结合荧光量子点和分子印迹聚合物筛选新兴和传统环境污染物:综述

IF 1.3 4区 化学 Q3 CHEMISTRY, MULTIDISCIPLINARY Journal of the Brazilian Chemical Society Pub Date : 2023-05-01 DOI:10.21577/0103-5053.20230015
S. Zeb, Javier E. L. Villa, Ademar Wong, Sabir Khan, S. Hussain, M. Sotomayor
{"title":"结合荧光量子点和分子印迹聚合物筛选新兴和传统环境污染物:综述","authors":"S. Zeb, Javier E. L. Villa, Ademar Wong, Sabir Khan, S. Hussain, M. Sotomayor","doi":"10.21577/0103-5053.20230015","DOIUrl":null,"url":null,"abstract":"Emerging and classical pollutants, such as antibiotics, pharmaceuticals, pesticides, dyes and heavy metals derived from human activity, currently pose serious threats to the environment and human health. Despite the grave danger posed by these pollutants, there is still no adequate monitoring of their presence in the environment. The regular determination of these contaminants in the environment can play a crucial role in the protection of human health and the preservation of ecosystems. New analytical techniques allow the reproducible quantification of analytes at very low concentration levels. Molecularly imprinted polymers (MIPs), with selective recognition, have also been combined with quantum dots (QDs) and suggested as valuable materials in the construction of optical sensors. Several strategies have been proposed for the selective detection of these pollutants in recent years. Rather than employing expensive, time-consuming standard analytical methods, fluorescent quantum dots coupled with molecularly imprinted polymers can be used for developing simple, rapid and highly selective analytical methods for the detection of these pollutants. This review presents a brief discussion on the application of tailor-made polymeric materials in tandem with quantum dots for the rational construction of efficient sensors capable of determining the presence of these pollutants in aquatic environments.","PeriodicalId":17257,"journal":{"name":"Journal of the Brazilian Chemical Society","volume":"1 1","pages":""},"PeriodicalIF":1.3000,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Combining Fluorescent Quantum Dots with Molecularly Imprinted Polymers for the Screening of both Emerging and Classical Environmental Pollutants: A Review\",\"authors\":\"S. Zeb, Javier E. L. Villa, Ademar Wong, Sabir Khan, S. Hussain, M. Sotomayor\",\"doi\":\"10.21577/0103-5053.20230015\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Emerging and classical pollutants, such as antibiotics, pharmaceuticals, pesticides, dyes and heavy metals derived from human activity, currently pose serious threats to the environment and human health. Despite the grave danger posed by these pollutants, there is still no adequate monitoring of their presence in the environment. The regular determination of these contaminants in the environment can play a crucial role in the protection of human health and the preservation of ecosystems. New analytical techniques allow the reproducible quantification of analytes at very low concentration levels. Molecularly imprinted polymers (MIPs), with selective recognition, have also been combined with quantum dots (QDs) and suggested as valuable materials in the construction of optical sensors. Several strategies have been proposed for the selective detection of these pollutants in recent years. Rather than employing expensive, time-consuming standard analytical methods, fluorescent quantum dots coupled with molecularly imprinted polymers can be used for developing simple, rapid and highly selective analytical methods for the detection of these pollutants. This review presents a brief discussion on the application of tailor-made polymeric materials in tandem with quantum dots for the rational construction of efficient sensors capable of determining the presence of these pollutants in aquatic environments.\",\"PeriodicalId\":17257,\"journal\":{\"name\":\"Journal of the Brazilian Chemical Society\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2023-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the Brazilian Chemical Society\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://doi.org/10.21577/0103-5053.20230015\",\"RegionNum\":4,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Brazilian Chemical Society","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.21577/0103-5053.20230015","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

摘要

抗生素、药品、农药、染料和源自人类活动的重金属等新兴污染物和传统污染物目前对环境和人类健康构成严重威胁。尽管这些污染物构成了严重的危险,但仍然没有对它们在环境中的存在进行充分的监测。定期确定环境中的这些污染物可在保护人类健康和保护生态系统方面发挥关键作用。新的分析技术可以在非常低的浓度水平下对分析物进行重复性定量。具有选择性识别的分子印迹聚合物(MIPs)也与量子点(QDs)相结合,被认为是构建光学传感器的有价值的材料。近年来提出了几种选择性检测这些污染物的策略。荧光量子点与分子印迹聚合物相结合,可用于开发简单、快速和高选择性的分析方法,而不是采用昂贵、耗时的标准分析方法。本文简要介绍了定制聚合物材料与量子点的应用,以合理构建能够确定这些污染物在水生环境中存在的高效传感器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Combining Fluorescent Quantum Dots with Molecularly Imprinted Polymers for the Screening of both Emerging and Classical Environmental Pollutants: A Review
Emerging and classical pollutants, such as antibiotics, pharmaceuticals, pesticides, dyes and heavy metals derived from human activity, currently pose serious threats to the environment and human health. Despite the grave danger posed by these pollutants, there is still no adequate monitoring of their presence in the environment. The regular determination of these contaminants in the environment can play a crucial role in the protection of human health and the preservation of ecosystems. New analytical techniques allow the reproducible quantification of analytes at very low concentration levels. Molecularly imprinted polymers (MIPs), with selective recognition, have also been combined with quantum dots (QDs) and suggested as valuable materials in the construction of optical sensors. Several strategies have been proposed for the selective detection of these pollutants in recent years. Rather than employing expensive, time-consuming standard analytical methods, fluorescent quantum dots coupled with molecularly imprinted polymers can be used for developing simple, rapid and highly selective analytical methods for the detection of these pollutants. This review presents a brief discussion on the application of tailor-made polymeric materials in tandem with quantum dots for the rational construction of efficient sensors capable of determining the presence of these pollutants in aquatic environments.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
2.90
自引率
7.10%
发文量
99
审稿时长
3.4 months
期刊介绍: The Journal of the Brazilian Chemical Society embraces all aspects of chemistry except education, philosophy and history of chemistry. It is a medium for reporting selected original and significant contributions to new chemical knowledge.
期刊最新文献
Quantitative GC-MS Analysis of Sawdust Bio-Oil A New Molecularly Imprinted Polymer for In-Tube SPME/UHPLC-MS/MS of Anandamide in Plasma Samples Evaluation of Extraction Parameters for the Analysis of Lipid Classes in Plants Polyvinyl Alcohol/Pectin-Based Hydrogel as Sorptive Phase for the Determination of Freely Dissolved Parabens in Urine Samples by LC-DAD Evaluation of Polymer Self-Coating on Aluminized Silica Support as Stationary Phase for High-Performance Liquid Chromatography
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1