Agile Detection of Chemical Warfare Agents by Machine Vision: a Supramolecular Approach.
- Resource Type
- Academic Journal
- Authors
- Tuccitto N; Department of Chemical Sciences, University of Catania, 95125, Catania, Italy.; Laboratory for Molecular Surfaces and Nanotechnology - CSGI, 95125, Catania, Italy.; Catania G; Department of Chemical Sciences, University of Catania, 95125, Catania, Italy.; Pappalardo A; Department of Chemical Sciences, University of Catania, 95125, Catania, Italy.; National Interuniversity Consortium for Materials Science and Technology (I.N.S.T.M.) Research Unit of Catania, 95125, Catania, Italy.; Trusso Sfrazzetto G; Department of Chemical Sciences, University of Catania, 95125, Catania, Italy.; National Interuniversity Consortium for Materials Science and Technology (I.N.S.T.M.) Research Unit of Catania, 95125, Catania, Italy.
- Source
- Publisher: Wiley-VCH Country of Publication: Germany NLM ID: 9513783 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1521-3765 (Electronic) Linking ISSN: 09476539 NLM ISO Abbreviation: Chemistry Subsets: MEDLINE
- Subject
- Language
- English
The supramolecular detection by image analysis of a simulant chemical warfare agent on a solid device containing a selective molecular sensor based on a BODIPY scaffold is reported. The recognition properties were investigated in solution, demonstrating high affinity (log K 6.60) and sensitivity (LOD 10 ppt). A test strip also confirmed the sensing properties in gas phase. Image analysis of the solid device allows quantitative information about the simulant to be obtained, recovering the sensor almost 5 times and thus confirming the goal of the supramolecular approach.
(© 2021 The Authors. Chemistry - A European Journal published by Wiley-VCH GmbH.)