Amikacin, a molecule formed by two glucosamine rings linked by α-linkages through a central deoxystreptamine, is an antibiotic often used in clinical treatments, with a special attention in the pediatric cases, due to the physiological activity of their renal system. In spite of its extensive use, no detailed information about the vibrational features of the molecule is available in the literature. Thus, in this study we performed a comprehensive vibrational investigation of amikacin from both an experimental and theoretical point of view. Raman and IR spectroscopy combined with DFT calculations conducted to a complete vibrational characterization of the molecule, with the assignment of the vibrational modes. Moreover, SERS spectrum was recorded and analyzed and provided information about the adsorption behavior of the amikacin on the silver nanoparticles surface.
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http://dx.doi.org/10.1016/j.saa.2019.02.012 | DOI Listing |
J Pharm Anal
November 2024
Department of Pharmaceutical Analysis, ISF College of Pharmacy Moga, 142001, Punjab, India.
An optical biosensor is a specialized analytical device that utilizes the principles of optics and light in bimolecular processes. Localized surface plasmon resonance (LSPR) is a phenomenon in the realm of nanophotonics that occurs when metallic nanoparticles (NPs) or nanostructures interact with incident light. Conversely, surface-enhanced Raman spectroscopy (SERS) is an influential analytical technique based on Raman scattering, wherein it amplifies the Raman signals of molecules when they are situated near specific and specially designed nanostructures.
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January 2025
V. Ye. Lashkaryov Institute of Semiconductor Physics, National Academy of Sciences of Ukraine 41 Nauky Avenue 03028 Kyiv Ukraine
Detecting small concentrations of nitro-compounds surface-enhanced Raman spectroscopy (SERS) is reported. In particular, explosive analogues, such as 4-nitrophenol, 1-nitronaphthalene, and 5-nitroisoquinoline, and an explosive material (picric acid) are investigated and prepared by measurements using two different methods. One method involved mixing the analyte with plasmonic silver nanoparticles (Ag NPs) in a solution, followed by subsequent drop-casting of the mixture onto a silicon substrate.
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January 2025
School of Physical Science and Technology, Xinjiang University 666 Shengli Road Urumqi 830046 China
This study has successfully prepared three kinds of surface enhanced raman scattering (SERS) substrates, namely AgNP/CuNPs/Bragg-PSi (porous silicon, PSi), AgNPs/CuNPs/PSi and AuNPs/CuNPs/Bragg-PSi by use of an anode electrochemical etching method and a dip plating method. Results show that: the AgNPs/CuNPs/Bragg-PSi substrate has optimal SERS performance and is capable of detecting the Raman spectrum ( = 0.9315) of a 10 M-10 M crystal violet (CV) solution.
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December 2024
Faculty of Chemistry, University of Warsaw, Warsaw 02-093, Poland.
Gold nanobowls (AuNBs) synthesized by the template-free method were deposited on graphene oxide (GO) to obtain an ultrasensitive surface enhanced Raman spectroscopy (SERS) platform for folic acid (FA) detection. GO was conditioned in aqueous solutions at various pH values to optimize the adsorption of the FA molecule and the intensity of the SERS signal. It was found that the conditioning procedure influences the orientation of FA on the SERS supports and the quality of the spectra in result.
View Article and Find Full Text PDFFood Chem X
January 2025
Faculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming 650500, China.
Herein, the miniaturized thermal purge-and-trap (MTPT) device combined with self-calibration colorimetric/surface-enhanced Raman spectroscopy (SERS) dual-model optical sensors were designed for effective analysis of sulfur dioxide (SO) in wine. The SO can be rapidly separated from wine and enriched by MTPT device, ensuring colorimetric/SERS dual-model optical sensing based on Karl Fischer reaction. The high separation efficiency of miniaturized MTPT device combined with self-calibration of dual-model optical sensors significantly alleviate matrix interference and improve the detection accuracy.
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