应用化学 ›› 2025, Vol. 42 ›› Issue (9): 1257-1264.DOI: 10.19894/j.issn.1000-0518.250176

• 研究论文 • 上一篇    下一篇

非酶电化学传感器的构建及其在运动员尿酸检测中的应用

曹瑾1(), 陈薄天2   

  1. 1.厦门大学嘉庚学院,漳州 363123
    2.厦门大学化学学院,厦门 361005
  • 收稿日期:2025-04-24 接受日期:2025-08-06 出版日期:2025-09-01 发布日期:2025-09-28
  • 通讯作者: 曹瑾

Construction of Non-Enzymatic Electrochemical Biosensor and Its Application in Uric Acid Detection for Athletes

Jin CAO1(), Bo-Tian CHEN2   

  1. 1.Xiamen University Tan Kah Kee College,Zhangzhou 363123,China
    2.College of Chemistry,Xiamen University,Xiamen 361005,China
  • Received:2025-04-24 Accepted:2025-08-06 Published:2025-09-01 Online:2025-09-28
  • Contact: Jin CAO
  • About author:keijl8@sina.com

摘要:

以海藻为前驱体,铁盐为石墨化催化剂,通过热解法制备铁掺杂碳纳米片(Fe-BC),并将其修饰在丝网印刷电极(SPE)上构建新型非酶电化学传感器Fe-BC/SPE,用于运动员尿酸(UA)的检测。 在该传感器中,Fe-BC纳米片作为活性层修饰在柔性SPE的表面,不需要额外修饰生物酶即可催化尿酸分解。 本文利用差分脉冲伏安法(DPV)和循环伏安法(CV)对电化学传感器Fe-BC/SPE进行电化学表征和性能测试。 研究结果表明: 该传感器的线性检测范围为0.5~6.73 μmol/L,灵敏度为 0.1342 μA/(μmol·cm2)。 Fe-BC纳米片对UA具有较好的催化活性,所构建的新型电化学传感器可实现对运动员UA的快速、高灵敏检测。

关键词: 生物质碳, 电化学传感器, 尿酸, 高灵敏检测

Abstract:

Using seaweed as the precursor and iron salt as the graphitization catalyst, iron-doped carbon nanosheets (Fe-BC) were prepared via pyrolysis and modified onto a screen-printed electrode (SPE) to construct a novel non-enzymatic electrochemical sensor, Fe-BC/SPE, for the detection of uric acid (UA) in athletes. In this sensor, Fe-BC nanosheets serve as the active layer modified onto the surface of a flexible SPE, catalyzing the decomposition of UA without the need for additional enzyme modification. This paper utilizes differential pulse voltammetry (DPV) and cyclic voltammetry (CV) for the electrochemical characterization and performance testing of the electrochemical sensor Fe-BC/SPE. The research results indicate that the sensor exhibits a linear detection range of 0.5~6.73 μmol/L and a sensitivity of 0.1342 μA/(μmol·cm2). Fe-BC nanosheets demonstrate good catalytic activity towards UA, and the constructed novel electrochemical sensor can achieve rapid and highly sensitive detection of UA in athletes.

Key words: Biomass carbon, Electrochemical sensors, Uric acid, High sensitivity detection

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