EventsThe 4th International Online Conference on Nanomaterials
Published
This submission belongs to the session A. Synthesis, Characterization, and Properties of Nanomaterials of the event The 4th International Online Conference on Nanomaterials
Published date
05 May, 2023
Academic Editor
author-avatarJosé Luis Arias Mediano
Citation
Polina Monakhova, Pavel Shalaev, Iaroslav Gorev, Rapid characterization of synthesized nanoparticles liquid dispersions using nanoparticle tracking analysis, in Proceedings of The 4th International Online Conference on Nanomaterials, 5 May–19 May 2023, MDPI: Basel, Switzerland, doi: 10.3390/IOCN2023-14528
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Rapid characterization of synthesized nanoparticles liquid dispersions using nanoparticle tracking analysis

Pavel Shalaev 2
Iaroslav Gorev 3
1. National Research University of Electronic Technology, Russia
2. Aivok LLC
3. National Research University of Electronic Technology
Abstract

Obtaining such characteristics of dispersions of synthesized nanoparticles as concentration and particle size is an important task in nanotechnology, biomedicine, industry and many other fields. A rapidly developing method for such needs is nanoparticle tracking analysis. This method is very convenient when working with polydisperse samples, since it provides a more accurate particle size and intensity distribution than dynamic light scattering. This technique enables visualization and recording of nanoparticles sized from dozens of nanometers to couple of micrometers moving under Brownian motion. The key point of getting precise information about a nanodispersion is video processing, which allows to analyze the sample quickly without damaging it. Samples of polystyrene and gold nanoparticles with different characteristics were dispersed in water and studied using nanoparticle tracking analysis device. As the reference methods of nanoparticles characterization dynamic light scattering and transmission electron microscopy were used. One of the main problems, that occurs on the stage of video processing is a high noise rate, which may lead to recognition errors. Adjusting such parameters as shutter and gain may be needed to increase signals from weakly scattering particles like polystyrene latex nanoparticles. This study also represents the main advantages and drawbacks of using nanoparticle tracking analysis method in the study of nanoparticle samples of various concentration levels.

Keywords
nanoparticle sizing
nanoparticle tracking analysis
dynamic light scattering
video processing
Brownian motion
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