Fabrication and investigating of a nano-structured electrochemical sensor to measure the amount of atrazine pollution poison in water and wastewater

IF 2.218 Q2 Chemistry
Ghufran Lutfi Ismaeel , Shaymaa Abed Hussein , Gulrux Daminova , Jameel Mohammed Ameen Sulaiman , Mohaned Mohammed Hani , Eftikhaar Hasan Kadhum , Shahad Abdulhadi Khuder , Safaa Mustafa Hameed , Ahmed Read Al-Tameemi , Zaid H. Mahmoud , Ehsan Kianfar
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Abstract

In this article, a layer of nickel and cobalt salt is placed on the surface of a pure gold electrode, and in this way, the electrode is modified and finally a modified gold sensor is made, which is used to measure atrazine is used to remove the pollution poison in water and wastewater. This modified electrode is made at room temperature, which can be used at optimal pH = 9 stabilized by Britton-Robinson buffer and other chemical and device parameters. In this experiment, cyclic voltammetry techniques were used to study and investigate electrochemical reactions and SEM to study the structured of the electrode. The structured of this sensor is completely new and presented for the first time, and it is able to respond to very small amounts of these substances in the samples containing it. This electrode shows a linear behavior in the concentration of 100 nanomolar of atrazine poison. The detection limit of this electrode is 0.009 nM for atrazine. High signal to noise, wide linear range of response, high sensitivity and appropriate selectivity of this sensor will be its unique advantages.

用于测量水和废水中阿特拉津污染毒物含量的纳米结构电化学传感器的制作与研究
本文在纯金电极表面放置一层镍盐和钴盐,通过这种方法对电极进行改性,最终制成改性金传感器,用于测量阿特拉津,以去除水和废水中的污染毒物。这种改良电极是在室温下制成的,可在布列顿-罗宾逊缓冲液和其他化学及设备参数稳定的最佳 pH = 9 条件下使用。本实验采用了循环伏安技术来研究和调查电化学反应,并用扫描电镜来研究电极的结构。这种传感器的结构是全新的,也是首次提出,它能够对含有这些物质的样品中极少量的物质做出反应。在阿特拉津毒物浓度为 100 纳摩尔时,该电极显示出线性行为。该电极对阿特拉津的检测限为 0.009 nM。高信噪比、宽线性响应范围、高灵敏度和适当的选择性是该传感器的独特优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Chemical Data Collections
Chemical Data Collections Chemistry-Chemistry (all)
CiteScore
6.10
自引率
0.00%
发文量
169
审稿时长
24 days
期刊介绍: Chemical Data Collections (CDC) provides a publication outlet for the increasing need to make research material and data easy to share and re-use. Publication of research data with CDC will allow scientists to: -Make their data easy to find and access -Benefit from the fast publication process -Contribute to proper data citation and attribution -Publish their intermediate and null/negative results -Receive recognition for the work that does not fit traditional article format. The research data will be published as ''data articles'' that support fast and easy submission and quick peer-review processes. Data articles introduced by CDC are short self-contained publications about research materials and data. They must provide the scientific context of the described work and contain the following elements: a title, list of authors (plus affiliations), abstract, keywords, graphical abstract, metadata table, main text and at least three references. The journal welcomes submissions focusing on (but not limited to) the following categories of research output: spectral data, syntheses, crystallographic data, computational simulations, molecular dynamics and models, physicochemical data, etc.
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