A virtual impactor for hydrodynamic particle classification

Y. H. Kim, S. Park, M. H. Lim, Jungho Hwang, J. S. Shin, Yong-Jun Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

We demonstrate a passive hydrodynamic particle sorter, a micromachined virtual impactor, for classifying biological substances according to their size. The virtual impactor can classify particles from a fully chaotic mixture composed of various sized particle. The virtual impactor is fabricated through simple silicon bulk micromachining. For preliminary performance test, monodispersed V653 cells with diameter of 10 μm were classified. Percent deviation of the experimental result was 13% compared to the theoretical value. For verifying collection efficiency of the particle sorter, polystyrene beads with diameters of 3 μm and 15 μm were sorted. Collection efficiency of 3 μm polystyrene beads was 68%.

Original languageEnglish
Title of host publicationTRANSDUCERS and EUROSENSORS '07 - 4th International Conference on Solid-State Sensors, Actuators and Microsystems
Pages2231-2234
Number of pages4
DOIs
Publication statusPublished - 2007 Dec 1
Event4th International Conference on Solid-State Sensors, Actuators and Microsystems, TRANSDUCERS and EUROSENSORS '07 - Lyon, France
Duration: 2007 Jun 102007 Jun 14

Other

Other4th International Conference on Solid-State Sensors, Actuators and Microsystems, TRANSDUCERS and EUROSENSORS '07
CountryFrance
CityLyon
Period07/6/1007/6/14

Fingerprint

Polystyrenes
Hydrodynamics
Micromachining
Silicon

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Kim, Y. H., Park, S., Lim, M. H., Hwang, J., Shin, J. S., & Kim, Y-J. (2007). A virtual impactor for hydrodynamic particle classification. In TRANSDUCERS and EUROSENSORS '07 - 4th International Conference on Solid-State Sensors, Actuators and Microsystems (pp. 2231-2234). [4300612] https://doi.org/10.1109/SENSOR.2007.4300612
Kim, Y. H. ; Park, S. ; Lim, M. H. ; Hwang, Jungho ; Shin, J. S. ; Kim, Yong-Jun. / A virtual impactor for hydrodynamic particle classification. TRANSDUCERS and EUROSENSORS '07 - 4th International Conference on Solid-State Sensors, Actuators and Microsystems. 2007. pp. 2231-2234
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Kim, YH, Park, S, Lim, MH, Hwang, J, Shin, JS & Kim, Y-J 2007, A virtual impactor for hydrodynamic particle classification. in TRANSDUCERS and EUROSENSORS '07 - 4th International Conference on Solid-State Sensors, Actuators and Microsystems., 4300612, pp. 2231-2234, 4th International Conference on Solid-State Sensors, Actuators and Microsystems, TRANSDUCERS and EUROSENSORS '07, Lyon, France, 07/6/10. https://doi.org/10.1109/SENSOR.2007.4300612

A virtual impactor for hydrodynamic particle classification. / Kim, Y. H.; Park, S.; Lim, M. H.; Hwang, Jungho; Shin, J. S.; Kim, Yong-Jun.

TRANSDUCERS and EUROSENSORS '07 - 4th International Conference on Solid-State Sensors, Actuators and Microsystems. 2007. p. 2231-2234 4300612.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - We demonstrate a passive hydrodynamic particle sorter, a micromachined virtual impactor, for classifying biological substances according to their size. The virtual impactor can classify particles from a fully chaotic mixture composed of various sized particle. The virtual impactor is fabricated through simple silicon bulk micromachining. For preliminary performance test, monodispersed V653 cells with diameter of 10 μm were classified. Percent deviation of the experimental result was 13% compared to the theoretical value. For verifying collection efficiency of the particle sorter, polystyrene beads with diameters of 3 μm and 15 μm were sorted. Collection efficiency of 3 μm polystyrene beads was 68%.

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Kim YH, Park S, Lim MH, Hwang J, Shin JS, Kim Y-J. A virtual impactor for hydrodynamic particle classification. In TRANSDUCERS and EUROSENSORS '07 - 4th International Conference on Solid-State Sensors, Actuators and Microsystems. 2007. p. 2231-2234. 4300612 https://doi.org/10.1109/SENSOR.2007.4300612