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Graphene Oxide Functionalized Biosensor for Detection of Stress-Related Biomarkers.
Santiago, Erican; Poudyal, Shailu Shree; Shin, Sung Y; Yoon, Hyeun Joong.
  • Santiago E; Department of Biomedical Engineering, Michigan Technological University, Houghton, MI 49931, USA.
  • Poudyal SS; Department of Electrical Engineering and Computer Science, South Dakota State University, Brookings, SD 57006, USA.
  • Shin SY; Department of Electrical Engineering and Computer Science, South Dakota State University, Brookings, SD 57006, USA.
  • Yoon HJ; Department of Biomedical Engineering, Michigan Technological University, Houghton, MI 49931, USA.
Sensors (Basel) ; 22(2)2022 Jan 12.
Article in English | MEDLINE | ID: covidwho-1632064
ABSTRACT
A graphene oxide (GO)-based cortisol biosensor was developed to accurately detect cortisol concentrations from sweat samples at point-of-care (POC) sites. A reference electrode, counter electrode, and working electrode make up the biosensor, and the working electrode was functionalized using multiple layers consisting of GO and antibodies, including Protein A, IgG, and anti-Cab. Sweat samples contact the anti-Cab antibodies to transport electrons to the electrode, resulting in an electrochemical current response. The sensor was tested at each additional functionalization layer and at cortisol concentrations between 0.1 and 150 ng/mL to determine how the current response differed. A potentiostat galvanostat device was used to measure and quantify the electrochemical response in the GO-based biosensor. In both tests, the electrochemical responses were reduced in magnitude with the addition of antibody layers and with increased cortisol concentrations. The proposed cortisol biosensor has increased accuracy with each additional functionalization layer, and the proposed device has the capability to accurately measure cortisol concentrations for diagnostic purposes.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Biosensing Techniques / Graphite Type of study: Diagnostic study / Prognostic study Language: English Year: 2022 Document Type: Article Affiliation country: S22020558

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Biosensing Techniques / Graphite Type of study: Diagnostic study / Prognostic study Language: English Year: 2022 Document Type: Article Affiliation country: S22020558