Applying of methods of processing of hyperspectral data for identification of traces of explosives

Maksimenko, Eugene V.; Chernyshova, Lyudmila V.; Didenko, Aleksandr V.

doi:10.1109/edm.2016.7538758

Cited by 2 publications

(2 citation statements)

References 3 publications

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“…3) The module of processing and interpretation of hyperspectral data with the presenting of conclusion about the presence of traces of explosives on the studying surface [15].…”

Section: Tuning and Automation Of Measuring Complexmentioning

confidence: 99%

Detection and Identification of the Traces of Explosives with Using of Active Spectral Imaging

Kuzovnikova

Maksimenko

Vorozhtsov

et al. 2018

Propellants Explo Pyrotec

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An optical‐electronic laser complex for the standoff detection of traces of explosives was developed with using of the Active Spectral Imaging. The tuning and automatization of the developed complex were performed. Experimental researches in detection of traces of various types of explosives on different substrates were carried out. On average, the probability of detection was 89 % and the probability of identification was 91 %.

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“…3) The module of processing and interpretation of hyperspectral data with the presenting of conclusion about the presence of traces of explosives on the studying surface [15].…”

Section: Tuning and Automation Of Measuring Complexmentioning

confidence: 99%

Detection and Identification of the Traces of Explosives with Using of Active Spectral Imaging

Kuzovnikova

Maksimenko

Vorozhtsov

et al. 2018

Propellants Explo Pyrotec

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“…Thus, the creation of quick and precise explosive detection systems can significantly increase public safety and stop terrorist attacks. The development of miniaturized, integrated, and portable explosive detection systems is hampered by the inherent drawbacks of traditional detection methods such as gas chromatography, , spectroscopic analysis, , and image processing, which are huge in size, expensive, and reliant on complicated algorithms. Recent years have seen a fast advancement in sensor technology, making the aforementioned problems manageable.…”

Section: Introductionmentioning

confidence: 99%

Dual Improvement in Sensitivity and Humidity Tolerance of a NO₂ Sensor Based on 3-Aminopropyltriethoxysilane Self-Assembled Monolayer-Functionalized SnSe₂ for Explosive Photolysis Gas Detection

Guo

Shi

Liu

et al. 2023

ACS Appl. Mater. Interfaces

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Explosives can be analyzed for their content by detecting the photolytic gaseous byproducts. However, to prevent electrostatic sparking, explosives are frequently preserved in conditions with low temperatures and high humidity, impeding the performance of gas detection. Thus, it has become a research priority to develop gas sensors that operate at ambient temperature and high humidity levels in the realm of explosive breakdown gas-phase detection. In this work, 3-aminopropyltriethoxysilane (APTES) self-assembled monolayer-functionalized tin diselenide (APTES-SnSe 2 ) nanosheets were synthesized via a facile solution stirring strategy, resulting in a room-temperature NO 2 sensor with improved sensitivity and humidity tolerance. The APTES-SnSe 2 sensor with moderate functionalization time outperforms the pure SnSe 2 sensor in terms of the response value (317.51 vs 110.98%) and response deviation (3.11 vs 24.13%) under humidity interference to 500 ppb NO 2 . According to density functional theory simulations, the stronger adsorption of terminal amino groups of the APTES molecules to NO 2 molecules and stable adsorption energy in the presence of H 2 O are the causes of the improved sensing capabilities. Practically, the APTES-SnSe 2 sensor achieves accurate detection of photolysis gases from trace nitro explosives octogen, pentaerythritol tetranitrate, and trinitrotoluene at room temperature and various humidity levels. This study provides a potential strategy for the construction of gas sensors with high responsiveness and antihumidity capabilities to identify explosive content in harsh environments.

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Applying of methods of processing of hyperspectral data for identification of traces of explosives

Cited by 2 publications

References 3 publications

Detection and Identification of the Traces of Explosives with Using of Active Spectral Imaging

Detection and Identification of the Traces of Explosives with Using of Active Spectral Imaging

Dual Improvement in Sensitivity and Humidity Tolerance of a NO₂ Sensor Based on 3-Aminopropyltriethoxysilane Self-Assembled Monolayer-Functionalized SnSe₂ for Explosive Photolysis Gas Detection

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Applying of methods of processing of hyperspectral data for identification of traces of explosives

Cited by 2 publications

References 3 publications

Detection and Identification of the Traces of Explosives with Using of Active Spectral Imaging

Detection and Identification of the Traces of Explosives with Using of Active Spectral Imaging

Dual Improvement in Sensitivity and Humidity Tolerance of a NO2 Sensor Based on 3-Aminopropyltriethoxysilane Self-Assembled Monolayer-Functionalized SnSe2 for Explosive Photolysis Gas Detection

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Dual Improvement in Sensitivity and Humidity Tolerance of a NO₂ Sensor Based on 3-Aminopropyltriethoxysilane Self-Assembled Monolayer-Functionalized SnSe₂ for Explosive Photolysis Gas Detection