4.6 Article

Engineered CuO Nanofibers with Boosted Non-Enzymatic Glucose Sensing Performance

期刊

出版社

ELECTROCHEMICAL SOC INC
DOI: 10.1149/1945-7111/ac030d

关键词

Electroanalytical Electrochemistry; Sensors; Nanoscale materials

资金

  1. Department of Biotechnology (DBT), Government of India
  2. Department of Biotechnology, Government of India

向作者/读者索取更多资源

This study successfully prepared CuO nanofibers using a hydrothermal method, which were applied in the fabrication of non-enzymatic biosensors, achieving high sensitivity, low detection limit, wide linear detection range, as well as good stability and selectivity.
Developing biosensors with advanced nanomaterial is crucial to enhance the sensing performance of the as-fabricated biosensors. Herein, we engineered copper(II) oxide (CuO) nanofibers using a hydrothermal route in a four-neck flask. The structural and morphological properties of as-engineered CuO nanofibers were analysed using an X-ray diffractometer, field-emission scanning, and transmission electron microscopes. The results indicated, CuO nanofibers bear nanosized diameters and length is in the order of micrometers. These CuO nanofibers were utilized to fabricate non-enzymatic biosensors (Nafion/CuO nanofibers/GCE (glassy carbon electrode)) for enhanced glucose detection and the sensing performance of the biosensors were evaluated using cyclic voltammetry (CV) technique in sodium hydroxide buffer. Employing engineered CuO nanofibers as a non-enzymatic material led fabricated biosensor to achieve high sensitivity of 483.10 mu MmM(-1)cm(-2), with the lower detection limit (200 nM) and 0.10-10.85 mM linear detection range. Further, the fabricated biosensor showed good reproducibility, excellent selectivity, cyclic and long-time storage stabilities. This work presents a simple hydrothermal technique to prepare CuO nanofibers in large quantity, demonstrating cost-effective synthesis for non-enzymatic biosensor fabrications and many other applications.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据