Turn off MathJax
Article Contents
XIA Haiyan, Li Jianan, XU Jianghong, et al. Glucose Sensor Based On Co-MOFs-modified Commercial Strip Electrodes[J]. Acta Materiae Compositae Sinica.
Citation: XIA Haiyan, Li Jianan, XU Jianghong, et al. Glucose Sensor Based On Co-MOFs-modified Commercial Strip Electrodes[J]. Acta Materiae Compositae Sinica.

Glucose Sensor Based On Co-MOFs-modified Commercial Strip Electrodes

Funds:  Scientific Research Start-up Fund of Hexi University (No.KYQD2022006); Zhanjiang Science and Technology Project (No.2023B01001)
  • Received Date: 2024-01-05
  • Accepted Date: 2024-03-11
  • Rev Recd Date: 2024-01-22
  • Available Online: 2024-03-29
  • The oxidase catalyst in glucose sensors can be easily affected by temperature, humidity, PH. As a result, developing some catalysts with low cost and high sensitivity has a broad application prospect. Metal-organic Frameworks (MOFs) have attracted much attention because of their high mass transfer rate, adjustable porosity and strong electron transfer ability. The screen-printing technique has been used to fabricate commercial electrodes due to its low cost and batch preparation. Here, Co-MOFs were successfully synthesized by a simple and economical method at room temperature and coated on commercial strip silver-carbon electrode by screen-printing technique. As a biosensor catalyst, Co-MOFs nanomaterials exhibit high electrocatalytic activity for glucose. The results showed that the sensitivity of Co-MOFs-based strip electrode for glucose detection was 1393 nA·L/(mmol·cm2). The detection limit was 0.58 μmol/L (S/N = 3) and the linear range was 0.1-0.5 mmol/L. This work has certain guiding significance for the design of multi-function electrode in glucose sensor.

     

  • loading
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (60) PDF downloads(3) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return