Waste-to-sensor: high-sensitivity detection of heavy metals in water using Arc-ferrite/N-rGO nanocomposites from industrial and electronic waste

IF 11 1区 工程技术 Q1 ENGINEERING, CHEMICAL
Aly Reda, Norhan Badr Eldin, Shahdan Abdelkareem, Nada M. Ali, Tamer Shoeib
{"title":"Waste-to-sensor: high-sensitivity detection of heavy metals in water using Arc-ferrite/N-rGO nanocomposites from industrial and electronic waste","authors":"Aly Reda, Norhan Badr Eldin, Shahdan Abdelkareem, Nada M. Ali, Tamer Shoeib","doi":"10.1038/s41545-026-00567-6","DOIUrl":null,"url":null,"abstract":"The escalating global crises of hazardous waste accumulation and heavy metal contamination demand innovative solutions that simultaneously address environmental remediation and analytical sensing needs. This study presents a sustainable electrochemical platform fabricated from industrial and electronic waste streams for the high-performance detection of notorious heavy metals. Herein, we repurposed arc furnace dust into ferrite nanoparticles and converted spent battery graphite into highly conductive nitrogen-doped reduced graphene oxide (N-rGO) through controlled synthesis processes. The resulting Arc-ferrite/N-rGO nanocomposite was integrated into a carbon paste electrode, demonstrating exceptional electrochemical performance with a 3.5-fold increase in faradaic current and significantly improved electron transfer kinetics compared to bare electrodes. Through comprehensive optimization of differential pulse voltammetry parameters, the optimal conditions were established as follows: an acetate-KCl buffer (pH 4.5), a deposition potential of -1.1 V, a scan rate of 50 mV/s, and a 180 s accumulation time. The sensor achieved remarkable analytical performance for simultaneous detection of cadmium (II), lead (II), and mercury (II) with detection limits of 1.01 – 1.13 ppb, well below WHO guidelines for drinking water. Excellent linearity (R² > 0.995) across a 10.0 – 150.0 ppb concentration range and superior selectivity against a 100-fold excess of eleven common interfering cations demonstrated the sensor’s robustness for real-world applications. The sensor enabled the simultaneous detection of Pb²⁺, Cd²⁺, and Hg²⁺ in industrial wastewater, with results cross-validated by microwave plasma atomic emission spectroscopy. This work establishes a powerful circular economy paradigm, transforming environmental liabilities into valuable analytical assets while addressing the dual challenges of waste management and environmental monitoring. The Arc-ferrite/N-rGO sensor represents a scalable, economically viable, and environmentally responsible solution for next-generation heavy metal detection systems.","PeriodicalId":19375,"journal":{"name":"npj Clean Water","volume":"27 1","pages":""},"PeriodicalIF":11.0000,"publicationDate":"2026-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"npj Clean Water","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1038/s41545-026-00567-6","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
引用次数: 0

Abstract

The escalating global crises of hazardous waste accumulation and heavy metal contamination demand innovative solutions that simultaneously address environmental remediation and analytical sensing needs. This study presents a sustainable electrochemical platform fabricated from industrial and electronic waste streams for the high-performance detection of notorious heavy metals. Herein, we repurposed arc furnace dust into ferrite nanoparticles and converted spent battery graphite into highly conductive nitrogen-doped reduced graphene oxide (N-rGO) through controlled synthesis processes. The resulting Arc-ferrite/N-rGO nanocomposite was integrated into a carbon paste electrode, demonstrating exceptional electrochemical performance with a 3.5-fold increase in faradaic current and significantly improved electron transfer kinetics compared to bare electrodes. Through comprehensive optimization of differential pulse voltammetry parameters, the optimal conditions were established as follows: an acetate-KCl buffer (pH 4.5), a deposition potential of -1.1 V, a scan rate of 50 mV/s, and a 180 s accumulation time. The sensor achieved remarkable analytical performance for simultaneous detection of cadmium (II), lead (II), and mercury (II) with detection limits of 1.01 – 1.13 ppb, well below WHO guidelines for drinking water. Excellent linearity (R² > 0.995) across a 10.0 – 150.0 ppb concentration range and superior selectivity against a 100-fold excess of eleven common interfering cations demonstrated the sensor’s robustness for real-world applications. The sensor enabled the simultaneous detection of Pb²⁺, Cd²⁺, and Hg²⁺ in industrial wastewater, with results cross-validated by microwave plasma atomic emission spectroscopy. This work establishes a powerful circular economy paradigm, transforming environmental liabilities into valuable analytical assets while addressing the dual challenges of waste management and environmental monitoring. The Arc-ferrite/N-rGO sensor represents a scalable, economically viable, and environmentally responsible solution for next-generation heavy metal detection systems.

Abstract Image

废物到传感器:利用工业和电子废物中的电弧铁氧体/ n -还原氧化石墨烯纳米复合材料对水中重金属进行高灵敏度检测
危险废物积累和重金属污染的全球危机不断升级,需要创新的解决方案,同时解决环境补救和分析传感需求。本研究提出了一种由工业和电子废物流制成的可持续电化学平台,用于高性能检测臭名昭著的重金属。在此,我们将电弧炉粉尘转化为铁氧体纳米颗粒,并通过控制合成工艺将废电池石墨转化为高导电性的氮掺杂还原氧化石墨烯(N-rGO)。所得到的电弧铁氧体/ n -还原氧化石墨烯纳米复合材料被集成到碳糊电极中,与裸电极相比,法拉第电流增加3.5倍,电子传递动力学显著改善,表现出优异的电化学性能。通过对差分脉冲伏安法参数的综合优化,确定了最佳条件:醋酸盐-氯化钾缓冲液(pH为4.5),沉积电位为-1.1 V,扫描速率为50 mV/s,积累时间为180 s。该传感器在同时检测镉(II)、铅(II)和汞(II)方面取得了卓越的分析性能,检出限为1.01 - 1.13 ppb,远低于世卫组织饮用水指南。在10.0 - 150.0 ppb浓度范围内具有良好的线性度(R²> 0.995),对11种常见干扰阳离子的100倍以上具有优越的选择性,证明了该传感器在实际应用中的鲁棒性。该传感器能够同时检测工业废水中的Pb 2 +、Cd 2 +和Hg 2 +,并通过微波等离子体原子发射光谱对结果进行了交叉验证。这项工作建立了一个强大的循环经济范例,将环境负债转化为有价值的分析资产,同时解决了废物管理和环境监测的双重挑战。arc -铁氧体/N-rGO传感器代表了下一代重金属检测系统的可扩展、经济可行和环保的解决方案。
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
npj Clean Water
npj Clean Water Environmental Science-Water Science and Technology
CiteScore
15.30
自引率
2.60%
发文量
61
审稿时长
5 weeks
期刊介绍: npj Clean Water publishes high-quality papers that report cutting-edge science, technology, applications, policies, and societal issues contributing to a more sustainable supply of clean water. The journal's publications may also support and accelerate the achievement of Sustainable Development Goal 6, which focuses on clean water and sanitation.
×
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:604180095
Book学术官方微信
小红书