DocumentCode :
2836724
Title :
Models of nanoparticle transport in dielectrophoretic microdevices: Prediction, parameter estimation and other applications
Author :
Bakewell, David J G ; Chichenkov, Aleksandr ; Yunus, Nurul Amziah Md
Author_Institution :
Dept. of Electr. Eng. & Electron., Univ. of Liverpool, Liverpool, UK
fYear :
2010
fDate :
Nov. 30 2010-Dec. 2 2010
Firstpage :
188
Lastpage :
193
Abstract :
This paper describes the applications of Fourier Bessel series models for characterising the transport of nanoparticles driven by dielectrophoretic forces and randomized by Brownian motion. Nanoparticle transport using dielectrophoresis continues to be an active area of research and models are fundamental for characterising the process. The models have very useful capabilities including prediction of nanoparticle transport, estimation of parameter values from experimental data, and data decomposition into space and time components. The models also give a frequency domain representation that will be applicable for time modulated dielectrophoretic nanoparticle transport.
Keywords :
Bessel functions; Brownian motion; Fourier series; bioMEMS; electrophoresis; lab-on-a-chip; microfluidics; nanobiotechnology; nanoparticles; transport processes; Brownian motion; Fourier-Bessel series models; data decomposition; dielectrophoretic driving forces; dielectrophoretic microdevices; frequency domain representation; nanoparticle transport models; nanoparticle transport prediction; parameter estimation; time modulated dielectrophoretic nanoparticle transport; Biological system modeling; Estimation; Force; Frequency selective surfaces; Predictive models; Switches; Dielectrophoresis; Fokker Planck equation; Fourier-Bessel series; nanoparticle transport;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Sciences (IECBES), 2010 IEEE EMBS Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-7599-5
Type :
conf
DOI :
10.1109/IECBES.2010.5742226
Filename :
5742226
Link To Document :
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