Bioresorbable Silicon Nanomembranes and Iron Catalyst Nanoparticles for Flexible, Transient Electrochemical Dopamine Monitors

Hyun Seung Kim, Seung Min Yang, Tae Min Jang, Nuri Oh, Hee Soo Kim, Suk-Won Hwang

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

A strategy of materials synthesis, characteristic evaluations, and manufacturing process for a mechanically elastic, biologically safe silicon-based dopamine detector that is designed to be completely transient, i.e., dissolved in water and/or biofluids, potentially in the brain after a desired period of operation, is introduced. Use of inexpensive, bioresorbable iron (Fe)-based nanoparticles (NPs) is one of the attractive choices for efficient catalytic oxidation of dopamine as an alternative for noble, nontransient platinum (Pt) nanoparticles, based on extensive studies of synthesized materials and catalytic reactions. Arrays of transient dopamine sensors validate electrochemical functionality to determine physiological levels of dopamine and to selectively sense dopamine in a variety of neurotransmitters, illuminating feasibilities for a higher level of soft, transient electronic implants integrated with other components of overall system.

Original languageEnglish
Article number1801071
JournalAdvanced Healthcare Materials
Volume7
Issue number24
DOIs
Publication statusPublished - 2018 Dec 19

Fingerprint

Silicon
Nanoparticles
Dopamine
Iron
Catalysts
Electrochemical sensors
Catalytic oxidation
Platinum
Neurotransmitter Agents
Brain
Detectors
Water

Keywords

  • bioresorbable
  • dopamine sensors
  • flexible
  • iron catalyst
  • transient

ASJC Scopus subject areas

  • Biomaterials
  • Biomedical Engineering
  • Pharmaceutical Science

Cite this

Bioresorbable Silicon Nanomembranes and Iron Catalyst Nanoparticles for Flexible, Transient Electrochemical Dopamine Monitors. / Kim, Hyun Seung; Yang, Seung Min; Jang, Tae Min; Oh, Nuri; Kim, Hee Soo; Hwang, Suk-Won.

In: Advanced Healthcare Materials, Vol. 7, No. 24, 1801071, 19.12.2018.

Research output: Contribution to journalArticle

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