Field-induced motion of ferrofluids through immiscible viscous media: Testbed for restorative treatment of retinal detachment

Mefford, O. Thompson; Woodward, Robert C.; Goff, Jonathan; Vadala, T. P.; Pierre, Timothy G. St.; Dailey, James P.; Riffle, Judy S.

doi:10.1016/j.jmmm.2006.10.1174

Cited by 62 publications

(61 citation statements)

References 18 publications

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“…Based on previous research, [13][14][15] this phenomenoni ndicates that the magnetic force had not exceeded the surfacet ension of droplet. Here, the droplet can be regarded as ar igid magnetic spherical object,and thus, the force calculation can be greatly simplified.…”

Section: à2979xmentioning

confidence: 64%

“…The trajectory was monitored with ac harge-coupled device (CCD) and then the kinetic parameters were computationally analyzed. According to Riffle et al, [13][14][15] an equation relating the magnetic force andt he kinetic parameters can be determined from Newton's second law when certain conditions are met. As magnetic force correlates with the collective magnetic property of the nanoparticles, the total magnetic momentoft he nanoparticles can be calculated from this equation.…”

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confidence: 99%

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Quantitative Evaluation of the Total Magnetic Moments of Colloidal Magnetic Nanoparticles: A Kinetics‐based Method

et al. 2015

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A kinetics-based method is proposed to quantitatively characterize the collective magnetization of colloidal magnetic nanoparticles. The method is based on the relationship between the magnetic force on a colloidal droplet and the movement of the droplet under a gradient magnetic field. Through computational analysis of the kinetic parameters, such as displacement, velocity, and acceleration, the magnetization of colloidal magnetic nanoparticles can be calculated. In our experiments, the values measured by using our method exhibited a better linear correlation with magnetothermal heating, than those obtained by using a vibrating sample magnetometer and magnetic balance. This finding indicates that this method may be more suitable to evaluate the collective magnetism of colloidal magnetic nanoparticles under low magnetic fields than the commonly used methods. Accurate evaluation of the magnetic properties of colloidal nanoparticles is of great importance for the standardization of magnetic nanomaterials and for their practical application in biomedicine.

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Section: à2979xmentioning

confidence: 64%

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confidence: 99%

Quantitative Evaluation of the Total Magnetic Moments of Colloidal Magnetic Nanoparticles: A Kinetics‐based Method

et al. 2015

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“…This is a typical range although there are diseases that increase the viscosity to much higher values. Therefore, we let ρ = 10 3 Kg m −3 , R = 10 −7 m, and η = 4 × 10 −3 Pa s. Figure 3 of [44] shows experimentally measured magnetic field magnitudes |H| as functions of distance from a typical magnet; from this, we use a distance 0.005 m and |H| = 18,000 Am −1 .…”

Section: Motion Of a Cluster In The Absence Of Background Flowmentioning

confidence: 99%

“…The other measured data set is the magnetic induction gradient and therefore we simulate the gradient, and plot both curves on the same figure. Here, the lines are predictions of our Eq. (27) with m = 0.3121 A m 2 and d = 8.823 × 10 −3 m (magnet in [44], ) and m = 1,066 A m 2 and d = 3.372 × 10 −2 m (magnet in [13], ). These correspond to B = 0.091 T and B = 5.561 T, respectively, at the magnet surface.…”

Section: Simplified Dipole Model For Experimentally Obtained Field Datamentioning

confidence: 99%

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On the motion of superparamagnetic particles in magnetic drug targeting

et al. 2011

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A stochastic ODE model is developed for the motion of a superparamagnetic cluster suspended in a Hagen-Poiseuille flow and guided by an external magnet to travel to a target. The specific application is magnetic drug targeting, with clusters in the range of 10-200 nm radii. As a first approximation, we use a magnetic dipole model for the external magnet and focus on a venule of 10 −4 m radius close to the surface of the skin as the pathway for the clusters. The time of arrival at the target is calculated numerically. Variations in release position, background flow, magnetic field strength, number of clusters, and stochastic effects are assessed. The capture rate is found to depend weakly on variations in the velocity profile, and strongly on the cluster size, the magnetic moment, and the distance between the magnet and the blood vessel wall. A useful condition is derived for the optimal capture rate. The case of simultaneous release of many clusters is investigated. Their accumulation in a neighborhood of the target at the venule wall follows a normal distribution with the standard deviation roughly half of the distance between the magnet and the target. Ideally, this deviation should equal the tumor radius, and the magnet should be beneath the center of the tumor. The optimal injection site for a cluster is found to be just prior to arrival at the target. Two separate mechanisms for capturing a cluster are the magnetic force and, for radii smaller than 20 nm, Brownian motion. For the latter case, the capture rate is enhanced by Brownian motion when the cluster is released near the wall.

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3D‐Printed Silicone Soft Architectures with Programmed Magneto‐Capillary Reconfiguration

Roh

Okello

Golbasi

et al. 2019

Adv Materials Technologies

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Soft intelligent structures that are programmed to reshape and reconfigure under magnetic field can find applications such as in soft robotics and biomedical devices. Here, a new class of smart elastomeric architectures that undergo complex reconfiguration and shape change in applied magnetic fields, while floating on the surface of water, is reported. These magnetoactive soft actuators are fabricated by 3D printing with homocomposite silicone capillary ink. The ultrasoft actuators easily deform by the magnetic force exerted on carbonyl iron particles embedded in the silicone, as well as lateral capillary forces. The tensile and compressive moduli of the actuators are easily determined by their topological design through 3D printing. As a result, their responses can be engineered by the interplay of the intensity of the magnetic field gradient and the programmable moduli. 3D printing allows us to fabricate soft architectures with different actuation modes, such as isotropic/anisotropic contraction and multiple shape changes, as well as functional reconfiguration. Meshes that reconfigure in magnetic fields and respond to external stimuli by reshaping could serve as active tissue scaffolds for cell cultures and soft robots mimicking creatures that live on the surface of water.

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Field-induced motion of ferrofluids through immiscible viscous media: Testbed for restorative treatment of retinal detachment

Cited by 62 publications

References 18 publications

Quantitative Evaluation of the Total Magnetic Moments of Colloidal Magnetic Nanoparticles: A Kinetics‐based Method

Quantitative Evaluation of the Total Magnetic Moments of Colloidal Magnetic Nanoparticles: A Kinetics‐based Method

On the motion of superparamagnetic particles in magnetic drug targeting

3D‐Printed Silicone Soft Architectures with Programmed Magneto‐Capillary Reconfiguration

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