2013
DOI: 10.1039/c3lc41229f
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Disaggregation of microparticle clusters by induced magnetic dipole–dipole repulsion near a surface

Abstract: Ensembles of magnetic particles are known to align and aggregate into multi-particle clusters in an applied magnetic field, and the physical laws governing these processes are well described in literature. However, it has been elusive how to achieve the opposite process, i.e. the disaggregation of particle clusters in a magnetic field. We report a novel method to disaggregate clusters of superparamagnetic microparticles using time-dependent magnetic fields. The disaggregating field is designed to generate repu… Show more

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Cited by 52 publications
(36 citation statements)
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“…Mixing of fluid can be effectuated by applying a rotating field to a chain of MPs 2,[6][7][8][9][10][11][12][13][14][15] (Fig. 1A).…”
Section: Menno Prinsmentioning
confidence: 99%
See 1 more Smart Citation
“…Mixing of fluid can be effectuated by applying a rotating field to a chain of MPs 2,[6][7][8][9][10][11][12][13][14][15] (Fig. 1A).…”
Section: Menno Prinsmentioning
confidence: 99%
“…15 The system can create 3D rotating magnetic fields with and without field gradient, which can for example be used to create particle chains, pull these to a substrate (Fig. 4B), and subsequently redisperse the chains to achieve distributed single particles 14 (Fig. 4C).…”
Section: Mixingmentioning
confidence: 99%
“…The applied field strength was uniform in the plane of the particles, within a few percent over a 1 mm 2 surface area. 18 The magnet also creates a field gradient toward the surface, which keeps the particles at the bottom surface of the fluid chamber. Custom image processing software was used to determine the time-dependent intra-pair separations S(t) (see Figure 2).…”
mentioning
confidence: 99%
“…With the advent of novel experimental techniques to actuate and detect magnetic particles [3,4,[8][9][10][11][12] on the level of ensembles as well as on the level of individual particles and with the advent of corresponding miniaturized microfluidic devices [3,4,10,13,14], the need appears to understand and predict the behavior of magnetic particles in variable configurations. Yet it is difficult to model and predict the dynamics of particle ensembles because the behavior of the particle ensemble is not simply an extrapolation of the behavior of single particles due to the strong magnetic interactions between the particles [15], the hydrodynamic interactions between the particles [15,16], and the interactions between the particles and microdevice surfaces [4,8,17]. To avoid tedious experimentation and trialand-error studies, it is important to develop modeling tools for in silico studies of the behavior of particles in time-varying magnetic fields and complex device geometries.…”
Section: Introductionmentioning
confidence: 99%
“…The model integrates the known basic interactions that have already been studied separately, namely, Brownian motion [18], magnetic gradient forces [19,20], magnetic dipole-dipole interactions [4,21], and particle surface interactions [4,8,18]. To evaluate the proposed numerical model, we apply it to simulate a recently reported method by which clusters of magnetic particles can be disaggregated using magnetic fields [8]. The disaggregation method is based on magnetically attracting particles to a surface while inducing repulsive magnetic dipole-dipole interactions.…”
Section: Introductionmentioning
confidence: 99%