Journal
ELECTROPHORESIS
Volume 43, Issue 1-2, Pages 212-231Publisher
WILEY
DOI: 10.1002/elps.202100194
Keywords
Biomarkers; Dielectrophoresis; Electrodes; Machine learning; Microfluidics
Funding
- National Science Foundation CAREER grant [1941748]
- Div Of Electrical, Commun & Cyber Sys
- Directorate For Engineering [1941748] Funding Source: National Science Foundation
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Dielectrophoresis is a widely utilized phenomenon in biomedical applications, particularly in the development of devices integrated with microfluidics, fluorescence, and electrical impedance for disease screening and diagnosis. Recent research has also shown the potential value of machine learning approaches in improving biomarker detection performance.
Dielectrophoresis is a well-understood phenomenon that has been widely utilized in biomedical applications. Recent advancements in miniaturization have contributed to the development of dielectrophoretic-based devices for a wide variety of biomedical applications. In particular, the integration of dielectrophoresis with microfluidics, fluorescence, and electrical impedance has produced devices and techniques that are attractive for screening and diagnosing diseases. This review article summarizes the recent utility of dielectrophoresis in assays of biomarker detection. Common screening and diagnostic biomarkers, such as cellular, protein, and nucleic acid, are discussed. Finally, the potential use of recent developments in machine learning approaches toward improving biomarker detection performance is discussed. This review article will be useful for researchers interested in the recent utility of dielectrophoresis in the detection of biomarkers and for those developing new devices to address current gaps in dielectrophoretic biomarker detection.
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