Issue 4, 2019

Electrochemical-digital immunosensor with enhanced sensitivity for detecting human salivary glucocorticoid hormone

Abstract

In this work, an ultra-sensitive electrochemical-digital sensor chip is devised for potential use as a digital stress analyzer for point-of-care testing (POCT) and preventive on-site recording of the hormone ‘cortisol’, a glucocorticoid class of steroid hormone present in the human saliva. The sensor was interfaced and re-configured with a high precision impedance converter system (AD5933) and used for electrochemical impedance spectroscopy (EIS) to evaluate the cortisol levels in seven saliva samples. To obtain enhanced biological (cortisol) recognition and achieve a lower limit of detection 0.87 ± 0.12 pg mL−1 (2.4 ± 0.38 pmol mL−1) with a wide range from 1 pg mL−1 to 10 ng mL−1 (2.75 pmol mL−1 to 27.58 pmol mL−1; R2 = 0.9831), bovine serum albumin (1% BSA) was utilized as an effective sensitivity enhancer in addition to optimizing the other two parameters: (i) anti-cortisol antibody (anti-CAb) covalently attached to micro-Au electrodes and (ii) saliva sample incubation time on the sensor chip. The results obtained in this work were corroborated with the gold standard ELISA test with an accuracy of 96.3% and other previously reported biosensors. We envisage that the conceivable standpoint of this study can be a practice towards new development in cortisol biosensing, which will be pertinent to POCT targeted for in vitro psychobiological study on patient cortisol in saliva, and finally an implantable sensor chip in the future.

Graphical abstract: Electrochemical-digital immunosensor with enhanced sensitivity for detecting human salivary glucocorticoid hormone

Supplementary files

Article information

Article type
Paper
Submitted
30 Oct 2018
Accepted
05 Dec 2018
First published
12 Dec 2018

Analyst, 2019,144, 1448-1457

Electrochemical-digital immunosensor with enhanced sensitivity for detecting human salivary glucocorticoid hormone

M. S. Khan, K. Dighe, Z. Wang, I. Srivastava, A. S. Schwartz-Duval, S. K. Misra and D. Pan, Analyst, 2019, 144, 1448 DOI: 10.1039/C8AN02085J

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