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.