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Layered construction of nano immuno-hybrid embedded MOF as an electrochemical sensor for rapid quantification of total pesticides load in vegetable extract
Journal of Electroanalytical Chemistry ( IF 4.5 ) Pub Date : 2020-09-01 , DOI: 10.1016/j.jelechem.2020.114386
Chansi , Rashi Bhardwaj , R. Pragadeeshwara Rao , Irani Mukherjee , Pawan Kumar Agrawal , Tinku Basu , Lalit M. Bharadwaj

Abstract The present attempt reports a novel electrochemical immuno-sensor (BSA/Chi-AuNP-rIgG-BSA/MOF/ITO) based on the concatenation of polyclonal antibody (rIgG) based nano immuno-hybrid (Chi-AuNP-rIgG-BSA) with MOF modified ITO substrate (MOF/ITO) for the detection of a wide range of pesticides (pyrethroid, neonicotinoid, and organophosphates) with few exceptions (hexaconazole and profenofos). The primary layer for the screening of various pesticides by MOF-5 via structural porosity and polar functional groups is underpinned by the following layer of nano immuno-hybrid (Chi-AuNP-rIgG-BSA) for signal amplification. Molecular docking methods were used to give an insight of interactions between the rIgG in nano immuno-hybrid and the pesticides. The developed BSA/Chi-AuNP-rIgG-BSA/MOF/ITO platform can measure total pesticide load using cyclic voltammetry at 0.410 V in solution of [Fe (CN)6]3-/4- mediator in phosphate buffer saline within a linear range of 4 to 100 ngL-1(R2 = 0.92) and a sensitivity of (25.4 μAng-1Lcm-2) by a single calibration curve. Further, it has been tested for spiked as well as real (field) sample vegetable extract with minimum deviation (

中文翻译:

纳米免疫杂化嵌入 MOF 的分层构建作为电化学传感器,用于快速量化蔬菜提取物中的总农药负荷

摘要 本次尝试报告了一种基于多克隆抗体 (rIgG) 纳米免疫杂交 (Chi-AuNP-rIgG-BSA) 串联的新型电化学免疫传感器 (BSA/Chi-AuNP-rIgG-BSA/MOF/ITO)使用 MOF 修饰的 ITO 底物 (MOF/ITO) 检测除少数例外(六唑和丙非磷)外的多种农药(拟除虫菊酯、新烟碱和有机磷酸盐)。MOF-5 通过结构孔隙率和极性官能团筛选各种农药的初级层由用于信号放大的纳米免疫杂交 (Chi-AuNP-rIgG-BSA) 层支撑。分子对接方法用于深入了解纳米免疫杂交中的 rIgG 与农药之间的相互作用。开发的 BSA/Chi-AuNP-rIgG-BSA/MOF/ITO 平台可以使用循环伏安法在 0.410 V 下在 [Fe (CN)6]3-/4- 介质在磷酸盐缓冲盐水中的线​​性溶液中测量总农药负荷单条校准曲线的范围为 4 到 100 ngL-1(R2 = 0.92),灵敏度为 (25.4 μAng-1Lcm-2)。此外,它已针对加标以及真实(田间)样品蔬菜提取物进行了测试,偏差最小(
更新日期:2020-09-01
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