Non-enzymatic dopamine oxidation-based sensing using CuTCNQ as a redox-active interface
Abstract The precise and selective detection of dopamine (DOP) is crucial for identifying neurological diseases, yet high costs and complexity limit traditional approaches. Here, we report a CuTCNQ-based electrochemical sensor that enables enhanced stability and conductivity, facilitating fast and reversible electron transfer between Cu 2 ⁺ and Cu⁺ redox states. The active redox couple enables DOP quantification using amperometry at + 0.20 V, showing a linear response from 0.10 to 0.55 µM with a limit of detection of 0.085 µM (S/N = 3). The sensor demonstrated excellent selectivity with negligible interference from glucose, ascorbic acid, and paracetamol, and maintained over 95% of its initial current after 60 days of storage. Density functional theory (DFT) calculations reveal robust Cu–O coordination with dopamine, explaining the rapid electron transfer kinetics. CuTCNQ-based sensors provide a cost-effective, stable, and scalable platform for DOP sensing, with potential future applications in real-time, wearable neurosensing.
Authors
- Bharat Prasad Sharma (ORCID: https://orcid.org/0000-0001-8700-9697)
- Abdulaziz Alhazaa (ORCID: https://orcid.org/0000-0002-6213-6662)
- Muhammad Ali Shar (ORCID: https://orcid.org/0000-0002-9407-0979)
- Razium Ali Soomro
- Selcan Karakuş
- Sirrajuddin
- Sana Jawaid
Institutions
- University of Bradford (GB)
- University of Karachi (PK)
- King Saud University (SA)
- Yan'an University (CN)
- Istanbul University-Cerrahpaşa (TR)
- International Center for Chemical and Biological Sciences (PK)
- Institute of Process Engineering (CN)
- Beijing Advanced Sciences and Innovation Center (CN)
- Istanbul University (TR)
- Beijing University of Chemical Technology (CN)
Publication Details
- Journal
- Journal of Materials Science Materials in Electronics
- Published
- 2026-01-01
- DOI
- https://doi.org/10.1007/s10854-025-16518-9
- Primary Topic
- Electrochemical sensors and biosensors
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- King Saud University