Key Laboratory of Synthetic and Natural Functional Molecule of the Ministry of Education, Shaanxi Key Laboratory of Physico-Inorganic Chemistry, College of Chemistry and Materials Science, Northwest University, Xi'an 710127, P. R. China.
Inorg Chem. 2024 Aug 12;63(32):15134-15143. doi: 10.1021/acs.inorgchem.4c02232. Epub 2024 Jul 29.
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), {[Eu(L)(HCOO)(HO)]·2HO·2DMF} (), was synthesized from 3,5-bis(2,4-dicarboxylphenyl)nitrobenzene (HL) ligand and Eu via the solvothermal method in this paper. The 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, 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.
棉酚(Gsp)和抗生素存在于水体中成为对人类健康和生态环境有害的有机污染物。准确有效地检测这些污染物在许多领域都具有深远的意义。本文通过溶剂热法,以 3,5-双(2,4-二羧基苯基)硝基苯(HL)配体和 Eu 合成了一种新的三维金属有机骨架(MOF),{[Eu(L)(HCOO)(HO)]·2HO·2DMF}()。该 MOF 荧光探针可通过“关闭”效应检测有机污染物,具有快速的响应速度和较低的检测限[Gsp、呋喃妥因(NFT)和呋喃唑酮(NFZ)的检测限分别为 0.43、0.38 和 0.41 μM]。在测试过程中,表现出良好的选择性和可恢复性。此外,还研究了荧光猝灭的机理,实际样品中的回收率也很好。本文介绍了一种用于识别荧光图像的深度学习模型、一种基于逻辑门策略设计的用于实时检测 Gsp 的便携式智能逻辑探测器,以及一种基于喷墨打印制备的防伪标记。重要的是,这项工作通过将荧光探针与机器学习和逻辑判断相结合,为具有高灵敏度和实用性的水中有机污染物检测提供了一种新的思路。