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一种基于普鲁士蓝纳米颗粒修饰的丝网印刷电极检测芥子气的胆碱氧化酶安培生物测定法。

A choline oxidase amperometric bioassay for the detection of mustard agents based on screen-printed electrodes modified with Prussian Blue nanoparticles.

作者信息

Arduini Fabiana, Scognamiglio Viviana, Covaia Corrado, Amine Aziz, Moscone Danila, Palleschi Giuseppe

机构信息

Dipartimento di Scienze e Tecnologie Chimiche, Università di Roma Tor Vergata, Via Della Ricerca Scientifica, 00133 Rome, Italy.

Dipartimento Agroalimentare, IC-CNR Istituto di Cristallografia, Via Salaria Km 29.3, 00015 Monterotondo Scalo, Rome 00015, Italy.

出版信息

Sensors (Basel). 2015 Feb 13;15(2):4353-67. doi: 10.3390/s150204353.

Abstract

In this work a novel bioassay for mustard agent detection was proposed. The bioassay is based on the capability of these compounds to inhibit the enzyme choline oxidase. The enzymatic activity, which is correlated to the mustard agents, was electrochemically monitored measuring the enzymatic product, hydrogen peroxide, by means of a screen-printed electrode modified with Prussian Blue nanoparticles. Prussian Blue nanoparticles are able to electrocatalyse the hydrogen peroxide concentration reduction at low applied potential (-50 mV vs. Ag/AgCl), thus allowing the detection of the mustard agents with no electrochemical interferences. The suitability of this novel bioassay was tested with the nitrogen mustard simulant bis(2-chloroethyl)amine and the sulfur mustard simulants 2-chloroethyl ethyl sulfide and 2-chloroethyl phenyl sulfide. The bioassay proposed in this work allowed the detection of mustard agent simulants with good sensitivity and fast response, which are excellent premises for the development of a miniaturised sensor well suited for an alarm system in case of terrorist attacks.

摘要

在这项工作中,提出了一种用于检测芥子气的新型生物测定法。该生物测定法基于这些化合物抑制胆碱氧化酶的能力。与芥子气相关的酶活性通过用普鲁士蓝纳米颗粒修饰的丝网印刷电极,通过电化学监测酶产物过氧化氢来进行测定。普鲁士蓝纳米颗粒能够在低施加电位(相对于Ag/AgCl为-50 mV)下电催化过氧化氢浓度的降低,从而实现芥子气的检测且无电化学干扰。用氮芥模拟物双(2-氯乙基)胺以及硫芥模拟物2-氯乙基乙基硫醚和2-氯乙基苯基硫醚对这种新型生物测定法的适用性进行了测试。这项工作中提出的生物测定法能够以良好的灵敏度和快速响应检测芥子气模拟物,这是开发一种非常适合用于恐怖袭击警报系统的小型化传感器的绝佳前提条件。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/babc/4367415/a5a8f118fa83/sensors-15-04353f1.jpg

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