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Cited by 286

The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

Dielectrophoresis: Using Inhomogeneous AC Electrical Fields to Separate and Manipulate Cells

Pethig, Ronald·1996·Critical Reviews in Biotechnology

Abstract

Dielectrophoresis is the motion of particles caused by electrical polarization effects in inhomogeneous (nonuniform) electric fields. Unlike electrophoresis, the particles do not require a net electrical charge for motion to occur and AC rather than DC fields are employed to exploit the dielectric properties of the particles. Factors controlling the effective dielectric properties of cells and microorganisms include electrical double layers associated with surface charges, the conductivity and permittivity of their membranes and any cell walls, and their morphologies and structural architectures. In recent years, several laboratories have developed separation and manipulation techniques for cells and microorganisms based on dielectrophoresis, using both static and traveling AC fields. In this article, the basic physical factors influencing the dielectrophoretic behavior of particles are outlined, and ways in which these can be employed to achieve selective separation of cells and microorganisms are described.

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Metadata

Authors
Pethig, R.
Venue
Critical Reviews in Biotechnology
Published
1996-01
Volume
16
Issue
4
Pages
331-348
ISSN
  • 0738-8551 (ISSN-L)
  • 1549-7801
OpenAlex
W2163529431
Cited by
286
References
25
FWCI
10.15
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Dielectrophoresis: Using Inhomogeneous AC Electrical Fields to Separate and Manipulate Cells. https://app.cochat.ai/papers/10.3109/07388559609147425
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Pethig, R. (1996). Dielectrophoresis: Using Inhomogeneous AC Electrical Fields to Separate and Manipulate Cells. Critical Reviews in Biotechnology. https://doi.org/10.3109/07388559609147425

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.