Diamagnetic repulsion—A versatile tool for label-free particle handling in microfluidic devices

Peyman, Sally A.; Kwan, Er Yee; Margarson, Oliver; Iles, Alexander; Pamme, Nicole

doi:10.1016/j.chroma.2009.06.039

Cited by 116 publications

(105 citation statements)

References 21 publications

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“…For example, Whitesides' group separated synthetic particles according to their densities' difference using paramagnetic salt solutions (Winkleman et al 2007;Mirica et al 2009). Pamme's group demonstrated continuous particle and cell manipulation using paramagnetic salt solution in microfluidic devices (Peyman et al 2009;Rodriguez-Villarreal et al 2011). Xuan's group studied the transport of particles in both paramagnetic solutions and ferrofluids through a rectangular microchannel embedded with permanent magnets (Liang et al 2011;Zhu et al 2012).…”

Section: Introductionmentioning

confidence: 99%

Continuous-flow ferrohydrodynamic sorting of particles and cells in microfluidic devices

Zhu

Cheng

Lee

et al. 2012

Microfluid Nanofluid

105

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A new sorting scheme based on ferrofluid hydrodynamics (ferrohydrodynamics) was used to separate mixtures of particles and live cells simultaneously. Two species of cells, including Escherichia coli and Saccharomyces cerevisiae, as well as fluorescent polystyrene microparticles were studied for their sorting throughput and efficiency. Ferrofluids are stable magnetic nanoparticles suspensions. Under external magnetic fields, magnetic buoyancy forces exerted on particles and cells lead to size-dependent deflections from their laminar flow paths and result in spatial separation. We report the design, modeling, fabrication and characterization of the sorting device. This scheme is simple, low-cost and label-free compared to other existing techniques.

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Section: Introductionmentioning

confidence: 99%

Continuous-flow ferrohydrodynamic sorting of particles and cells in microfluidic devices

Zhu

Cheng

Lee

et al. 2012

Microfluid Nanofluid

105

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“…The strength of the magnetic field flux is generally in the order of 0.1-0.2 Tesla, but the total magnetic flux can be as high as 1 Tesla. The distance between the magnet pairs can range from tens of m [111] to several mm [75]. Bio-particles can also be manipulated using the magnetic field induced by the permanent magnet on a ferromagnetic wire placed inside the microchannel [112,113].…”

Section: Hardwarementioning

confidence: 99%

“…Typically, the width of the microchannels is in the order of 100-700 m, the depth is in the order of 10-100 m, and the length of the channel is several centimeters. Although preferred geometry is a rectangular cross-sectioned microchannel, the capillary tubes can also be utilized [75,76]. If permanent magnets are used, generally the poles of each magnet is brought to the vicinity of the channel walls.…”

Section: Channel Geometrymentioning

confidence: 99%

Microfluidic bio-particle manipulation for biotechnology

Çetin

Özer

Solmaz

2014

Biochemical Engineering Journal

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a b s t r a c tMicrofluidics and lab-on-a-chip technology offers unique advantages for the next generation devices for diagnostic therapeutic applications. For chemical, biological and biomedical analysis in microfluidic systems, there are some fundamental operations such as separation, focusing, filtering, concentration, trapping, detection, sorting, counting, washing, lysis of bio-particles, and PCR-like reactions. The combination of these operations led to the complete analysis systems for specific applications. Manipulation of the bio-particles is the key ingredient for these applications. Therefore, microfluidic bio-particle manipulation has attracted a significant attention from the academic community. Considering the size of the bio-particles and the throughput of the practical applications, manipulation of the bio-particles is a challenging problem. Different techniques are available for the manipulation of bio-particles in microfluidic systems. In this review, some of the techniques for the manipulation of bio-particles; namely hydrodynamic based, electrokinetic-based, acoustic-based, magnetic-based and optical-based methods have been discussed. The comparison of different techniques and the recent applications regarding the microfluidic bio-particle manipulation for different biotechnology applications are presented. Finally, challenges and the future research directions for microfluidic bio-particle manipulation are addressed.

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“…A particle of volume V p in a magnetic field B experiences the magnetic force in the inertia frame [15]:…”

Section: Modelmentioning

confidence: 99%

“…A separate group of researchers performed magnetic-activated cell sorting to obtain viable and morphologically normal spermatozoa that enjoy higher cryosurvival rates [13,14]. A magnetic particle in diamagnetic medium experiences a magnetic force towards the region of higher magnetic field density, while the opposite is true for a diamagnetic particle in paramagnetic medium [15]. Therefore, the sperm cells may be doped with paramagnetic nanoparticles [16] or sorted in their natural form via diamagnetophoresis [17].…”

Section: Introductionmentioning

confidence: 99%

Supervised Learning to Predict Sperm Sorting by Magnetophoresis

2018

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Machine learning is gaining popularity in the commercial world, but its benefits are yet to be well-utilised by many in the microfluidics community. There is immense potential in bridging the gap between applied engineering and artificial intelligence as well as statistics. We illustrate this by a case study investigating the sorting of sperm cells for assisted reproduction. Slender body theory (SBT) is applied to compute the behavior of sperm subjected to magnetophoresis, with due consideration given to statistical variations. By performing computations on a small subset of the generated data, we train an ensemble of four supervised learning algorithms and use it to make predictions on the velocity of each sperm. Our results suggest that magnetophoresis can magnify the difference between normal and abnormal cells, such that a sorted sample has over twice the proportion of desirable cells. In addition, we demonstrated that the predictions from machine learning gave comparable results with significantly lower computational costs.

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Diamagnetic repulsion—A versatile tool for label-free particle handling in microfluidic devices

Cited by 116 publications

References 21 publications

Continuous-flow ferrohydrodynamic sorting of particles and cells in microfluidic devices

Continuous-flow ferrohydrodynamic sorting of particles and cells in microfluidic devices

Microfluidic bio-particle manipulation for biotechnology

Supervised Learning to Predict Sperm Sorting by Magnetophoresis

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