化学
铕
污染物
硝基呋喃
金属有机骨架
荧光
金属
抗生素
人类健康
环境化学
有机化学
生物化学
环境卫生
吸附
离子
物理
生物
医学
量子力学
遗传学
作者
Yu Su,Yichen Guo,Qi Wu,Linxia Wang,Yifei Wang,Guo‐Ping Yang,Wen‐Yan Zhang,Yao‐Yu Wang
出处
期刊:Inorganic Chemistry
[American Chemical Society]
日期:2024-07-29
卷期号:63 (32): 15134-15143
被引量:17
标识
DOI:10.1021/acs.inorgchem.4c02232
摘要
Gossypol (Gsp) and antibiotics present in water bodies become organic pollutants that are harmful to human health and the ecological environment. Accurate and effective detection of these pollutants has far-reaching significance in many fields. A new three-dimensional metal-organic framework (MOF), {[Eu3(L)2(HCOO-)(H2O)3]·2H2O·2DMF}n (Eu-MOF), was synthesized from 3,5-bis(2,4-dicarboxylphenyl)nitrobenzene (H4L) ligand and Eu3+ via the solvothermal method in this paper. The Eu-MOF demonstrates strong red fluorescence and can remain stable in different pH solutions. The MOF fluorescence probe could detect organic pollutants through the "shut-off" effect, with a fast response speed and a low detection limit [Gsp, nitrofurantoin (NFT), and nitrofurazone (NFZ) for 0.43, 0.38, and 0.41 μM, respectively]. During the testing process, Eu-MOF exhibited good selectivity and recoverability. Furthermore, the mechanism of fluorescence quenching was investigated, and the recoveries were also good in real samples. This paper introduced a deep learning model to recognize the fluorescence images, a portable intelligent logic detector designed for real-time detection of Gsp by logic gate strategy, and an anticounterfeiting mark prepared based on inkjet printing. Importantly, this work provides a new way of thinking for the detection of organic pollutants in water with high sensitivity and practicality by combining the fluorescence probe with machine learning and logical judgment.
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