Copper oxide nanostructure-based sensitive amperometric detection of sulfite from wastewater

IF 2.2 4区 化学 Q3 CHEMISTRY, MULTIDISCIPLINARY
Raj kumar, Aamna Balouch, Anand Parkash
{"title":"Copper oxide nanostructure-based sensitive amperometric detection of sulfite from wastewater","authors":"Raj kumar,&nbsp;Aamna Balouch,&nbsp;Anand Parkash","doi":"10.1007/s13738-024-03120-9","DOIUrl":null,"url":null,"abstract":"<div><p>In the current study, we synthesized copper oxide nanostructures (CuO NSs) via a facile hydrothermal procedure. We characterized them with the help of scanning electron microscopy (SEM) and X-ray diffractometry (XRD). SEM study revealed that CuO NSs inherited nanoneedles-based flowering geometry with a porous nature, while XRD proved the crystalline nature of these NSs. When deposited on a glassy carbon electrode (GCE), these nanostructures are displayed as a sensitive sulfite detection tool in the sample matrix. The results showed that sodium hydroxide, with pH 10.0, was the best-supporting electrolyte among all electrolytes studied. The as-prepared sulfite sensor performed well in a linear working range of 10–100 µM sulfite with the low detection limit (LOD) of the amperometry technique used to evaluate the analytical performance of the electrode, such as a limit of 1.12 µM. The developed sensor was highly stable and reproducible, showing a relative standard deviation of 2.17% for 10 cycles. The sensor also exhibited more selectivity for sulfite in the presence of probable interfering species, including cyanide, sulfate, chloride, and nitrate. The findings further proved the CuO/GCE-Nafion-based sensor as a sensitive diagnostic tool for quantifying or monitoring health-hazardous sulfite in the environmental sample matrices.</p></div>","PeriodicalId":676,"journal":{"name":"Journal of the Iranian Chemical Society","volume":"21 11","pages":"2863 - 2871"},"PeriodicalIF":2.2000,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Iranian Chemical Society","FirstCategoryId":"92","ListUrlMain":"https://link.springer.com/article/10.1007/s13738-024-03120-9","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

In the current study, we synthesized copper oxide nanostructures (CuO NSs) via a facile hydrothermal procedure. We characterized them with the help of scanning electron microscopy (SEM) and X-ray diffractometry (XRD). SEM study revealed that CuO NSs inherited nanoneedles-based flowering geometry with a porous nature, while XRD proved the crystalline nature of these NSs. When deposited on a glassy carbon electrode (GCE), these nanostructures are displayed as a sensitive sulfite detection tool in the sample matrix. The results showed that sodium hydroxide, with pH 10.0, was the best-supporting electrolyte among all electrolytes studied. The as-prepared sulfite sensor performed well in a linear working range of 10–100 µM sulfite with the low detection limit (LOD) of the amperometry technique used to evaluate the analytical performance of the electrode, such as a limit of 1.12 µM. The developed sensor was highly stable and reproducible, showing a relative standard deviation of 2.17% for 10 cycles. The sensor also exhibited more selectivity for sulfite in the presence of probable interfering species, including cyanide, sulfate, chloride, and nitrate. The findings further proved the CuO/GCE-Nafion-based sensor as a sensitive diagnostic tool for quantifying or monitoring health-hazardous sulfite in the environmental sample matrices.

基于纳米氧化铜结构的废水亚硫酸盐灵敏安培检测技术
在本研究中,我们通过简单的水热法合成了氧化铜纳米结构(CuO NSs)。我们利用扫描电子显微镜(SEM)和 X 射线衍射仪(XRD)对其进行了表征。扫描电子显微镜研究表明,CuO NSs 具有基于纳米针的多孔几何形状,而 X 射线衍射仪则证明了这些 NSs 的结晶性质。当这些纳米结构沉积在玻璃碳电极(GCE)上时,可作为样品基质中一种灵敏的亚硫酸盐检测工具。研究结果表明,pH 值为 10.0 的氢氧化钠是所研究的所有电解质中支持性最好的电解质。所制备的亚硫酸盐传感器在 10-100 µM 亚硫酸盐的线性工作范围内表现良好,在评估电极分析性能的安培计技术中,其检测限(LOD)较低,为 1.12 µM。所开发的传感器具有高度稳定性和可重复性,10 个循环的相对标准偏差为 2.17%。在氰化物、硫酸盐、氯化物和硝酸盐等可能的干扰物存在的情况下,该传感器对亚硫酸盐也表现出更高的选择性。研究结果进一步证明,基于 CuO/GCE-Nafion 的传感器是一种灵敏的诊断工具,可用于定量或监测环境样品基质中危害健康的亚硫酸盐。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
4.40
自引率
8.30%
发文量
230
审稿时长
5.6 months
期刊介绍: JICS is an international journal covering general fields of chemistry. JICS welcomes high quality original papers in English dealing with experimental, theoretical and applied research related to all branches of chemistry. These include the fields of analytical, inorganic, organic and physical chemistry as well as the chemical biology area. Review articles discussing specific areas of chemistry of current chemical or biological importance are also published. JICS ensures visibility of your research results to a worldwide audience in science. You are kindly invited to submit your manuscript to the Editor-in-Chief or Regional Editor. All contributions in the form of original papers or short communications will be peer reviewed and published free of charge after acceptance.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信