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石墨烯-氧化锌纳米复合材料修饰玻碳电极在对硝基酚灵敏测定中的性能。

Performance of graphene-zinc oxide nanocomposite coated-glassy carbon electrode in the sensitive determination of para-nitrophenol.

机构信息

Department of Chemistry, Maharashtra College of Arts, Science and Commerce, Mumbai, 400008, India.

Department of Mathematics and Sciences, College of Arts and Applied Sciences, Dhofar University, PC 211, Salalah, Sultanate of Oman.

出版信息

Sci Rep. 2022 Jan 7;12(1):117. doi: 10.1038/s41598-021-03495-2.

Abstract

Graphene: zinc oxide nanocomposite (GN:ZnO NC) platform was tried for the sensitive determination of para-nitrophenol (p-NP) through the electrochemical method. ZnO nanoparticles (NPs) were synthesized by the modified wet-chemical method where in potassium hydroxide and zinc nitrate were used as precursors and starch as a stabilizing agent. A green and facile approach was applied to synthesize GN:ZnO NC in which glucose was employed as a reductant to reduce graphene-oxide to graphene in the presence of ZnO NPs. The synthesized NC was characterized using scanning and high-resolution transmission electron microscopy, energy dispersive x-ray analysis, X-ray diffraction and Raman spectroscopic techniques to examine the crystal phase, crystallinity, morphology, chemical composition and phase structure. GN:ZnO NC layer deposited over the glassy carbon electrode (GCE) was initially probed for its electrochemical performance using the standard 1 mM K[Fe(CN)] model complex. GN:ZnO NC modified GCE was monitored based on p-NP concentration. An enhanced current response was observed in 0.1 M phosphate buffer of pH 6.8 for the determination of p-NP in a linear working range of 0.09 × 10 to 21.80 × 10 M with a lower detection limit of 8.8 × 10 M employing square wave adsorptive stripping voltammetric technique at a deposition-potential and deposition-time of - 1.0 V and 300 s, respectively. This electrochemical sensor displayed very high specificity for p-NP with no observed interference from some other possible interfering substances such as 2, 4-di-NP, ortho-NP, and meta-NP. The developed strategy was useful for sensitive detection of p-NP quantity in canals/rivers and ground HO samples with good recoveries.

摘要

石墨烯-氧化锌纳米复合材料(GN:ZnO NC)平台通过电化学方法被尝试用于对对硝基苯酚(p-NP)的灵敏检测。氧化锌纳米粒子(NPs)通过改良的湿化学法合成,其中使用氢氧化钾和硝酸锌作为前体,淀粉作为稳定剂。采用绿色简便的方法合成 GN:ZnO NC,其中葡萄糖作为还原剂,在 ZnO NPs 的存在下将氧化石墨烯还原为石墨烯。使用扫描和高分辨率透射电子显微镜、能量色散 X 射线分析、X 射线衍射和拉曼光谱技术对合成的 NC 进行了表征,以检查晶体相、结晶度、形态、化学成分和相结构。将 GN:ZnO NC 层沉积在玻碳电极(GCE)上,首先使用标准的 1 mM K[Fe(CN)]模型复合物来探测其电化学性能。基于 p-NP 浓度监测 GN:ZnO NC 修饰的 GCE。在 pH 6.8 的 0.1 M 磷酸盐缓冲液中,观察到 p-NP 的测定具有增强的电流响应,线性工作范围为 0.09×10 到 21.80×10 M,检测限为 8.8×10 M,采用方波吸附溶出伏安法,沉积电位和沉积时间分别为-1.0 V 和 300 s。该电化学传感器对 p-NP 具有非常高的选择性,没有观察到来自其他一些可能的干扰物质如 2,4-二-NP、邻-NP 和间-NP 的干扰。所开发的策略对于运河/河流和地下水 HO 样品中 p-NP 含量的灵敏检测非常有用,具有良好的回收率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad2/8741969/088038d5c84e/41598_2021_3495_Sch1_HTML.jpg

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