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金纳米颗粒复合纳米纤维用于酶电化学传感过氧化氢。

Gold nanoparticle-composite nanofibers for enzymatic electrochemical sensing of hydrogen peroxide.

机构信息

WCU Department of Energy Engineering, Hanyang University, Seoul 133-791, Republic of Korea.

出版信息

Analyst. 2013 Sep 7;138(17):5025-30. doi: 10.1039/c3an00317e. Epub 2013 Jul 3.

DOI:10.1039/c3an00317e
PMID:23820982
Abstract

Robust composite nanofibers (NFs) are prerequisite for highly efficient electrochemical sensors. We report the electrochemical application of gold nanoparticle (Au NP)-composite Nafion NFs using a facile electrospinning technique. Owing to the uniform distribution and large surface area of the Au NPs in the NFs, the Au NP-composite electrodes gave rise to greatly improved electrochemical properties, compared to AuNP-free composite electrodes. When they were employed as reservoirs for immobilizing horseradish peroxidase (HRP), reliable and sensitive electrochemical detection by the enzyme reaction was achieved. The detection sensitivity for H2O2 was determined to be as low as 38 nM, which was one order higher than that of previous electrochemical sensors. In addition, there was no change in the enzyme stability over three weeks. In this regard, the developed NP/NF-based electrochemical sensors are anticipated to be very suitable for monitoring other enzyme reactions with high sensitivity and stability.

摘要

稳健的复合纳米纤维 (NFs) 是高效电化学传感器的必备条件。我们报告了使用简便的静电纺丝技术将金纳米粒子 (Au NP) - 复合 Nafion NFs 用于电化学应用。由于 Au NPs 在 NFs 中的均匀分布和大表面积,与不含 AuNP 的复合电极相比,Au NP 复合电极产生了大大改善的电化学性能。当它们被用作固定辣根过氧化物酶 (HRP) 的储库时,通过酶反应实现了可靠和灵敏的电化学检测。H2O2 的检测灵敏度低至 38 nM,比以前的电化学传感器高一个数量级。此外,在三周内,酶的稳定性没有变化。在这方面,开发的基于 NP/NF 的电化学传感器有望非常适合以高灵敏度和稳定性监测其他酶反应。

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Gold nanoparticle-composite nanofibers for enzymatic electrochemical sensing of hydrogen peroxide.金纳米颗粒复合纳米纤维用于酶电化学传感过氧化氢。
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Horseradish peroxidase immobilized on poly(thiophene-2-aminophenol-3-thiopheneacetic acid) film electrode with Au nanoparticle-fabrication and evaluation as hydrogen peroxide sensor.辣根过氧化物酶固定在具有金纳米颗粒制备的聚(噻吩-2-氨基苯酚-3-噻吩乙酸)薄膜电极上,并作为过氧化氢传感器进行评估。
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