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基于氧化锌-多壁碳纳米管混合纳米复合材料的尿素生物传感器。

Zinc oxide-multiwalled carbon nanotubes hybrid nanocomposite based urea biosensor.

作者信息

Tak Manvi, Gupta Vinay, Tomar Monika

机构信息

Department of Physics and Astrophysics, University of Delhi, Delhi 110007, India.

出版信息

J Mater Chem B. 2013 Dec 14;1(46):6392-6401. doi: 10.1039/c3tb20935k. Epub 2013 Oct 23.

Abstract

An efficient matrix comprising a hybrid nanocomposite of zinc oxide (ZnO) and multiwalled carbon nanotubes (MWCNTs) has been synthesised on indium tin oxide coated glass slides (ITO/Glass) using a chemical route deposition technique for the realization of an efficient urea biosensor. Urease (Urs) was used as the specific enzyme for urea detection and was physically immobilized over the surface of the hybrid nanocomposite matrix based (ZnO-MWCNT/ITO) electrode. The fabricated Urs/ZnO-MWCNT/ITO bioelectrode was characterized using electrochemical impedance spectroscopy (EIS) and cyclic voltammetric (CV) techniques. The nanocomposite based bioelectrode i.e. Urs/ZnO-MWCNT/ITO exhibits enhanced biosensing response characteristics as compared to that of the bare ZnO based (Urs/ZnO/ITO) bioelectrode. The prepared bioelectrode (Urs/ZnO-MWCNT/ITO) exhibits a very high sensitivity of about 43.02 μA mM cm and a long shelf-life of more than 4 months (>16 weeks). The low Michaelis-Menten parameter (K) value, only 0.85 mM, indicates high affinity of the immobilized urease on the surface of hybrid nanocomposite matrix towards its analyte (urea). The obtained results in the present study are encouraging and will pave the way towards the realization of an efficient urea biosensor.

摘要

采用化学路线沉积技术,在氧化铟锡涂层载玻片(ITO/玻璃)上合成了一种由氧化锌(ZnO)和多壁碳纳米管(MWCNT)组成的混合纳米复合材料高效基质,用于实现高效尿素生物传感器。脲酶(Urs)用作尿素检测的特异性酶,并物理固定在基于混合纳米复合材料基质(ZnO-MWCNT/ITO)的电极表面。使用电化学阻抗谱(EIS)和循环伏安法(CV)技术对制备的Urs/ZnO-MWCNT/ITO生物电极进行了表征。与基于裸ZnO的(Urs/ZnO/ITO)生物电极相比,基于纳米复合材料的生物电极即Urs/ZnO-MWCNT/ITO表现出增强的生物传感响应特性。制备的生物电极(Urs/ZnO-MWCNT/ITO)表现出约43.02 μA mM cm的非常高的灵敏度和超过4个月(>16周)的长保质期。低米氏常数(K)值仅为0.85 mM,表明固定在混合纳米复合材料基质表面的脲酶对其分析物(尿素)具有高亲和力。本研究获得的结果令人鼓舞,并将为实现高效尿素生物传感器铺平道路。

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