 2024
Key Laboratory of Advanced Materials (MOE), School of Materials Science and Engineering, Tsinghua University, Beijing, 100084, China.
The orbital Hall effect originating from light materials with weak spin-orbit coupling, has attracted considerable interest in spintronic applications. Recent studies demonstrate that orbital currents can be generated from charge currents through the orbital Hall effect in ferromagnetic materials. However, the generation of orbital currents in antiferromagnets has so far been elusive.
View Article and Find Full Text PDFElectron paramagnetic resonance (EPR) spectroscopy has long been established across various scientific disciplines for characterizing organic radicals, organometallic complexes, protein structures and dynamics, polymerization processes, and radical degradation phenomena. Despite its extensive utility in these areas, EPR spectroscopy's application within pharmaceutical science has historically been constrained, primarily due to factors such as high equipment costs, a steep learning curve, complex spectral deconvolution and analysis, and a traditional lack of emphasis on single-electron chemistry in pharmaceutical research. This review aims to provide a thorough examination of EPR spectroscopy's applications in analyzing a wide array of para-magnetic species relevant to pharmaceutical research.
View Article and Find Full Text PDFEarly Diagnosis of Huntington Disease: Insights from Magnetic Resonance Spectroscopy-A Systematic Review.
J Clin Med
October 2024
Medical School, Universidad de las Américas (UDLA), Quito 170124, Ecuador.
: Huntington's disease (HD) is a fully penetrant neurodegenerative disease with a profound effect on quality of life. In recent years, there has been rapid growth in the description of its pathogenesis and diagnosis. Magnetic resonance spectroscopy (MRS) measurements can aid in the discrimination between premanifest Huntington's disease (Pre-HD) and healthy control (HC) subjects to establish early supportive and symptomatic management.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!