Engineering Cobalt-Doped Nickel Oxide/Gadolinium-Doped Cerium Dioxide Heterojunction Nanofibers for Highly Selective and Sensitive Dopamine Detection

Developing accurate and effective methods of dopamine (DA) detection is vital for the rapid diagnosis of diseases related to abnormal DA levels. Herein, we developed a high-performance, nonenzymatic dopamine electrochemical sensor for DA detection. The sensor was fabricated by synthesizing metal-oxide heterojunction porous nanofibers (PNFs), specifically cobalt-doped nickel oxide and gadolinium-doped cerium dioxide (Co-NiO/GDC), on a carbon nanofiber template using electrospinning and high-temperature annealing. The doping of Co<sup>2+</sup> and Gd<sup>3+</sup> was shown to induce lattice distortions in NiO and CeO<sub>2</sub>, which in turn generated microstrains and surface defects at the phase interface. These structural enhancements played a key role in significantly boosting the material's catalytic activity for DA detection. The Co-NiO/GDC PNFs sensor demonstrated remarkable performance metrics, including a wide linear dynamic range (0.1 to 1100 μM), a high sensitivity (508.7 μA·mM<sup>-1</sup>·cm<sup>-2</sup>) and an exceptionally low detection limit (LOD = 0.018 μM, S/N = 3). The sensor also exhibited superior anti-interference properties, repeatability, reproducibility, and long-term stability. The sensor's practical utility was further validated by its ability to accurately detect DA levels in complex biological matrices such as animal serum and artificial urine, showcasing its potential for practical clinical applications.

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Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2025-11-07
DOI
https://doi.org/10.1021/acsami.5c17467
Primary Topic
Electrochemical sensors and biosensors
Type
article
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article

Engineering Cobalt-Doped Nickel Oxide/Gadolinium-Doped Cerium Dioxide Heterojunction Nanofibers for Highly Selective and Sensitive Dopamine Detection

Han Zhu, Xin Qian, Shuanglong Lu, Mingliang Du et al.
ACS Applied Materials & Interfaces
Electrochemical sensors and biosensors
article

Engineering Cobalt-Doped Nickel Oxide/Gadolinium-Doped Cerium Dioxide Heterojunction Nanofibers for Highly Selective and Sensitive Dopamine Detection

Han Zhu, Xin Qian, Shuanglong Lu, Mingliang Du, Wanchen Xie, Baochun Guo, Fang Duan
article en

Abstract

Developing accurate and effective methods of dopamine (DA) detection is vital for the rapid diagnosis of diseases related to abnormal DA levels. Herein, we developed a high-performance, nonenzymatic dopamine electrochemical sensor for DA detection. The sensor was fabricated by synthesizing metal-oxide heterojunction porous nanofibers (PNFs), specifically cobalt-doped nickel oxide and gadolinium-doped cerium dioxide (Co-NiO/GDC), on a carbon nanofiber template using electrospinning and high-temperature annealing. The doping of Co<sup>2+</sup> and Gd<sup>3+</sup> was shown to induce lattice distortions in NiO and CeO<sub>2</sub>, which in turn generated microstrains and surface defects at the phase interface. These structural enhancements played a key role in significantly boosting the material's catalytic activity for DA detection. The Co-NiO/GDC PNFs sensor demonstrated remarkable performance metrics, including a wide linear dynamic range (0.1 to 1100 μM), a high sensitivity (508.7 μA·mM<sup>-1</sup>·cm<sup>-2</sup>) and an exceptionally low detection limit (LOD = 0.018 μM, S/N = 3). The sensor also exhibited superior anti-interference properties, repeatability, reproducibility, and long-term stability. The sensor's practical utility was further validated by its ability to accurately detect DA levels in complex biological matrices such as animal serum and artificial urine, showcasing its potential for practical clinical applications.

ACS Applied Materials & InterfacesVol. 17(46)
Jiangnan University (CN), Ministry of Education of the People's Republic of China (CN), Zhejiang Institute of Modern Textile Industry (CN), South China University of Technology (CN)
Openalex Percentile: Top 67%
Electrochemical sensors and biosensors
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