Study on the non-enzymatic electrochemical glucose quantitative detection method in Na₂S₂O₃ neutral solution environment

ABSTRACT

In order to find a green and safe solution as the base solution for the quantitative detection of glucose, the neutral solution Na₂S₂O₃ was selected as the base solution. A three-electrode electrochemical system was designed. In this system, the working electrode was copper sheet, the counter electrode was platinum electrode, and the reference electrode was saturated KCl calomel solution electrode. Cyclic voltammetry (CV) and chronoamperometry(i-t) methods were used for the experiment. CV scanning results showed that glucose could produce the oxidation-reduction reaction on the surface of the copper electrode, and the parameters of i-t were adjusted. According to the results of i-t scanning, the quantitative detection model of glucose was established. The model was $x=e^{\left[\frac{-\sqrt{0.3305}\ast ln\frac{\left(y-0.1039\right)\ast \sqrt{2\pi }\ast 0.4065}{8.3459\ast {10}^{-4}}+ln7.3672\ast {10}^{-4}}{1+\sqrt{0.3305}}\right]}$. The regression parameter R² was 0.99672. Glucose was tested with different base solutions. Results showed that Na₂S₂O₃ solution was a good base solution. The i-t control experiments showed that the proposed method were effective in Na₂S₂O₃ solution.

KEYWORDS:

• Cyclic voltammetry
• chronoamperometry
• Na₂S₂O₃ solution
• glucose
• non-enzymatic detection

Acknowledgments

The authors acknowledge programmers who contributed to the instrumentation and devices. Additionally, thanks to the people who fabricated the experimental materials.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Authors contribution

Jingyu Zhang: Methodology, Investigation, Visualization, Writing – original draft. Yaping Xie: Validation, Formal analysis, Investigation, Review and editing. Wenhui Han: Data collection, Validation, Visualization, Formal analysis. Guohua Hui: conceptualization, resources, funding acquisition, review and editing, visualization, supervision. Yue Zheng: Validation, Visualization, Formal analysis, Investigation. Qiansheng Ye: Validation, Formal analysis, Investigation. Yuxuan Xu: Visualization, Formal analysis, Investigation. Xinnan Chen: Visualization, Formal analysis, Investigation. Qi Lv: Formal analysis, Investigation, Resources, Review and editing. Chengxiang Yong: Formal analysis, Investigation. Yongzhi Lai: Formal analysis, Investigation. Xinao Shen: Formal analysis, Investigation. Peng Wu: conceptualization, resources, funding acquisition, review and editing, visualization, supervision, project administration.

Data availability statement

Data sharing does not apply to this article, as no datasets were generated or analyzed during the current study.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.

Additional information

Funding

This research is supported by the Scientific Research Project of Zhejiang Province (Grant No. LGG19F010012), National College Student Research Programme, College Student Research Programme of Zhejiang Province (Grant No. 2022R412A028, 2022R412A034) and Zhejiang A&F University.