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A novel non-enzymatic dopamine sensors based on NiO-reduced graphene oxide hybrid nanosheets

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Abstract

Ni(OH)2 nanoflakes (NFs) and graphene oxide (GO) nanosheets were prepared by a hydrothermal process and the modified Hummer’s method, respectively. Then, Ni(OH)2 NFs were dispersed in the GO suspension with the assistance of ultrasonic. Finally, the mixed colloidal solution was uniformly sprayed onto the surface of indium tin oxide (ITO) glass and annealed to obtain the NiO-reduced GO (RGO)/ITO electrode, which subsequently used for electrochemical sensing of dopamine (DA) analyte. The NiO-RGO/ITO electrode exhibits enhanced electrochemical response in the aqueous solution of DA analyte, which shows a high sensitivity (1.04 µA µM− 1), the lower measured detection limit (1 µM). The NiO-RGO/ITO electrode also exhibits an excellent selectivity under the interference of uric acid, repeatability and stability. The prepared sensor has been successfully applied in real samples and has a great potential to be used in clinical medicine.

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Acknowledgements

We acknowledge the financial support from the Ministry of Personnel of China (2015192), Postdoctoral Initial Founding of Heilongjiang Province (LBH-Q14117), Technology Foundation for Selected Overseas Chinese Scholar, Science Funds for the Young Innovative Talents of HUST (201604) and the Innovative Talent Fund of Harbin city (2016RAQXJ185).

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Authors and Affiliations

  1. School of Materials Science and Engineering, Harbin University of Science and Technology, Harbin, 150040, People’s Republic of China

    Hong Yan Yue, Hong Jie Zhang, Shuo Huang, Xin Gao, Shan Shan Song, Zhao Wang, Wan Qiu Wang & En Hao Guan

  2. Department of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin, 150001, People’s Republic of China

    Shuo Huang

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  1. Hong Yan Yue
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  2. Hong Jie Zhang
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Correspondence to Hong Yan Yue.

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Yue, H.Y., Zhang, H.J., Huang, S. et al. A novel non-enzymatic dopamine sensors based on NiO-reduced graphene oxide hybrid nanosheets. J Mater Sci: Mater Electron 30, 5000–5007 (2019). https://doi.org/10.1007/s10854-019-00796-1

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