2023
DOI: 10.1002/aoc.7102
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Synthesis of novel fluorescent sensor based on a modified amino Al‐MOF for rapid, sensitive, and selective detection of arsenic in aqueous solution

Abstract: In this study, a novel fluorescent sensor was created on the basis of the Schiff base reaction, where the covalent attachment was achieved by condensation of NH 2 -Al-MOF and 2-hydroxyacetophenone ligand. The condensation was verified by Fourier transform infrared (FT-IR), X-ray diffraction spectrometry (XRD), Brunauer-Emmett-Teller (BET), in addition to (XPS) analysis. Studied fluorescence characteristics in optimum conditions and the results were great, especially the low limit of detection (LOD) and the lim… Show more

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Cited by 14 publications
(1 citation statement)
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“…However, some methods have LODs that are significantly lower than this Hcy-MIP biosensor method—for instance, the quantum dot platform method with an LOD and detection range in the nM range [ 15 , 32 , 33 ] or HPLC with a post-column reaction platform, where the LOD and detection range are 10 times better [ 5 , 8 , 9 ]. It is possible to modify the Hcy-MIP to obtain a fluorescent signal [ 45 ] and apply it to the fluorescent sensor platform to obtain a better LOD [ 49 ]. During the polymerization process, the Hcy-MIP can be coated on a polymeric photonic platform for the real-time sensing of Hcy [ 50 ].…”
Section: Resultsmentioning
confidence: 99%
“…However, some methods have LODs that are significantly lower than this Hcy-MIP biosensor method—for instance, the quantum dot platform method with an LOD and detection range in the nM range [ 15 , 32 , 33 ] or HPLC with a post-column reaction platform, where the LOD and detection range are 10 times better [ 5 , 8 , 9 ]. It is possible to modify the Hcy-MIP to obtain a fluorescent signal [ 45 ] and apply it to the fluorescent sensor platform to obtain a better LOD [ 49 ]. During the polymerization process, the Hcy-MIP can be coated on a polymeric photonic platform for the real-time sensing of Hcy [ 50 ].…”
Section: Resultsmentioning
confidence: 99%