Interdigitated Gear-Shaped Screen-Printed Electrode Using G-PANI Ink for Sensitive Electrochemical Detection of Dopamine
In this research, a novel interdigitated gear-shaped, graphene-based electrochemical biosensor was developed for the detection of dopamine (DA). The sensor’s innovative design improves the active surface area by 94.52% and 57% compared to commercially available Metrohm DropSens 110 screen-printed sensors and printed circular sensors, respectively. The screen-printed electrode was fabricated using laser processing and modified with graphene polyaniline conductive ink (G-PANI) to enhance its electrochemical properties. Fourier Transform Infrared (FTIR) Spectroscopy and X-ray diffraction (XRD) were employed to characterize the physiochemical properties of the sensor. Dopamine, a neurotransmitter crucial for several body functions, was detected within a linear range of 0.1–100 µM, with a Limit of Detection (LOD) of 0.043 µM (coefficient of determination, R2 = 0.98) in phosphate-buffer saline (PBS) with ferri/ferrocyanide as the redox probe. The performance of the sensor was evaluated using cyclic voltammetry (CV) and Chronoamperometry, demonstrating high sensitivity and selectivity. The interdigitated gear-shaped design exhibited excellent repeatability, with a relative standard deviation (RSD) of 1.2% (n = 4) and reproducibility, with an RSD of 2.3% (n = 4). In addition to detecting dopamine in human serum, the sensor effectively distinguished dopamine in a ternary mixture containing uric acid (UA) and ascorbic acid (AA). Overall, this novel sensor design offers a reliable, disposable, and cost-effective solution for dopamine detection, with potential applications in medical diagnostics and neurological research.
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)
- Ridma Tabassum
Institutions
- University of Kansas (US)
- University of South Florida (US)
- The University of Texas Rio Grande Valley (US)
Publication Details
- Journal
- Journal of Sensor and Actuator Networks
- Published
- 2024-12-06
- DOI
- https://doi.org/10.3390/jsan13060084
- Citations
- 1
- Primary Topic
- Electrochemical sensors and biosensors
- Type
- article
- Field-Weighted Citation Impact
- 0.21
Funders
- National Science Foundation
- University of Texas Rio Grande Valley