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Remote Microwave and Field-Effect Sensing Techniques for Monitoring Hydrogel Sensor Response.
Fawole, Olutosin Charles; Dolai, Subhashish; Leu, Hsuan-Yu; Magda, Jules; Tabib-Azar, Massood.
Afiliação
  • Fawole OC; Livanova Inc., 100 Cyberonics Blvd, Houston, TX 77058, USA. olutosin.fawole@gmail.com.
  • Dolai S; Electrical and Computer Engineering Department, University of Utah, Salt Lake City, UT 84112, USA. subhashish.dolai@utah.edu.
  • Leu HY; Chemical Engineering Department, University of Utah, Salt Lake City, UT 84112, USA. u1011614@utah.edu.
  • Magda J; Chemical Engineering Department, University of Utah, Salt Lake City, UT 84112, USA. magda@chemeng.utah.edu.
  • Tabib-Azar M; Electrical and Computer Engineering Department, University of Utah, Salt Lake City, UT 84112, USA. azar.m@utah.edu.
Micromachines (Basel) ; 9(10)2018 Oct 17.
Article em En | MEDLINE | ID: mdl-30424459
ABSTRACT
This paper presents two novel techniques for monitoring the response of smart hydrogels composed of synthetic organic materials that can be engineered to respond (swell or shrink, change conductivity and optical properties) to specific chemicals, biomolecules or external stimuli. The first technique uses microwaves both in contact and remote monitoring of the hydrogel as it responds to chemicals. This method is of great interest because it can be used to non-invasively monitor the response of subcutaneously implanted hydrogels to blood chemicals such as oxygen and glucose. The second technique uses a metal-oxide-hydrogel field-effect transistor (MOHFET) and its associated current-voltage characteristics to monitor the hydrogel's response to different chemicals. MOHFET can be easily integrated with on-board telemetry electronics for applications in implantable biosensors or it can be used as a transistor in an oscillator circuit where the oscillation frequency of the circuit depends on the analyte concentration.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article