Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : 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.
Заглавие : Computer vision vs. spectrofluorometer-assisted detection of common nitro-explosive components with bola-type PAH-based chemosensors
Место публикации : RSC Advances. - 2021. - Vol. 11, № 42. - С. 25850-25857
Предметные рубрики: ХИМИЧЕСКИЕ НАУКИ
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) – 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.

Доп.точки доступа:
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.