Selective and stable visible-light-prompted scavenger-free photoelectrochemical strategy based on a ternary ErVO4/P@g-C3N4/SnS2 nanocomposite for the detection of lead ions in different water samples.

IF 7.6 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Abishek Jayapaul, Sanjay Ballur Prasanna, Lu-Yin Lin, Yeh-Fang Duann, Yu-Chien Lin, Ren-Jei Chung
{"title":"Selective and stable visible-light-prompted scavenger-free photoelectrochemical strategy based on a ternary ErVO<sub>4</sub>/P@g-C<sub>3</sub>N<sub>4</sub>/SnS<sub>2</sub> nanocomposite for the detection of lead ions in different water samples.","authors":"Abishek Jayapaul, Sanjay Ballur Prasanna, Lu-Yin Lin, Yeh-Fang Duann, Yu-Chien Lin, Ren-Jei Chung","doi":"10.1016/j.envpol.2024.124892","DOIUrl":null,"url":null,"abstract":"<p><p>Lead ions (Pb<sup>2+</sup>) are heavy metal environmental pollutants that can significantly impact biological health. In this study, the synthesis of a ternary nanocomposite, ErVO<sub>4</sub>/P@g-C<sub>3</sub>N<sub>4</sub>/SnS<sub>2</sub>, was achieved using a combination of hydrothermal synthesis and mechanical grinding. The as-fabricated photoelectrochemical (PEC) sensor was found to be an ideal substrate for Pb<sup>2+</sup> detection with high sensitivity and reliability. The ErVO<sub>4</sub>/P@g-C<sub>3</sub>N<sub>4</sub>/SnS<sub>2</sub>/FTO was selected as the substrate because of its remarkable and reliable photocurrent response. The Pb<sup>2+</sup> sensor exhibited a low detection limit of 0.1 pM and a broad linear range of 0.002 to 0.2 nM. Moreover, the sensor exhibited outstanding stability, selectivity, and reproducibility. In real-time applications, it exhibited stable recovery and a low relative standard deviation, ensuring reliable and accurate measurements. The as-prepared PEC sensor was highly stable for the detection of Pb<sup>2+</sup> in different water samples. This promising characteristic highlights its significant potential for use in the detection of environmental pollutants.</p>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":null,"pages":null},"PeriodicalIF":7.6000,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Pollution","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1016/j.envpol.2024.124892","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Lead ions (Pb2+) are heavy metal environmental pollutants that can significantly impact biological health. In this study, the synthesis of a ternary nanocomposite, ErVO4/P@g-C3N4/SnS2, was achieved using a combination of hydrothermal synthesis and mechanical grinding. The as-fabricated photoelectrochemical (PEC) sensor was found to be an ideal substrate for Pb2+ detection with high sensitivity and reliability. The ErVO4/P@g-C3N4/SnS2/FTO was selected as the substrate because of its remarkable and reliable photocurrent response. The Pb2+ sensor exhibited a low detection limit of 0.1 pM and a broad linear range of 0.002 to 0.2 nM. Moreover, the sensor exhibited outstanding stability, selectivity, and reproducibility. In real-time applications, it exhibited stable recovery and a low relative standard deviation, ensuring reliable and accurate measurements. The as-prepared PEC sensor was highly stable for the detection of Pb2+ in different water samples. This promising characteristic highlights its significant potential for use in the detection of environmental pollutants.

基于三元 ErVO4/P@g-C3N4/SnS2 纳米复合材料的选择性和稳定性可见光催化无清除剂光电化学策略,用于检测不同水样中的铅离子。
铅离子(Pb2+)是重金属环境污染物,会严重影响生物健康。本研究采用水热合成和机械研磨相结合的方法合成了一种三元纳米复合材料 ErVO4/P@g-C3N4/SnS2。研究发现,制备的光电化学(PEC)传感器是一种理想的 Pb2+ 检测基底,具有很高的灵敏度和可靠性。之所以选择 ErVO4/P@g-C3N4/SnS2/FTO 作为基底,是因为它具有显著可靠的光电流响应。Pb2+ 传感器的检测限低至 0.1 pM,线性范围宽至 0.002 至 0.2 nM。此外,该传感器还具有出色的稳定性、选择性和再现性。在实时应用中,它表现出稳定的回收率和较低的相对标准偏差,确保了测量的可靠性和准确性。制备的 PEC 传感器在检测不同水样中的 Pb2+ 时非常稳定。这一良好特性凸显了其在环境污染物检测方面的巨大应用潜力。
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
Environmental Pollution
Environmental Pollution 环境科学-环境科学
CiteScore
16.00
自引率
6.70%
发文量
2082
审稿时长
2.9 months
期刊介绍: Environmental Pollution is an international peer-reviewed journal that publishes high-quality research papers and review articles covering all aspects of environmental pollution and its impacts on ecosystems and human health. Subject areas include, but are not limited to: • Sources and occurrences of pollutants that are clearly defined and measured in environmental compartments, food and food-related items, and human bodies; • Interlinks between contaminant exposure and biological, ecological, and human health effects, including those of climate change; • Contaminants of emerging concerns (including but not limited to antibiotic resistant microorganisms or genes, microplastics/nanoplastics, electronic wastes, light, and noise) and/or their biological, ecological, or human health effects; • Laboratory and field studies on the remediation/mitigation of environmental pollution via new techniques and with clear links to biological, ecological, or human health effects; • Modeling of pollution processes, patterns, or trends that is of clear environmental and/or human health interest; • New techniques that measure and examine environmental occurrences, transport, behavior, and effects of pollutants within the environment or the laboratory, provided that they can be clearly used to address problems within regional or global environmental compartments.
文献相关原料
公司名称 产品信息 采购帮参考价格
×
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