Journal of Sensor Science and Technology (센서학회지)

The Korean Sensors Society (한국센서학회)
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Particle-motion-tracking Algorithm for the Evaluation of the Multi-physical Properties of Single Nanoparticles

단일 나노입자의 다중 물리량의 평가를 위한 입자 모션 트랙킹 알고리즘

  • 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)
  • 박예은 (경북대학교 대학원 전자전기공학부) ;
  • 강지윤 (경북대학교 대학원 전자전기공학부) ;
  • 박민수 (경북대학교 대학원 전자전기공학부) ;
  • 노효웅 (경북대학교 대학원 전자전기공학부) ;
  • 박홍식 (경북대학교 대학원 전자전기공학부)
  • Received : 2022.05.22
  • Accepted : 2022.05.31
  • Published : 2022.05.31
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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

Acknowledgement

이 논문은 과학기술정보통신부의 재원으로 한국연구재단 바이오·의료기술개발사업(2017M3A9G8083382)과 한국연구재단 기초연구실 지원 사업(2020R1A4A1019518)의 지원을 받아 수행된 연구임.

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