Suppr超能文献

用于水中铜(II)检测的硅基荧光平台。

Silicon-based fluorescent platforms for copper(ii) detection in water.

作者信息

Oggianu Mariangela, Figus Cristiana, Ashoka-Sahadevan Suchithra, Monni Noemi, Marongiu Daniela, Saba Michele, Mura Andrea, Bongiovanni Giovanni, Caltagirone Claudia, Lippolis Vito, Cannas Carla, Cadoni Enzo, Mercuri Maria Laura, Quochi Francesco

机构信息

Dipartimento di Scienze Chimiche e Geologiche, Università degli Studi di Cagliari, Complesso Universitario di Monserrato I-09042 Monserrato (CA) Italy

INSTM, Cagliari Unit Via Giuseppe Giusti, 9 I-50121 Firenze Italy.

出版信息

RSC Adv. 2021 Apr 26;11(26):15557-15564. doi: 10.1039/d1ra02695j.

Abstract

The potential of silicon-based fluorescent platforms for the detection of trace toxic metal ions was investigated in an aqueous environment. To this aim, silicon chips were first functionalized with amino groups, and fluorescein organic dyes, used as sensing molecules, were then covalently linked to the surface formation of thiourea groups. The obtained hybrid heterostructures exhibited high sensitivity and selectivity towards copper(ii), a limit of detection compatible with the recommended upper limits for copper in drinking water, and good reversibility using a standard metal-chelating agent. The fluorophore-analyte interaction mechanism at the basis of the reported fluorescence quenching, as well as the potential of performance improvement, were also studied. The herein presented sensing architecture allows, in principle, tailoring of the selectivity towards other metal ions by proper fluorophore selection, and provides a favorable outlook for integration of fluorescent chemosensors with silicon photonics technology.

摘要

在水性环境中研究了基于硅的荧光平台检测痕量有毒金属离子的潜力。为此,首先用氨基对硅芯片进行功能化,然后将用作传感分子的荧光素有机染料共价连接到表面形成硫脲基团。所获得的混合异质结构对铜(II)表现出高灵敏度和选择性,检测限与饮用水中铜的推荐上限兼容,并且使用标准金属螯合剂具有良好的可逆性。还研究了所报道的荧光猝灭基础上的荧光团 - 分析物相互作用机制以及性能改进的潜力。本文提出的传感架构原则上允许通过适当选择荧光团来定制对其他金属离子的选择性,并为将荧光化学传感器与硅光子技术集成提供了良好的前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cba0/9029085/41e100c6bca7/d1ra02695j-f1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验