4.7 Article

Electrochemical glucose biosensor with improved performance based on the use of glucose oxidase and Prussian Blue incorporated into a thin film of self-polymerized dopamine

期刊

SENSORS AND ACTUATORS B-CHEMICAL
卷 210, 期 -, 页码 513-518

出版社

ELSEVIER SCIENCE SA
DOI: 10.1016/j.snb.2014.12.107

关键词

Self-polymerized dopamine; Prussian Blue; Stability; Enzyme immobilization

资金

  1. National Natural Science Foundation of China [21375088]
  2. Scientific Research Project of Beijing Educational Committee [KM201410028006]
  3. Youth Talent Project of the Beijing Municipal Commission of Education [CITTCD201504072]
  4. Scientific Research Base Development Program of the Beijing Municipal Commission of Education
  5. Program of Scientific Research Foundation for the Returned Overseas Chinese Scholars of Beijing Municipality

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We report on the use of self-polymerized dopamine (PDA) in an enzyme-based biosensor with improved performance. This is due to the fact that poly-DA strongly improves the stability of the electrocatalyst Prussian Blue (PB) in neutral and alkaline solution. The polymer also effectively entraps the enzyme glucose oxidase (GOx) while retaining its activity. A glucose biosensor was fabricated by modifying a glassy carbon electrode with a thin film of PB into which GOx was incorporated with the assistance of PDA film. The PB films enable a facile electrochemical reduction, and thus the determination, of enzymatically generated H2O2 at a remarkably low potential of 0.0 V (versus Ag/AgCl). The biosensor responds linearly to glucose in the 200 mu M to 3.4 mM concentration range, with a sensitivity of 1.59 nA mu M-1, a 46.2 mu M detection limit, a response time of 15 s, and with storage stabilities of 3 months at 48 degrees C and of >4 weeks at room temperature. The biosensor is highly selective over many other electroactive species, reproducible, and stable even at weakly alkaline pH values. The stabilized PB films by PDA will widen horizons of its applications both as H2O2 sensor and for elaboration of the oxidase-based biosensors in physiological environment.

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