2021
DOI: 10.1039/d1ra03108b
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Computer vision vs. spectrofluorometer-assisted detection of common nitro-explosive components with bola-type PAH-based chemosensors

Abstract: Simplified computer vision-assisted algorithm for the excimer fluorescence "turn-off" detection of nitro-analytes in aqueous media is described.

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Cited by 6 publications
(2 citation statements)
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References 54 publications
(72 reference statements)
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“…The materials and devices for the remote detection of explosives, including fluorescence-based ones, are of high demand from the perspective of a high risk of terrorist attack worldwide [ 40 , 41 , 42 ]. Additionally, pyrene derivatives, including azole-appended ones, are known to exhibit a well-pronounced fluorescence “turn-off” response toward common nitroatomatic analytes [ 43 , 44 , 45 , 46 , 47 , 48 ], as well as some nitroaliphatic explosive components [ 49 , 50 ]. In addition, fluorescence- and aggregation-induced emission (AIE)-based small/single-molecule fluorophores, sensors, and probes [ 51 , 52 , 53 , 54 ] are of high demand for biovisualization applications [ 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 ].…”
Section: Resultsmentioning
confidence: 99%
“…The materials and devices for the remote detection of explosives, including fluorescence-based ones, are of high demand from the perspective of a high risk of terrorist attack worldwide [ 40 , 41 , 42 ]. Additionally, pyrene derivatives, including azole-appended ones, are known to exhibit a well-pronounced fluorescence “turn-off” response toward common nitroatomatic analytes [ 43 , 44 , 45 , 46 , 47 , 48 ], as well as some nitroaliphatic explosive components [ 49 , 50 ]. In addition, fluorescence- and aggregation-induced emission (AIE)-based small/single-molecule fluorophores, sensors, and probes [ 51 , 52 , 53 , 54 ] are of high demand for biovisualization applications [ 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 ].…”
Section: Resultsmentioning
confidence: 99%
“…Therefore, fluorescence-based sensory materials can be easily and effectively integrated into sensing devices for remote (nitro-)explosive detection, for instance, the well-known Fido explosive detector [ 145 ], as well as other types of “electronic noses” [ 146 , 147 ]. In addition, some simpler devices and approaches can be introduced, for instance, mobile-phone-based explosive detection systems [ 148 ] or computer-vision-based algorithms [ 149 ].…”
Section: Conclusion and Future Perspectivesmentioning
confidence: 99%