Suppr超能文献

一步合成用于检测呋喃它酮和温度的蓝色发射铜纳米团簇。

One-step synthesis of blue emission copper nanoclusters for the detection of furaltadone and temperature.

机构信息

Department of Chemistry, Taiyuan Normal University, Jinzhong 030619, China.

Chongqing Key Laboratory of Environmental Materials & Remediation Technologies, College of Chemistry and Environmental Engineering, Chongqing University of Arts and Sciences, Yongchuan 402160, China.

出版信息

Spectrochim Acta A Mol Biomol Spectrosc. 2022 Oct 15;279:121408. doi: 10.1016/j.saa.2022.121408. Epub 2022 May 20.

Abstract

Polyvinyl pyrrolidone (PVP), playing roles as a templating agent, can be applied to prepare blue-emitting copper nanoclusters (Cu NCs@PVP) on the basis of a rapid chemical reduction synthesis method. The Cu NCs@PVP displayed a blue emission wavelength at 430 nm and the corresponding quantum yield (QY) could reach 10.4%. Subsequently, the as-synthesized Cu NCs@PVP were used for the trace analysis of furaltadone based on the inner filter effect (IFE) between Cu NCs@PVP and furaltadone, which caused the fluorescence to be effectively quenched. Additionally, this proposed determination platform based on the Cu NCs@PVP for furaltadone sensing possessed an excellent linear range from 0.5 to 100 μM with a lower detection limit of 0.045 μM (S/N = 3). Meanwhile, the Cu NCs@PVP also could be applied for the sensing of temperature. Furthermore, the practicability of the sensing platform has been successfully verified by measuring furaltadone in real samples, affirming its potential to increase fields for the determination of furaltadone.

摘要

聚乙烯吡咯烷酮(PVP)作为模板剂,可应用于快速化学还原合成法制备蓝色发射铜纳米团簇(Cu NCs@PVP)。Cu NCs@PVP 发射出 430nm 的蓝色荧光,相应的量子产率(QY)可达 10.4%。随后,基于 Cu NCs@PVP 和呋喃它酮之间的内滤效应(IFE),将合成的 Cu NCs@PVP 用于呋喃它酮的痕量分析,使荧光有效猝灭。此外,基于 Cu NCs@PVP 的呋喃它酮传感测定平台具有从 0.5 到 100μM 的优异线性范围,检测限低至 0.045μM(S/N=3)。同时,Cu NCs@PVP 也可用于温度传感。此外,通过测量实际样品中的呋喃它酮,成功验证了传感平台的实用性,证实了其在呋喃它酮测定领域的应用潜力。

相似文献

1
One-step synthesis of blue emission copper nanoclusters for the detection of furaltadone and temperature.
Spectrochim Acta A Mol Biomol Spectrosc. 2022 Oct 15;279:121408. doi: 10.1016/j.saa.2022.121408. Epub 2022 May 20.
2
Blue-emitting tryptophan-protected gold nanoclusters acted as a sensitive nanosensor for fluorescence sensing and visual imaging detection of furaltadone.
Spectrochim Acta A Mol Biomol Spectrosc. 2024 Mar 5;308:123748. doi: 10.1016/j.saa.2023.123748. Epub 2023 Dec 10.
3
Novel luteolin sensor of tannic acid-stabilized copper nanoclusters with blue-emitting fluorescence.
Spectrochim Acta A Mol Biomol Spectrosc. 2021 Oct 5;259:119887. doi: 10.1016/j.saa.2021.119887. Epub 2021 Apr 30.
5
Novel synthesis of orange-red emitting copper nanoclusters stabilized by methionine as a fluorescent probe for norfloxacin sensing.
Spectrochim Acta A Mol Biomol Spectrosc. 2020 Aug 5;236:118334. doi: 10.1016/j.saa.2020.118334. Epub 2020 Apr 1.
6
Fluorescent folic acid-capped copper nanoclusters for the determination of rifampicin based on inner filter effect.
Spectrochim Acta A Mol Biomol Spectrosc. 2023 Feb 5;286:121944. doi: 10.1016/j.saa.2022.121944. Epub 2022 Oct 3.
7
Ratiometric fluorescent sensing of ethanol based on copper nanoclusters with tunable dual emission.
Talanta. 2021 Oct 1;233:122480. doi: 10.1016/j.talanta.2021.122480. Epub 2021 May 18.
8
A highly selective fluorescent sensor for chlortetracycline based on histidine-templated copper nanoclusters.
Spectrochim Acta A Mol Biomol Spectrosc. 2022 Nov 15;281:121588. doi: 10.1016/j.saa.2022.121588. Epub 2022 Jul 2.
9
Preparation of blue fluorescent copper nanoclusters for sensitive and selective sensing of apigenin in pharmaceutical samples.
Spectrochim Acta A Mol Biomol Spectrosc. 2023 Nov 5;300:122940. doi: 10.1016/j.saa.2023.122940. Epub 2023 May 29.
10
Selective determination of ellagic acid in aqueous solution using blue-green emissive copper nanoclusters.
Spectrochim Acta A Mol Biomol Spectrosc. 2023 Jul 5;295:122597. doi: 10.1016/j.saa.2023.122597. Epub 2023 Mar 10.

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