Wireless dielectrophoresis trapping and remote impedance sensing via resonant wireless power transfer

Christopher T. Ertsgaard, Minki Kim, Jungwon Choi, Sang Hyun Oh

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


Nearly all biosensing platforms can be described using two fundamental steps—collection and detection. Target analytes must be delivered to a sensing element, which can then relay the transduced signal. For point-of-care technologies, where operation is to be kept simple, typically the collection step is passive diffusion driven—which can be slow or limiting under low concentrations. This work demonstrates an integration of both active collection and detection by using resonant wireless power transfer coupled to a nanogap capacitor. Nanoparticles suspended in deionized water are actively trapped using wireless dielectrophoresis and positioned within the most sensitive fringe field regions for wireless impedance-based detection. Trapping of 40 nm particles and larger is demonstrated using a 3.5 VRMS, 1 MHz radiofrequency signal delivered over a distance greater than 8 cm from the nanogap capacitor. Wireless trapping and release of 1 µm polystyrene beads is simultaneously detected in real-time over a distance of 2.5 cm from the nanogap capacitor. Herein, geometric scaling strategies coupled with optimal circuit design is presented to motivate combined collection and detection biosensing platforms amenable to wireless and/or smartphone operation.

Original languageEnglish (US)
Article number103
JournalNature communications
Issue number1
StatePublished - Dec 2023

Bibliographical note

Funding Information:
This research was supported by the National Science Foundation (NSF ECCS 1610333 and ECCS 2227459 to S.-H.O.). C.T.E. acknowledges support from the NSF Graduate Research Fellowship Program. S.-H.O. further acknowledges support from the Sanford P. Bordeau Endowed Chair at the University of Minnesota and partial support from the McKnight Foundation. Device fabrication was performed in the Minnesota Nano Center at the University of Minnesota, which is supported by the NSF through the National Nanotechnology Coordinated Infrastructure (NNCI) under Award Number ECCS-2025124.

Publisher Copyright:
© 2023, The Author(s).

PubMed: MeSH publication types

  • Journal Article
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.


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