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February 14, 2026Nano-electrochemistry & Nano-photochemistry0 citationsOpen Access

CuMg Alloy Catalyst for Electrochemical Dopamine Detection

WXWenlong XuHarbin Electric Corporation (China)CWCheng WangQingdao UniversityYCY. ChenVanderbilt University

Key Points

  • This research aims to improve electrochemical sensors for dopamine detection by utilizing a Cu1Mg1 bimetallic alloy catalyst.
  • Developed an electrochemical sensor with a Cu1Mg1 bimetallic alloy catalyst.
  • Synthesized the alloy using a straightforward method.
  • Conducted mechanistic studies to evaluate the role of Mg in improving conductivity and stability.
  • The sensor showed a wide linear detection range from 0.01 to 100 μM for dopamine.
  • Demonstrated excellent selectivity against common interfering substances.
  • Achieved rapid response times and enhanced long-term stability due to the synergistic effects between Cu and Mg.

Abstract

Electrochemical sensors offer rapid, cost-effective, and portable detection but often suffer from narrow linear ranges and poor long-term stability due to catalyst degradation or surface fouling. Herein, an electrochemical sensor employing a Cu1Mg1 bimetallic alloy catalyst was developed for highly sensitive and rapid detection of dopamine (DA). The Cu1Mg1 alloy, synthesized via a facile method, exhibited enhanced electrocatalytic activity due to synergistic effects between Cu and Mg, optimizing electron transfer and surface reactivity. The sensor demonstrated a wide linear range (0.01–100 μM) and excellent selectivity against common interferents. Notably, it achieved rapid response and superior long-term stability. Mechanistic studies revealed that Mg’s role in stabilizing Cu active sites and enhancing the conductivity was pivotal for broad-range detection. This work highlights the potential of Cu1Mg1 alloys as efficient catalysts for real-time, reliable neurotransmitter monitoring in biomedical applications, providing theoretical guidance for understanding the structure−property relationship.

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Cite This Study

Xu et al. (2026) studied this question.

synapsesocial.com/papers/699011b32ccff479cfe58a46https://doi.org/10.53941/nenp.2026.100003
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