A Highly Sensitive Electrochemical Immunosensor for Cortisol Detection
In this research, an interdigitated gear-shaped working electrode is presented for cortisol sensing. Overall, the sensor was designed in a three-electrode system and was fabricated using direct laser scribing. A synthesized conductive ink based on graphene and polyaniline was further employed to enhance the electrochemical performance of the sensor. Scanning electron microscopy (SEM) and Fourier transform infrared (FTIR) spectroscopy were employed for physicochemical characterization of the laser-induced graphene (LIG) sensor. Cortisol, a biomarker essential in detecting stress, was detected both in phosphate-buffered saline (PBS, pH = 7.4) and human serum within a linear range of 100 ng/mL to 100 µg/mL. Ferri/ferrocyanide was employed as the redox probe to detect cortisol in PBS. The electrochemical performance of the developed sensor was assessed via differential pulse voltammetry (DPV), cyclic voltammetry (CV), electrochemical impedance spectroscopy (EIS), and chronoamperometry. The electrochemical performance demonstrates high sensitivity and selectivity alongside strong repeatability (relative standard deviation (RSD) = 3.8%, n = 4) and reproducibility (RSD = 5.85%, n = 5). Overall, these results highlight the sensor's reliability, high sensitivity, and repeatability and reproducibility in the detection of cortisol. The sensor successfully detected cortisol in the complex medium of human serum and effectively distinguished it in a ternary mixture containing cortisol and dopamine. Also, the use of direct laser writing on Kapton film makes the approach cost-effective and thus disposable, making it suitable for chronic stress diagnostics and neurological research applications.
Authors
- Ahmed Hasnain Jalal (ORCID: https://orcid.org/0000-0003-1857-1621)
- Ali Ashraf (ORCID: https://orcid.org/0000-0002-7437-879X)
- Pritu Parna Sarkar (ORCID: https://orcid.org/0009-0004-4680-9929)
- Nazmul Islam (ORCID: https://orcid.org/0000-0001-9237-1949)
- Fahmida Alam
Institutions
- University of South Florida (US)
- The University of Texas Rio Grande Valley (US)
Publication Details
- Journal
- Biosensors
- Published
- 2025-05-17
- DOI
- https://doi.org/10.3390/bios15050321
- Citations
- 3
- Primary Topic
- Electrochemical sensors and biosensors
- Type
- article
- Field-Weighted Citation Impact
- 2.19
Funders
- National Science Foundation
- University of Texas Rio Grande Valley