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Electrochemical immunoassay for the detection of stress biomarkers

Abdulsattar, Jwan O.; Greenway, Gillian M.; Wadhawan, Jay D.


Jwan O. Abdulsattar

Gillian M. Greenway



A rapid electrochemical immunoassay method was developed to detect and measure stress biomarkers (cortisol and cortisone) in two biological samples (Zebrafish whole-body and artificial saliva). This methodology utilizes an immunoassay approach taking advantage of the lock and key mechanism that is related to the antibody-antigen interaction depending on the reliable immobilization of the antibody labelled with ferrocene tags (Ab-Fc) on a modified tin-doped indium oxide (ITO) electrode using electrochemical instrumentation to build a POC platform. The limit of detection (LOD) obtained for this biosensor was 1.03 pg ml−1 for cortisol and 0.68 pg ml−1 for cortisone, respectively. The correlation coefficient was 0.9852 and 0.9841 for cortisol and cortisone, respectively with a linear concentration from (0-50 ng ml−1) which covers the standard levels of stress hormones in both selected biological samples. The incubation time was investigated and 30 min was found to be the optimum incubation time. This time would be acceptable for the POC system as total process time can be determined within 35 min.

Journal Article Type Article
Publication Date 2020-03
Journal Heliyon
Print ISSN 2405-8440
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 6
Issue 3
Article Number e03558
APA6 Citation Abdulsattar, J. O., Greenway, G. M., & Wadhawan, J. D. (2020). Electrochemical immunoassay for the detection of stress biomarkers. Heliyon, 6(3),
Keywords Biomedical engineering; Electrochemistry; BiosensorsImmunoassay; Stress biomarkers; Point of care
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Additional Information This article is maintained by: Elsevier; Article Title: Electrochemical immunoassay for the detection of stress biomarkers; Journal Title: Heliyon; CrossRef DOI link to publisher maintained version:; Content Type: article; Copyright: Crown Copyright © 2020 Published by Elsevier Ltd.


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Copyright Statement
© 2020 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (

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