In this work, 3D linear Raman spectroscopy was used to study lipid droplets (LDs) ex vivo in liver tissue and also in vitro in a single endothelial cell. Spectroscopic measurements combined with fluorescence microscopy and/or histochemical staining gave complex chemical information about LD composition and enabled detailed investigations of the changes occurring in various pathological states. Lipid analysis in fatty liver tissue was performed using a dietary mouse model of liver steatosis, induced by a high fat diet (HFD). HFD is characterized by a high percentage of calories from saturated fat (60%) and reflects closely the detrimental effects of dietary habits responsible for increased morbidity due to obesity and its complications in well-developed Western societies. Such diets lead to obesity, hyperlipidemia, insulin resistance, and steatosis that may also be linked to endothelial dysfunction. In the present work, Raman spectroscopy was applied to characterized chemical composition of lipid droplets in hepatocytes from mice fed HFD and in the endothelium treated with exogenous unsaturated free fatty acid (arachidonic acid). The results demonstrate the usefulness of Raman spectroscopy to characterize intracellular lipid distribution in 2D and 3D images and can be used to determine the degree of saturation. Raman spectroscopy shows the potential to be a valuable tool for studying the role of LDs in physiology and pathology. The method is generally applicable for the determination of LDs of different size, origin, and composition. Moreover, for the first time, the process of LD formation in the endothelium was detected and visualized in 3D.
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http://dx.doi.org/10.1021/ac501395g | DOI Listing |
J Comput Chem
January 2025
Scuola Superiore Meridionale, Napoli, Italy.
Light-driven molecular rotary motors are nanometric machines able to convert light into unidirectional motions. Several types of molecular motors have been developed to better respond to light stimuli, opening new avenues for developing smart materials ranging from nanomedicine to robotics. They have great importance in the scientific research across various disciplines, but a detailed comprehension of the underlying ultrafast photophysics immediately after photo-excitation, that is, Franck-Condon region characterization, is not fully achieved yet.
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December 2024
TDA Research Inc., Golden, CO 80403, USA.
Here we describe the synthesis and evaluation of a molecular corrosion sensor that can be applied in situ in aerospace coatings, then used to detect corrosion after the coating has been applied. A pH-sensitive molecule, 4-mercaptopyridin (4-MP), is attached to a gold nanoparticle to allow surface-enhanced Raman-scattering (SERS) for signal amplification. These SERS nanoparticles, when combined with an appropriate micron-sized carrier system, are incorporated directly into an MIL-SPEC coating and used to monitor the process onset and progression of corrosion using pH changes occurring at the metal-coating interface.
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December 2024
CNR-IPCF, Institute for Chemical-Physical Processes Messina, 98158 Messina, Italy.
Zinc oxide nanoparticles (ZnO NPs) with varying levels of nitrogen (N) doping were synthesized using a straightforward sol-gel approach. The morphology and microstructure of the N-doped ZnO NPs were examined through techniques such as SEM, XRD, photoluminescence, and Raman spectroscopy. The characterization revealed visible changes in the morphology and microstructure resulting from the incorporation of nitrogen into the ZnO lattice.
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December 2024
Department of Computer Science, National Yang Ming Chiao Tung University, ChiaoTung Campus, Hsinchu 300093, Taiwan.
With the fast-fashion trend, an increasing number of discarded clothing items are being eliminated at the stages of both pre-consumer and post-consumer each year. The linear economy produces large volumes of waste, which harm environmental sustainability. This study addresses the pressing need for efficient textile recycling in the circular economy (CE).
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January 2025
College of Food Science, Heilongjiang Bayi Agricultural University, Daqing 163319, China.
The feasibility of the two methodologies was confirmed to compare the results of determining mung bean origins using Raman and Near-Infrared (NIR) spectroscopy. Spectra from mung beans collected in Baicheng City, Jilin Province; Dorbod Mongol Autonomous, Tailai County, Heilongjiang Province; and Sishui County, Shandong Province, China, were analyzed. We established a traceability model using Principal Component Analysis combined with the K-nearest neighbor method to compare the efficacy of these methods in discriminating the origins of the mung beans.
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