Microfluidic Devices in Nanotechnology 2010
DOI: 10.1002/9780470622636.ch6
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Particle Transport in Magnetophoretic Microsystems

Abstract: We present methods and models for predicting the transport and trapping of magnetic particles in microfluidic systems with magnetic functionality. We discuss particle transport models that take into account the dominant magnetic and fluidic forces, as well as Brownian motion for sufficiently small particles. We use the transport models to study the performance of magnetically-biased and electrically actuated microsystems.

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Cited by 7 publications
(2 citation statements)
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“…The evolution of magnetic particles in an applied field can be affected by several factors, including magnetic field, viscous drag, gravity, Brownian dynamics, particle/fluid interactions, and particle-particle interactions (dipole-dipole interactions) [22][23][24]. Two different approaches (Eulerian approach and Lagrangian approach) are used to model magnetic-particle transport in fluid, based on whether the Brownian motion has a significant impact on particle dynamics.…”
Section: Introductionmentioning
confidence: 99%
“…The evolution of magnetic particles in an applied field can be affected by several factors, including magnetic field, viscous drag, gravity, Brownian dynamics, particle/fluid interactions, and particle-particle interactions (dipole-dipole interactions) [22][23][24]. Two different approaches (Eulerian approach and Lagrangian approach) are used to model magnetic-particle transport in fluid, based on whether the Brownian motion has a significant impact on particle dynamics.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, the accurate manipulation of microscopic particles in small sample volumes is awkward and time consuming in such systems, and the ability to precisely monitor the separation process is limited. However, advances in microsystem technology have led to the development of novel integrated magnetic bioseparation microsystems that are energy efficient and ideal for the analysis and monitoring of small samples [ 22 , 29 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 ].…”
Section: Bioapplicationsmentioning
confidence: 99%