Suppr超能文献

基于荧光金纳米簇的高选择性和超灵敏亚硝酸根检测。

Highly selective and ultrasensitive detection of nitrite based on fluorescent gold nanoclusters.

机构信息

State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210093, PR China.

出版信息

Talanta. 2013 Jan 30;104:135-9. doi: 10.1016/j.talanta.2012.11.020. Epub 2012 Nov 27.

Abstract

Near-infrared fluorescent gold nanoclusters (AuNCs) were prepared by sonochemical method and applied for the selective and sensitive detection of nitrite. The fluorescence of AuNCs could be selectively quenched by nitrite, and the mechanism was discussed in detail. The fluorescence intensity decreased linearly upon the increasing concentration of nitrite in a wide range of 2.0×10(-8) M to 5.0×10(-5) M. The detection limit was only 1.0 nM (S/N=3), which was much lower than the maximum admissible concentration of 2.2 μM required by the European Community. The proposed method was also applied for the determination of nitrite in real water samples. The present method exhibited excellent analytical performances, such as wide detection range, good selectivity, high sensitivity, and the applicability in neutral medium.

摘要

近红外荧光金纳米簇(AuNCs)通过超声化学法制备,并应用于亚硝酸根的选择性和灵敏检测。亚硝酸根能选择性地猝灭 AuNCs 的荧光,详细讨论了其机制。在 2.0×10(-8) M 至 5.0×10(-5) M 的很宽范围内,随着亚硝酸根浓度的增加,荧光强度呈线性降低。检测限仅为 1.0 nM(S/N=3),远低于欧洲共同体要求的 2.2 μM 最大允许浓度。该方法还应用于实际水样中亚硝酸根的测定。该方法具有检测范围宽、选择性好、灵敏度高、适用于中性介质等优点。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验