Immobilization of horseradish peroxidase on chitosan/silica sol–gel hybrid membranes for the preparation of hydrogen peroxide biosensor

Wenjuan Li, Ruo Yuan, Yaqin Chai, Lu Zhou, Shihong Chen, Na Li
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引用次数: 93

Abstract

A simple and effective strategy for fabrication of hydrogen peroxide (H2O2) biosensor has been developed by entrapping horseradish peroxidase (HRP) in chitosan/silica sol–gel hybrid membranes (CSHMs) doped with potassium ferricyanide (K3Fe(CN)6) and gold nanoparticles (GNPs) on platinum electrode surface. The hybrid membranes are prepared by cross-linking chitosan (CS) with 3-aminopropyltriethoxysilane (APTES), while the presence of GNPs improved the conductivity of CSHMs, and the Fe(CN)63−/4− was used as a mediator to transfer electrons between the electrode and HRP due to its excellent electrochemistry activity. UV–Vis absorption spectroscopy was employed to characterize the different components in the CSHMs and their interaction. The parameters influencing the performance of the resulting biosensor were optimized and the characteristic of the resulting biosensor was characterized by cyclic voltammetry and chronoamperometry. Linear calibration for hydrogen peroxide was obtained in the range of 3.5 × 10 6 to 1.4 × 10 3 M under the optimized conditions with the detection limit (S/N = 3) of 8.0 × 10 7 M. The apparent Michaelis–Menten constant of the enzyme electrode was 0.93 mM. The enzyme electrode retained about 78% of its response sensitivity after 30 days. The system was applied for the determination of the samples, and the results obtained were satisfactory.

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壳聚糖/硅溶胶-凝胶杂化膜固定化辣根过氧化物酶制备过氧化氢生物传感器
研究了一种简单有效的制备过氧化氢(H2O2)生物传感器的方法,将辣根过氧化物酶(HRP)包埋在铂电极表面掺杂铁氰化钾(K3Fe(CN)6)和金纳米粒子(GNPs)的壳聚糖/硅溶胶-凝胶杂化膜(CSHMs)中。壳聚糖(CS)与3-氨基丙基三乙氧基硅烷(APTES)交联制备了杂化膜,而GNPs的存在提高了CSHMs的导电性,并且Fe(CN)63−/4−由于其优异的电化学活性而被用作电极和HRP之间传递电子的介质。采用紫外-可见吸收光谱法对CSHMs中不同成分及其相互作用进行了表征。对影响传感器性能的参数进行了优化,并用循环伏安法和计时电流法对传感器的性能进行了表征。在优化条件下,过氧化氢在3.5 × 10−6 ~ 1.4 × 10−3 M范围内线性定标,检出限(S/N = 3)为8.0 × 10−7 M,酶电极的表观Michaelis-Menten常数为0.93 mM, 30 d后酶电极的响应灵敏度保持在78%左右。将该系统应用于样品的测定,结果令人满意。
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