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A Novel Dopamine Electrochemical Sensor Based on Pt/CNTs-N-S/Electrode
Pingping Yang1, Zhaopu Li2, Jinpu Xie2
1School of Biological Science and Medical Engineering, Hunan University of Technology, Zhuzhou 412007, China.
Sensors (Basel, Switzerland)
|March 28, 2026
Summary
This study introduces a novel platinum nanoparticle sensor on sulfur and nitrogen-doped carbon nanotubes for highly sensitive dopamine detection. The new sensor offers excellent stability and anti-interference, crucial for diagnosing diseases related to dopamine levels.
Area of Science:
- Electrochemistry
- Materials Science
- Nanotechnology
Background:
- Dopamine (DA) is vital for human metabolism and its detection is critical for diagnosing various diseases.
- Existing methods for DA detection often lack sensitivity, selectivity, or stability.
Purpose of the Study:
- To develop an innovative composite material for highly sensitive and selective electrochemical detection of dopamine.
- To synthesize and characterize platinum nanoparticle sensors on sulfur and nitrogen-doped multi-walled carbon nanotubes (Pt/CNTs-N-S).
Main Methods:
- Synthesis of sulfur (S) and nitrogen (N) co-doped multi-walled carbon nanotubes (MWCNTs).
- Loading of platinum (Pt) nanoparticles onto the modified MWCNTs to create Pt/CNTs-N-S sensors.
- Electrochemical characterization and performance evaluation for dopamine detection.
Main Results:
- The Pt/CNTs-N-S sensor demonstrated a wide linear detection range for dopamine from 0.0078 to 2 mM.
- Achieved a low limit of detection (LOD) of 0.73 μM for dopamine.
- The sensor exhibited excellent stability and anti-interference capabilities, attributed to N-S co-doping and enhanced electrochemically active surface area (ESCA).
Conclusions:
- The developed Pt/CNTs-N-S sensor offers a sensitive, selective, and stable platform for electrochemical dopamine detection.
- Co-doping MWCNTs with N and S significantly enhances sensor performance.
- This strategy provides a practical approach for developing advanced Pt-based electrochemical sensors for biomedical applications.

