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http://elar.urfu.ru/handle/10995/111154
Название: | Computer Visionvs.spectrofluorometer-Assisted Detection of Common Nitro-Explosive Components Withbola-Type PAH-Based Chemosensors |
Авторы: | Kovalev, I. S. Sadieva, L. K. Taniya, O. S. Yurk, V. M. Minin, A. S. Santra, S. Zyryanov, G. V. Charushin, V. N. Chupakhin, O. N. Tsurkan, M. V. |
Дата публикации: | 2021 |
Издатель: | Royal Society of Chemistry Royal Society of Chemistry (RSC) |
Библиографическое описание: | Computer Visionvs.spectrofluorometer-Assisted Detection of Common Nitro-Explosive Components Withbola-Type PAH-Based Chemosensors / I. S. Kovalev, L. K. Sadieva, O. S. Taniya et al. // RSC Advances. — 2021. — Vol. 11. — Iss. 42. — P. 25850-25857. |
Аннотация: | Computer 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) - basedbola-type chemosensors. The PAH components of these chemicalbolasare 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. © The Royal Society of Chemistry 2021. |
Ключевые слова: | COMPUTER VISION EXPLOSIVES FLUORESCENCE HYDROCARBON REFINING MEDICAL IMAGING POLYCYCLIC AROMATIC HYDROCARBONS 2 ,4 ,6-TRINITROTOLUENE ELECTRONICS APPLICATIONS EXPLOSIVE COMPONENTS FLUORESCENCE DETECTION FLUORESCENT CHEMOSENSORS NANOMOLAR CONCENTRATION POLYAROMATIC HYDROCARBONS SPECTROFLUOROMETERS EXPLOSIVES DETECTION |
URI: | http://elar.urfu.ru/handle/10995/111154 |
Условия доступа: | info:eu-repo/semantics/openAccess |
Идентификатор РИНЦ: | 47008164 |
Идентификатор SCOPUS: | 85111919156 |
Идентификатор WOS: | 000680655300006 |
Идентификатор PURE: | 23002715 |
ISSN: | 2046-2069 |
DOI: | 10.1039/d1ra03108b |
Сведения о поддержке: | This work was supported by RFBR, project number 19-33-90155. |
Располагается в коллекциях: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
Файлы этого ресурса:
Файл | Описание | Размер | Формат | |
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2-s2.0-85111919156.pdf | 771,92 kB | Adobe PDF | Просмотреть/Открыть |
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