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高等学校化学研究 ›› 2019, Vol. 35 ›› Issue (5): 767-774.doi: 10.1007/s40242-019-9130-5

• Articles • 上一篇    下一篇

Dual-modal Colorimetric and Fluorometric Method for Glucose Detection Using MnO2 Sheets and Carbon Quantum Dots

WANG Chengke1,2, TAN Rong1, LI Libo3, LIU Dong3   

  1. 1. College of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, P. R. China;
    2. Henan Key Laboratory of Biomolecular Recognition and Sensing, Shangqiu Normal University, Shangqiu 476000, P. R. China;
    3. School of Agricultural Equipment Engineering, Institute of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, P. R. China
  • 收稿日期:2019-05-08 出版日期:2019-10-01 发布日期:2019-09-24
  • 通讯作者: WANG Chengke E-mail:wangck@ujs.edu.cn
  • 基金资助:
    Supported by the National Natural Science Foundation of China(No.21305032), the Postdoctoral Science Foundation of China(Nos.2014M551522, 2018M632238), the Natural Science Foundation of Jiangsu Province, China(No.BK20160490), the Priority Academic Program Development(PAPD) of Jiangsu Higher Education Institutions, China and the Open Research Fund of Henan Key Laboratory of Biomolecular Recognition and Sensing, China(No.HKLBRSK1803).

Dual-modal Colorimetric and Fluorometric Method for Glucose Detection Using MnO2 Sheets and Carbon Quantum Dots

WANG Chengke1,2, TAN Rong1, LI Libo3, LIU Dong3   

  1. 1. College of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, P. R. China;
    2. Henan Key Laboratory of Biomolecular Recognition and Sensing, Shangqiu Normal University, Shangqiu 476000, P. R. China;
    3. School of Agricultural Equipment Engineering, Institute of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, P. R. China
  • Received:2019-05-08 Online:2019-10-01 Published:2019-09-24
  • Contact: WANG Chengke E-mail:wangck@ujs.edu.cn
  • Supported by:
    Supported by the National Natural Science Foundation of China(No.21305032), the Postdoctoral Science Foundation of China(Nos.2014M551522, 2018M632238), the Natural Science Foundation of Jiangsu Province, China(No.BK20160490), the Priority Academic Program Development(PAPD) of Jiangsu Higher Education Institutions, China and the Open Research Fund of Henan Key Laboratory of Biomolecular Recognition and Sensing, China(No.HKLBRSK1803).

摘要: A novel dual-modal fluorometric and colorimetric method was developed for glucose detection using MnO2 sheets and carbon quantum dots(CQDs). The glucose could be oxidized by glucose oxidase, in accompanied with the formation of H2O2 intermediate, which resulted in the decomposition of MnO2 sheets, as well as the MnO2 sheets(brown) changed to Mn2+ ions(colorless), which induced the absorption of MnO2 sheet decreased and the fluorescence of CQDs increased, consequently. The linear detection ranges of glucose are 5-1000 μmol/L by fluorescent method and 5-60 μmol/L by colorimetric method. The limits of detection of these two measurements are 2.11 and 2.18 μmol/L, respectively. This method is easy to conduct, has reasonable sensitive and selectivity, and could be applied for the glucose detection in real human serum.

关键词: MnO2, Carbon quantum dot, Colorimetric, Fluorescent, Dual-modal

Abstract: A novel dual-modal fluorometric and colorimetric method was developed for glucose detection using MnO2 sheets and carbon quantum dots(CQDs). The glucose could be oxidized by glucose oxidase, in accompanied with the formation of H2O2 intermediate, which resulted in the decomposition of MnO2 sheets, as well as the MnO2 sheets(brown) changed to Mn2+ ions(colorless), which induced the absorption of MnO2 sheet decreased and the fluorescence of CQDs increased, consequently. The linear detection ranges of glucose are 5-1000 μmol/L by fluorescent method and 5-60 μmol/L by colorimetric method. The limits of detection of these two measurements are 2.11 and 2.18 μmol/L, respectively. This method is easy to conduct, has reasonable sensitive and selectivity, and could be applied for the glucose detection in real human serum.

Key words: MnO2, Carbon quantum dot, Colorimetric, Fluorescent, Dual-modal