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Particle separation in surface acoustic wave microfluidic devices using reprogrammable, pseudo-standing waves

Simon, G; Pailhas, Y; Andrade, MAB; Reboud, J; Marques-Hueso, J; Desmulliez, MPY; Cooper, JM; ... Bernassau, AL; + view all (2018) Particle separation in surface acoustic wave microfluidic devices using reprogrammable, pseudo-standing waves. Applied Physics Letters , 113 (4) , Article 044101. 10.1063/1.5035261. Green open access

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Abstract

We report size and density/compressibility-based particle sorting using on-off quasi-standing waves based on the frequency difference between two ultrasonic transducers. The 13.3 MHz fundamental operating frequency of the surface acoustic wave microfluidic device allows the manipulation of particles on the micrometer scale. Experiments, validated by computational fluid dynamics, were carried out to demonstrate size-based sorting of 5–14.5 lm diameter polystyrene (PS) particles and density/compressibility-based sorting of 10 lm PS, iron-oxide, and poly(methyl methacrylate) particles, with densities ranging from 1.05 to 1.5 g/cm3 . The method shows a sorting efficiency of >90% and a purity of >80% for particle separation of 10 lm and 14.5 lm, demonstrating better performance than similar sorting methods recently published (72%–83% efficiency). The sorting technique demonstrates high selectivity separation of particles, with the smallest particle ratio being 1.33, compared to 2.5 in previous work. Density/compressibility-based sorting of polystyrene and iron-oxide particles showed an efficiency of 97 6 4% and a purity of 91 6 5%. By varying the sign of the acoustic excitation signal, continuous batch acoustic sorting of target particles to a desired outlet was demonstrated with good sorting stability against variations of the inflow rates

Type: Article
Title: Particle separation in surface acoustic wave microfluidic devices using reprogrammable, pseudo-standing waves
Open access status: An open access version is available from UCL Discovery
DOI: 10.1063/1.5035261
Publisher version: https://doi.org/10.1063/1.5035261
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10114416
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