Publications by authors named "V S Belyaev"
Article Synopsis
- * Raman spectroscopy has been identified as an effective analytical method for chlorogenic acid, leveraging advancements like self-assembled gold nanoparticles to improve the sensitivity and reliability of detection.
- * A new substrate fabrication method using "aqua-print" processes achieved a high enhancement factor for detecting chlorogenic acid, demonstrating accurate results across a specific concentration range and validating findings with theoretical computations.
The study encompasses an investigation of optical, photothermal and biocompatibility properties of a composite consisting of golden cores surrounded by superparamagnetic CoFeO nanoparticles. Accompanied with the experiment, the computational modeling reveals that each adjusted magnetic nanoparticle redshifts the plasmon resonance frequency in gold and nonlinearly increases the extinction cross-section at ~800 nm. The concentration dependent photothermal study demonstrates a temperature increase of 8.
View Article and Find Full Text PDFThe production of the ψ(2S) charmonium state was measured with ALICE in Pb-Pb collisions at sqrt[s_{NN}]=5.02 TeV, in the dimuon decay channel. A significant signal was observed for the first time at LHC energies down to zero transverse momentum, at forward rapidity (2.
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- Understanding how parton mass and Casimir color factors affect heavy quark emissions is key to studying quantum chromodynamics (QCD).
- This research presents the first experimental constraint on the charm-quark splitting function, obtained through measurements in proton-proton collisions at 13 TeV.
- Findings indicate that charm quarks show a steeper splitting function compared to gluons and light quarks, experiencing fewer emissions with a lower likelihood of large-angle emissions.
Electrochemical Sensor to Detect Antibiotics in Milk Based on Machine Learning Algorithms.
ACS Appl Mater Interfaces
October 2023
The present study is dedicated to the problem of electrochemical analysis of multicomponent mixtures, such as milk. A combination of cyclic voltammetry facilities and machine learning techniques made it possible to create a pattern recognition system for the detection of antibiotic residues in skimmed milk. A multielectrode sensor including copper, nickel, and carbon fiber was fabricated for the collection of electrochemical data.
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