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Dielectrophoresis for Bioparticle Manipulation
Open accessAbstract
As an ideal method to manipulate biological particles, the dielectrophoresis (DEP) technique has been widely used in clinical diagnosis, disease treatment, drug development, immunoassays, cell sorting, etc. This review summarizes the research in the field of bioparticle manipulation based on DEP techniques. Firstly, the basic principle of DEP and its classical theories are introduced in brief; Secondly, a detailed introduction on the DEP technique used for bioparticle manipulation is presented, in which the applications are classified into five fields: capturing bioparticles to specific regions, focusing bioparticles in the sample, characterizing biomolecular interaction and detecting microorganism, pairing cells for electrofusion and separating different kinds of bioparticles; Thirdly, the effect of DEP on bioparticle viability is analyzed; Finally, the DEP techniques are summarized and future trends in bioparticle manipulation are suggested.
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Jones, T. B. (1995) · doi:10.1017/cbo9780511574498 · Cited by 2,786 · cited 1×
“If the electric field is non-uniform, a net force will act on the particle to drive the particle to move toward/against the direction of the electric field maxima [11].”
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Cited by
Han, S.-I., Kim, H. S., Han, K.-H., & Han, A. (2019) · Lab on a Chip · doi:10.1039/c9lc00850k · Cited by 40
Metadata
- Authors
- Qian, C., Huang, H., Chen, L., Li, X., Ge, Z., Chen, T., Yang, Z., & Sun, L.
- Venue
- International Journal of Molecular Sciences
- Publisher
- MDPI AG
- Published
- 2014-10-10
- Volume
- 15
- Issue
- 10
- Pages
- 18281-18309
- ISSN
- 1422-0067 (ISSN-L)
- OpenAlex
- W2069278072
- Cited by
- 190
- References
- 1
- FWCI
- 7.61
- Type
- journal article
- Language
- en
- Open access
- gold
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- Qian, C., Huang, H., Chen, L., Li, X., Ge, Z., Chen, T., Yang, Z., & Sun, L. (2014). Dielectrophoresis for Bioparticle Manipulation. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms151018281
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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