3D graphene/copper oxide nano-flowers based acetylcholinesterase biosensor for sensitive detection of organophosphate pesticides

3D graphene/copper oxide nano-flowers based acetylcholinesterase biosensor for sensitive detection of organophosphate pesticides
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DOI:
10.1016/j.snb.2018.09.118
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发表时间:
2019-01-15
影响因子:
8.4
通讯作者:
Hou, Changjun
Hou, Changjun
中科院分区:
化学1区
文献类型:
--
作者:
Bao, Jing;Huang, Ting;Hou, Changjun

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本研究基于三维石墨烯-氧化铜纳米花复合材料(3d - cuo NFs)开发了一种高灵敏度的电化学乙酰胆碱酯酶(AChE, E.C.3.1.1.7)生物传感器,用于检测有机磷农药(OPs)。网状结构的3d - cuo纳米复合材料不仅增加了有效比表面积,而且为AChE的加载提供了良好的微环境,从而提高了生物传感器的性能。采用循环伏安法(CV)、电化学阻抗谱法(EIS)、安培法(i-t)和方波伏安法(SWV)对AChECS/ 3d - cuo NFs/GCE生物传感器的电化学性能进行了深入研究。在最佳检测条件下,arch - cs /3DG-CuO NFs/GCE生物传感器与马拉硫磷的线性关系在1 ~ 15.555 ppb (3 pM-46.665 nM)范围内。理论检出限为0.31 ppt (0.92 pM),具有良好的选择性和理想的稳定性。最重要的是,在实际样品分析中取得了令人满意的回收率,表明我们开发的生物传感器具有成为农药检测有效平台的巨大潜力。
In the present study, we developed a highly sensitivity electrochemical acetylcholinesterase (AChE, E.C.3.1.1.7) biosensor for organophosphorous pesticides (OPs) detection on the basis of three dimensional graphene-copper oxide nanoflowers nanocomposites (3DG-CuO NFs). The 3DG-CuO NFs nanocomposites with network-like structure not only increase the effective specific surface area, but also provide a favorable microenvironment for AChE loading, which could improve the biosensor performance. The electrochemical performance of the AChECS/3DG-CuO NFs/GCE biosensor was thoroughly investigated by cyclic voltammetry (CV), electrochemical impedance spectroscopy (EIS), amperometry (i-t) and square wave voltammetry (SWV). Under the optimal detection conditions, the AChE-CS/3DG-CuO NFs/GCE biosensor exhibits advantages such as a wide linear relationship to malathion ranging from 1 ppt to 15.555 ppb (3 pM-46.665 nM). The theoretical detection limit was calculated to be 0.31 ppt (0.92 pM) with good selectivity and ideal stability. Most importantly, satisfactory recoveries were achieved in real samples analysis, indicating that our developed biosensor has great potential to be an effective platform for pesticides detection.