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用于水中四环素高灵敏检测的铕掺杂碳点(Eu-CDs)激发波长优化

Excitation Wavelength Optimization of Europium-Doped Carbon Dots (Eu-CDs) for Highly Sensitive Detection of Tetracyclines in Water.

作者信息

Babenova Aigerim, Zhumanova Kamila, Zhussupbekova Ainur, Zhussupbekov Kuanysh, Tosi Daniele, Atabaev Timur Sh

机构信息

Department of Chemistry, Nazarbayev University, Astana 010000, Kazakhstan.

School of Physics and School of Chemistry, Trinity College Dublin, Dublin 2, Ireland.

出版信息

ACS Omega. 2024 Dec 22;10(1):619-626. doi: 10.1021/acsomega.4c07414. eCollection 2025 Jan 14.

Abstract

Antibiotic contamination of water bodies has become a serious problem, which leads to aquatic life pollution and the development of antibiotic resistance. Hence, development of highly sensitive and selective optical sensors for antibiotic detection is at the forefront of scientific research. In this study, we present the synthesis of europium-doped carbon dots (Eu-CDs) and excitation wavelength optimization for the highly sensitive detection of tetracycline (TC) and TC-family antibiotics in water. An extensive physicochemical analysis and excitation wavelength optimization reveal that Eu-CDs can yield an exceptionally high limit of detection of TC at ∼5.8 nM over a linear range of 0.01-3 μM. Selectivity analysis with other common antibiotics revealed that the produced Eu-CDs are highly sensitive to TC and TC-group antibiotics only. A plausible mechanism for excitation-dependent TC detection by Eu-CDs is proposed. We firmly believe that the prepared Eu-CDs can be potentially employed for quick and sensitive monitoring of TC-family antibiotics in water samples.

摘要

水体中的抗生素污染已成为一个严重问题,这导致了水生生物污染以及抗生素耐药性的发展。因此,开发用于抗生素检测的高灵敏度和高选择性光学传感器处于科学研究的前沿。在本研究中,我们展示了铕掺杂碳点(Eu-CDs)的合成以及激发波长优化,用于高灵敏度检测水中的四环素(TC)和TC类抗生素。广泛的物理化学分析和激发波长优化表明,Eu-CDs在0.01 - 3 μM的线性范围内对TC的检测限极低,约为5.8 nM。与其他常见抗生素的选择性分析表明,所制备的Eu-CDs仅对TC和TC类抗生素高度敏感。提出了一种关于Eu-CDs对TC进行激发依赖性检测的合理机制。我们坚信,所制备的Eu-CDs可潜在地用于快速、灵敏地监测水样中的TC类抗生素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8996/11739937/c3543ab1be3f/ao4c07414_0001.jpg

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