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http://dx.doi.org/10.46670/JSST.2022.31.3.175

Particle-motion-tracking Algorithm for the Evaluation of the Multi-physical Properties of Single Nanoparticles  

Park, Yeeun (School of Electronic and Electrical Engineering, Kyungpook National University)
Kang, Geeyoon (School of Electronic and Electrical Engineering, Kyungpook National University)
Park, Minsu (School of Electronic and Electrical Engineering, Kyungpook National University)
Noh, Hyowoong (School of Electronic and Electrical Engineering, Kyungpook National University)
Park, Hongsik (School of Electronic and Electrical Engineering, Kyungpook National University)
Publication Information
Journal of Sensor Science and Technology / v.31, no.3, 2022 , pp. 175-179 More about this Journal
Abstract
The physical properties of biomaterials are important for their isolation and separation from body fluids. In particular, the precise evaluation of the multi-physical properties of single biomolecules is essential in that the correlation between physical and biological properties of specific biomolecule. However, the majority of scientific equipment, can only determine specific-physical properties of single nanoparticles, making the evaluation of the multi-physical properties difficult. The improvement of analytical techniques for the evaluation of multi-physical properties is therefore required in various research fields. In this study, we developed a motion-tracking algorithm to evaluate the multi-physical properties of single-nanoparticles by analyzing their behavior. We observed the Brownian motion and electric-field-induced drift of fluorescent nanoparticles injected in a microfluidic chip with two electrodes using confocal microscopy. The proposed algorithm is able to determine the size of the nanoparticles by i) removing the background noise from images, ii) tracking the motion of nanoparticles using the circular-Hough transform, iii) extracting the mean squared displacement (MSD) of the tracked nanoparticles, and iv) applying the MSD to the Stokes-Einstein equation. We compared the evaluated size of the nanoparticles with the size measured by SEM. We also determined the zeta-potential and surface-charge density of the nanoparticles using the extracted electrophoretic velocity and the Helmholtz-Smoluchowski equation. The proposed motion-tracking algorithm could be employed in various fields related to biomaterial analysis, such as exosome analysis.
Keywords
Multi-physical properties; Single-nanoparticle; Motion-tracking algorithm; Brownian motion; Mean-squared displacement;
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1 E. Van der pol, F. A. W. Coumans, A. E. Grootemaat, C. Gardiner, I. L. Sargent, P. Harrison, A. Sturk, T. G. Van Leeuwen, and R. Nieuwland, "Particle size distribution of exosomes and microvesicles determined by transmission electron microscopy, flowcytometry, nanoparticle tracking analysis, and resistive pulsesensing", J. Thromb. Haemost., Vol. 12, No. 7, pp. 1182-1192, 2014.   DOI
2 K. Y. Gu, R. Tahvildari, Z. Friedenberger, X. Zhu, R. Berti, M. Kurylowicz, D. Witzigmann, J. A. Kulkarni, J. Leung, J. Andersson, A. Dhlin, F. Hook, M. Sutton, P. R. Cullis, and S. Leslie, "Simultaneous, single-particle measurements of size and loading give insights into the structure of drug-delivery nanoparticles", ACS Nano, Vol. 15, No. 12, pp. 19244-19255, 2021.   DOI
3 B. D. Fahlman, Materials Chemistry, Springer, Mount Pleasant, 2007.
4 H. Shao, H. Im, C. M. Castro, X. Breakefield, R. Weissleder, and H. Lee, "New technologies for analysis of extracellular vesicles", Chem. Rev., Vol. 118, No. 4, pp. 1917-1950, 2018.   DOI
5 H. Noh, J. Lee, C.-J. Lee, J. D. Jung, J. W. Kang, M. Choi, M.-C. Baek, J. H. Shim, and H. Park, "Precise evaluation of liquid conductivity using a multi-channel microfluidic chip and direct-current resistance measurements", Sens. Actuators B-Chem., Vol. 297, p. 126810, 2019.   DOI
6 B. Lukic, S. Jeney, C. Tischer, A. J. Kulik, L. Forro, and E.-L. Florin, "Direct observation of nondiffusive motion of a Brownian particle", Phys. Rev. Lett., Vol. 95, No. 16, p. 160601, 2005.   DOI
7 T. L. Doane, C. H. Chuang, R. J. Hill, A. C. Burda, "Nanoparticle zeta-potentials", Acc. Chem. Res., Vol. 45, No. 3, pp. 317-326, 2011.   DOI
8 M. Smereka, and I. Duleba, "Circular object dectection using a modified hough transform", Int. J. Appl. Comput. Sci., Vol.18, No.1, pp. 85-91, 2008.   DOI
9 B. H. Wunsch, J. T. Smith, S. M. Gifford, C. Wang, M. Brink, R. L. Bruce, R. H. Austin, G. Stolovitzky, and Y. Astier, "Nanoscale lateral displacement arrays for the separation of exosomes and colloids down to 20 nm", Nat. Nanotechnol., Vol. 11, No. 11, pp. 936-940, 2016.   DOI
10 A. Sze, D. Erickson, L. Ren, and D. Li, "Zeta-potential measurement using the Smoluchowski equation and the slope of the current-time relationship in electroosmotic flow", J. Colloid Interface Sci., Vol. 261, No. 2, pp. 402-410, 2003.   DOI
11 V. Filipe, A. Hawe, and W. Jiskoot, "Critical evaluation of Nanoparticle Tracking Analysis (NTA) by NanoSight for the measurement of nanoparticles and protein aggregates", Pharm. Res., Vol. 27, No. 5, pp. 796-810, 2010.   DOI