Publications by authors named "A M Serov"

This work demonstrates the first time synthesis of selenium nanoparticles (Se NPs) stabilized with neonol. The synthesis method was optimized using a multifactorial experiment with three input parameters. The most stable sample had a radius of 15 nm and a ζ-potential of -36.

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Selenium nanoparticles (Se NPs) have a number of unique properties that determine the use of the resulting nanomaterials in various fields. The focus of this paper is the stabilization of Se NPs with cetyltrimethylammonium chloride (CTAC). Se NPs were obtained by chemical reduction in an aqueous medium.

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Article Synopsis
  • Zinc oxide (ZnO) nanostructures are valuable in science and technology, and developing methods for controlling their growth is crucial for enhancing their optical and electronic properties.
  • This study employs hydrothermal synthesis with surfactants to create various shapes of ZnO nanostructures, which are analyzed using photoluminescence (PL) spectroscopy.
  • The results show that different growth conditions and surfactants significantly influence the emission characteristics of the nanostructures, indicating potential applications in nanophotonics and light sources.
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The directions of the transformation of benzene induced by low-voltage discharges at various energies of pulsed discharges were revealed. This paper shows the dependencies of the morphology and other characteristics of nanostructures obtained in the induced transformation of benzene on the energy of pulsed discharges. Nanostructures with different morphologies are formed when the energy of the low-voltage discharges changes during the induced transformation of benzene in the liquid phase.

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Motivation: Single-molecule localization microscopy allows studying the dynamics of biomolecules in cells and resolving the biophysical properties of the molecules and their environment underlying cellular function. With the continuously growing amount of data produced by individual experiments, the computational cost of quantifying these properties is increasingly becoming the bottleneck of single-molecule analysis. Mining these data requires an integrated and efficient analysis toolbox.

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