Abstract

Nowadays, the abuse of amphetamine-type stimulants (ATS) is of increasing concern in many countries. To better solve this problem, an easy, convenient and sensitive ATS sensor (CB/[email protected]3-1) to monitor 3-phenylpropylamine (3-PPA) in saliva has been first constructed, which employ cucurbit uril (CB) as a specific pre-concentrator of 3-PPA and Eu3+ as a fluorescent recognition towards 3-PPA. In order to anchor the supramolecular cucurbit uril (CB) on the metal-organic frameworks (MOFs) and simultaneously introduce the fluorescence of Eu3+ into it, a creative way was first proposed in this work to realize the bis-functionalization of MOF (1). The covalent functionalization of the MOFs (CH3-1) makes it possess the electron-deficient groups to form donor-acceptor (D-A) complexes with cucurbit uril (CB), while the coordinate functionalization furnished the MOFs excellent luminescence of Eu3+ ([email protected]3-1). For further application, the methodology of using artificial neural networks (ANNs) to process sensing results was first proposed, which can intelligently convert the fluorescent sensing image into the concentrations of 3-PPA without the artificial tedious digital processing. The proposal of the methodology opens a new strategy for intelligent analysis of sensing experiment results.

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