Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/111154
Title: Computer Visionvs.spectrofluorometer-Assisted Detection of Common Nitro-Explosive Components Withbola-Type PAH-Based Chemosensors
Authors: 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.
Issue Date: 2021
Publisher: Royal Society of Chemistry
Royal Society of Chemistry (RSC)
Citation: 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.
Abstract: 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.
Keywords: 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://hdl.handle.net/10995/111154
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85111919156
PURE ID: 23002715
ISSN: 2046-2069
metadata.dc.description.sponsorship: This work was supported by RFBR, project number 19-33-90155.
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

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