Chip integrated strategies for acoustic separation and manipulation of cells and particles

Laurell, Thomas; Petersson, Filip; Nilsson, Andréas

doi:10.1039/b601326k

Cited by 778 publications

(647 citation statements)

References 46 publications

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“…Thus, the primary acoustic radiation force will be enhanced and easier to drive the metal hollow nanostructures into the levitation plane. Due to the alloy frame density and its compressibility,23, 49 we also found that the secondary forces arising from the acoustic particle to particle interaction became much more significant, as shown in Video S7 (Supporting Information). The net effect of the primary and secondary acoustic radiation forces makes the acoustic levitation and swarm aggregations of the metal hollow nanostructures to be easily realized at low energy and clinically acceptable acoustic frequency.…”

Section: Discussionmentioning

confidence: 77%

“…The results indicate that the size parameter is not important for acoustic manipulation when the particle size is much smaller than the acoustic wavelength. According to the previous theory,23, 24, 45, 46, 47, 48 the primary acoustic radiation force F on small particles can be calculated as Equation (1)

F_{\max} = \frac{π P^{2} V_{normalP}}{2 λ} \frac{1}{ρ_{normalM} C_{normalM}^{2}} (\frac{5 ρ_{P} - 2 ρ_{M}}{2 ρ_{P} + ρ_{M}} - \frac{ρ_{M} C_{M}^{2}}{ρ_{P} C_{P}^{2}})

where P is acoustic pressure, V P is the volume of metal particle, ρ P and ρ M are the density of metal particle and medium, C P and C M are the speed of sound in particle and medium, respectively. Details are listed in Table S1 (Supporting Information).…”

Section: Discussionmentioning

confidence: 99%

“…In addition, acoustic trapping has been demonstrated the ability to restrict objects on the scale of large populations 19, 20. Techniques to achieve this goal are usually based on acoustic radiation force under a certain type of acoustic field, especially using counter‐propagating waves to set up standing wave nodes to trap the particles 15, 17, 21, 22, 23, 24. In general, the acoustic force on an object is proportional to the third power of the object radius in a standing wave field 23, 24.…”

Section: Introductionmentioning

confidence: 99%

“…Techniques to achieve this goal are usually based on acoustic radiation force under a certain type of acoustic field, especially using counter‐propagating waves to set up standing wave nodes to trap the particles 15, 17, 21, 22, 23, 24. In general, the acoustic force on an object is proportional to the third power of the object radius in a standing wave field 23, 24. When the particle size reduces to nanoscale, the acoustic force decreases rapidly, and Brownian motion of the particles by the collisions with water molecules increases significantly.…”

Section: Introductionmentioning

confidence: 99%

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Observation of Metal Nanoparticles for Acoustic Manipulation

et al. 2017

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Use of acoustic trapping for the manipulation of objects is invaluable to many applications from cellular subdivision to biological assays. Despite remarkable progress in a wide size range, the precise acoustic manipulation of 0D nanoparticles where all the structural dimensions are much smaller than the acoustic wavelength is still present challenges. This study reports on the observation of metal nanoparticles with different nanostructures for acoustic manipulation. Results for the first time exhibit that the hollow nanostructures play more important factor than size in the nanoscale acoustic manipulation. The acoustic levitation and swarm aggregations of the metal nanoparticles can be easily realized at low energy and clinically acceptable acoustic frequency by hollowing their nanostructures. In addition, the behaviors of swarm aggregations can be flexibly regulated by the applied voltage and frequency. This study anticipates that the strategy based on the unique properties of the metal hollow nanostructures and the manipulation method will be highly desirable for many applications.

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Section: Discussionmentioning

confidence: 77%

F_{\max} = \frac{π P^{2} V_{normalP}}{2 λ} \frac{1}{ρ_{normalM} C_{normalM}^{2}} (\frac{5 ρ_{P} - 2 ρ_{M}}{2 ρ_{P} + ρ_{M}} - \frac{ρ_{M} C_{M}^{2}}{ρ_{P} C_{P}^{2}})

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Observation of Metal Nanoparticles for Acoustic Manipulation

et al. 2017

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“…Depending on the application, their simpler channel geometry and faster manipulation speed may outweigh the complications of integrating electrodes in their designs. For example, acoustophoresis can separate particles and cells according to their size, density, as well as compressibility (Laurell et al 2007;Shi et al 2009;Wang and Zhe 2011). Dielectrophoresis (DEP), arising from interactions of cells' dipoles and their surrounding electric fields, can realize low-cost and integrated devices for cell manipulation (Voldman 2006).…”

Section: Introductionmentioning

confidence: 99%

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

Zhu

Cheng

Lee

et al. 2012

Microfluid Nanofluid

106

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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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Fluidics

Suthanthiraraj

Graves

2013

CP Cytometry

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The use of fluidics is implicit in a technology named “flow cytometry”, which flows a cell or particle through a sensing volume to obtain serial analysis of particles on a one by one basis. This flow of particles enables flow cytometry to collect information on multiple particle populations, giving it a distinct advantage over bulk analysis approaches. Moreover, flow cytometers can analyze thousands of particles per second in a single flowing stream. Additionally, use of volumetric sample delivery makes it possible for flow cytometers to accurately count cells and particles. Furthermore, the analysis results can be coupled with a fluidic diversion mechanism to sort and collect particles based on desired properties. Finally, when high throughput sampling technologies are employed to rapidly change the input of the sample stream, a flow cytometer can become an integral tool for high throughput screening. The above properties have made flow cytometry useful in a wide range of biomedical applications. In this unit we will present an overview of fluidic systems that make flow cytometry possible. This will introduce historical approaches, explanations of the commonly implemented current fluidics, and brief discussions of potential future fluidics where appropriate.

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Chip integrated strategies for acoustic separation and manipulation of cells and particles

Cited by 778 publications

References 46 publications

Observation of Metal Nanoparticles for Acoustic Manipulation

Observation of Metal Nanoparticles for Acoustic Manipulation

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

Fluidics

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