Computer vision vs. spectrofluorometer-assisted detection of common nitro-explosive components with bola-type PAH-based chemosensors

dc.bibliographicCitation.firstPage25850eng
dc.bibliographicCitation.issue42eng
dc.bibliographicCitation.lastPage25857eng
dc.bibliographicCitation.volume11eng
dc.contributor.authorKovalev, Igor S.
dc.contributor.authorSadieva, Leila K.
dc.contributor.authorTaniya, Olga S.
dc.contributor.authorYurk, Victoria M.
dc.contributor.authorMinin, Artem S.
dc.contributor.authorSantra, Sougata
dc.contributor.authorZyryanov, Grigory V.
dc.contributor.authorCharushin, Valery N.
dc.contributor.authorChupakhin, Oleg N.
dc.contributor.authorTsurkan, Mikhail V.
dc.date.accessioned2022-04-14T07:50:01Z
dc.date.available2022-04-14T07:50:01Z
dc.date.issued2021
dc.description.abstractComputer vision (CV) algorithms are widely utilized in imaging processing for medical and personal electronics applications. In sensorics CV can provide a great potential to quantitate chemosensors' signals. Here we wish to describe a method for the CV-assisted spectrofluorometer-free detection of common nitro-explosive components, e.g. 2,4-dinitrotoluene (DNT) and 2,4,6-trinitrotoluene (TNT), by using polyaromatic hydrocarbon (PAH, PAH = 1-pyrenyl or 9-anthracenyl) – based bola-type chemosensors. The PAH components of these chemical bolas are able to form stable, bright emissive in a visual wavelength region excimers, which allows their use as extended matrices of the RGB colors after imaging and digital processing. In non-polar solvents, the excimers have poor chemosensing properties, while in aqueous solutions, due to the possible micellar formation, these excimers provide “turn-off” fluorescence detection of DNT and TNT in the sub-nanomolar concentrations. A combination of these PAH-based fluorescent chemosensors with the proposed CV-assisted algorithm offers a fast and convenient approach for on-site, real-time, multi-thread analyte detection without the use of fluorometers. Although we focus on the analysis of nitro-explosives, the presented method is a conceptual work describing a general use of CV for quantitative fluorescence detection of various analytes as a simpler alternative to spectrofluorometer-assisted methods.eng
dc.description.versionpublishedVersioneng
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/8693
dc.identifier.urihttps://doi.org/10.34657/7731
dc.language.isoengeng
dc.publisherLondon : RSC Publishingeng
dc.relation.doihttps://doi.org/10.1039/d1ra03108b
dc.relation.essn2046-2069
dc.relation.ispartofseriesRSC Advances : an international journal to further the chemical sciences 11 (2021), Nr. 42eng
dc.rights.licenseCC BY 3.0 Unportedeng
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/eng
dc.subjectComputer visioneng
dc.subjectExplosiveseng
dc.subjectFluorescenceeng
dc.subjectHydrocarbon refiningeng
dc.subjectMedical imagingeng
dc.subjectPolycyclic aromatic hydrocarbonseng
dc.subject2 ,4 ,6-trinitrotolueneeng
dc.subjectElectronics applicationseng
dc.subjectExplosive componentseng
dc.subjectFluorescence detectioneng
dc.subjectFluorescent chemosensorseng
dc.subjectNanomolar concentrationeng
dc.subjectPolyaromatic hydrocarbonseng
dc.subjectSpectrofluorometerseng
dc.subjectExplosives detectioneng
dc.subject.ddc540eng
dc.titleComputer vision vs. spectrofluorometer-assisted detection of common nitro-explosive components with bola-type PAH-based chemosensorseng
dc.typearticleeng
dc.typeTexteng
dcterms.bibliographicCitation.journalTitleRSC Advances : an international journal to further the chemical scienceseng
tib.accessRightsopenAccesseng
wgl.contributorIPFeng
wgl.subjectChemieeng
wgl.typeZeitschriftenartikeleng
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