Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
Ergebnis 17 von 64

Details

Autor(en) / Beteiligte
Titel
Signal-Based Methods in Dielectrophoresis for Cell and Particle Separation
Ist Teil von
  • Biosensors (Basel), 2022-07, Vol.12 (7), p.510
Ort / Verlag
Basel: MDPI AG
Erscheinungsjahr
2022
Quelle
Free E-Journal (出版社公開部分のみ)
Beschreibungen/Notizen
  • Separation and detection of cells and particles in a suspension are essential for various applications, including biomedical investigations and clinical diagnostics. Microfluidics realizes the miniaturization of analytical devices by controlling the motion of a small volume of fluids in microchannels and microchambers. Accordingly, microfluidic devices have been widely used in particle/cell manipulation processes. Different microfluidic methods for particle separation include dielectrophoretic, magnetic, optical, acoustic, hydrodynamic, and chemical techniques. Dielectrophoresis (DEP) is a method for manipulating polarizable particles’ trajectories in non-uniform electric fields using unique dielectric characteristics. It provides several advantages for dealing with neutral bioparticles owing to its sensitivity, selectivity, and noninvasive nature. This review provides a detailed study on the signal-based DEP methods that use the applied signal parameters, including frequency, amplitude, phase, and shape for cell/particle separation and manipulation. Rather than employing complex channels or time-consuming fabrication procedures, these methods realize sorting and detecting the cells/particles by modifying the signal parameters while using a relatively simple device. In addition, these methods can significantly impact clinical diagnostics by making low-cost and rapid separation possible. We conclude the review by discussing the technical and biological challenges of DEP techniques and providing future perspectives in this field.
Sprache
Englisch
Identifikatoren
ISSN: 2079-6374
eISSN: 2079-6374
DOI: 10.3390/bios12070510
Titel-ID: cdi_doaj_primary_oai_doaj_org_article_23e35ebbdd1b4b0b88c42968fb14fd33

Weiterführende Literatur

Empfehlungen zum selben Thema automatisch vorgeschlagen von bX