Literature DB >> 27149567

Amine Molecular Cages as Supramolecular Fluorescent Explosive Sensors: A Computational Perspective.

Martijn A Zwijnenburg1, Enrico Berardo2, William J Peveler1, Kim E Jelfs2.   

Abstract

We investigate using a computational approach the physical and chemical processes underlying the application of organic (macro)molecules as fluorescence quenching sensors for explosives sensing. We concentrate on the use of amine molecular cages to sense nitroaromatic analytes, such as picric acid and 2,4-dinitrophenol, through fluorescence quenching. Our observations for this model system hold for many related systems. We consider the different possible mechanisms of fluorescence quenching: Förster resonance energy transfer, Dexter energy transfer and photoinduced electron transfer, and show that in the case of our model system, the fluorescence quenching is driven by the latter and involves stable supramolecular sensor-analyte host-guest complexes. Furthermore, we demonstrate that the experimentally observed selectivity of amine molecular cages for different explosives can be explained by the stability of these host-guest complexes and discuss how this is related to the geometry of the binding site in the sensor. Finally, we discuss what our observations mean for explosive sensing by fluorescence quenching in general and how this can help in future rational design of new supramolecular detection systems.

Entities:  

Year:  2016        PMID: 27149567     DOI: 10.1021/acs.jpcb.6b03059

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  2 in total

1.  Triphenylbenzene Sensor for Selective Detection of Picric Acid.

Authors:  S Nagendran; Pratap Vishnoi; Ramaswamy Murugavel
Journal:  J Fluoresc       Date:  2017-03-14       Impact factor: 2.217

Review 2.  Interpol review of detection and characterization of explosives and explosives residues 2016-2019.

Authors:  Douglas J Klapec; Greg Czarnopys; Julie Pannuto
Journal:  Forensic Sci Int       Date:  2020-06-17       Impact factor: 2.395

  2 in total

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