Superoxide Anion Biosensor Based on Bionic-Enzyme Hyperbranched Polyester Particles
Yanlian Niu A C , Sisheng Hu A B C , Qian Zhou A , Yang Liu A , Yuhong Liu A , Jing Zhao B , Mimi Wan A , Wenbo Zhao A D and Jian Shen A D
+ Author Affiliations
- Author Affiliations
A National and Local Joint Engineering Research Center of Biomedical Functional Materials, School of Chemistry and Materials Science, Nanjing Normal University, Nanjing 210023, China.
B State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210093, China.
C Y. Niu and S. Hu contributed equally to this work.
D Corresponding authors. Email: zhaowenbo@njnu.edu.cn; jshen@njnu.edu.cn.
Australian Journal of Chemistry 71(3) 119-126 https://doi.org/10.1071/CH17420
Submitted: 22 July 2017 Accepted: 26 October 2017 Published: 8 December 2017
Abstract
Self-assembly techniques have been demonstrated to be a useful approach to developing new functional nanomaterials. In this study, a novel method to fabricate a manganese phosphate self-assembly monolayer (SAM) on a hyperbranched polyester (HBPE-OH) nanoparticle surface is described. First, the second-generation aliphatic HBPE-OH was carboxy-terminated, phosphorylated, and then ionized with manganese by a three-step modification process. The final product of HBPE-AMPA-Mn2+ particles was obtained and characterised by FT-IR spectroscopy, 1H NMR spectroscopy, transmission electron microscopy (TEM), Zeta potential, and energy dispersive spectroscopy (EDS). Moreover, the HBPE-AMPA-Mn2+ particles were used to construct a novel biosensor for detection of superoxide anions (O2•−) released from HeLa cells. Results showed that the response currents of this biosensor were proportional to the O2•− concentration ranging from 0.79 to 16.6 μM, and provided an extremely low detection limit of 0.026 μM (S/N = 3). The results indicate that the particle-decorated electrode surface, which involved a hyperbranched structure and a surface self-assembly technology, proposed here will offer the ideal catalytic system for electrochemical enzymatic sensors.
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