Qualitative Detection Toward Military and Improvised Explosive Vapors by a Facile TiO2 Nanosheet-Based Chemiresistive Sensor Array

Li, Yushu; Zhou, Wenyi; Zu, Baiyi; Dou, Xincun

doi:10.3389/fchem.2020.00029

Cited by 16 publications

(14 citation statements)

References 54 publications

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“…As an example of combining data from AR devices and IoT sensors to achieve better robustness, we can use high-quality data from IoT cameras to provide the existing viewpoints used in the auxiliary-assisted multi-view ensembler step. of illegal drugs [57] and explosives [106], which could all be incorporated into ambient IoT sensors. IoT-based monitoring of ambient acoustic signals [141] could be used to improve acoustic-based context detection for audio sources that are located far from the microphones of the AR devices.…”

Section: Mobile Clientmentioning

confidence: 99%

Ambient Intelligence for Next-Generation AR

Scargill¹,

Eom²,

Chen³

et al. 2023

Preprint

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Next-generation augmented reality (AR) promises a high degree of context-awareness -a detailed knowledge of the environmental, user, social and system conditions in which an AR experience takes place. This will facilitate both the closer integration of the real and virtual worlds, and the provision of context-specific content or adaptations. However, environmental awareness in particular is challenging to achieve using AR devices alone; not only are these mobile devices' view of an environment spatially and temporally limited, but the data obtained by onboard sensors is frequently inaccurate and incomplete. This, combined with the fact that many aspects of core AR functionality and user experiences are impacted by properties of the real environment, motivates the use of ambient IoT devices, wireless sensors and actuators placed in the surrounding environment, for the measurement and optimization of environment properties. In this book chapter we categorize and examine the wide variety of ways in which these IoT sensors and actuators can support or enhance AR experiences, including quantitative insights and proof-of-concept systems that will inform the development of future solutions. We outline the challenges and opportunities associated with several important research directions which must be addressed to realize the full potential of next-generation AR.

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Section: Mobile Clientmentioning

confidence: 99%

Ambient Intelligence for Next-Generation AR

Scargill¹,

Eom²,

Chen³

et al. 2023

Preprint

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“…Due to the escalating terrorism situation, fast and accurate detection of explosives has come to be a major global challenge [ 33 ]. In their illicit explosive devices, terrorists employ both less potent homemade explosives made of readily available commercial chemicals as well as powerful military explosives.…”

Section: Progress On Chemiresistive Sensors For Nitroaromatic Compoundsmentioning

confidence: 99%

“…In their illicit explosive devices, terrorists employ both less potent homemade explosives made of readily available commercial chemicals as well as powerful military explosives. Military explosives include 2,4,6-trinitrotoluene (TNT), hexogen (RDX), dinitrotoluene (DNT), and other nitro-explosives, and their chemical structures are shown in Figure 9 [ 33 ].…”

Section: Progress On Chemiresistive Sensors For Nitroaromatic Compoundsmentioning

confidence: 99%

Progressive Trends in Hybrid Material-Based Chemiresistive Sensors for Nitroaromatic Compounds

et al. 2022

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In the last decades, development of hybrid materials, especially inorganic–organic materials, coordination polymers, conducting polymers, carbon materials, and many more, has produced breakthroughs in diverse applications. Various advance materials have been reported in the literature using metal organic frameworks (MOFs), which compensate for the limitations of sensors. Diverse combinations of HMs not only offer excellent features, but also give a ray of hope for unprecedented advances in materials in different research areas, such as sensing, energy storage, catalysis, non-linear optics, drug-delivery systems, gas storage, etc. Chemiresistor sensors are a core enabling sensor technology and have led to much progress in the field of material science. Here, we have reviewed the recent progress in chemiresistive sensors based on HMs for nitroaromatic compounds, which could be beneficial for researchers that explore this field further. We have put emphasis on sensing mechanisms and the performance of diverse HMs for nitroaromatic sensing applications including pesticides, pollutants, explosives, polycyclic aromatic hydrocarbons (PAHs) and persistent organic pollutants (POPs). In the end, we explored opportunities, challenges, and future perspectives in this emerging field.

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“…Alternatively, Li et al developed a TiO 2 nanosheet-based gas sensor array targeting 11 explosives, including potassium nitrate, potassium chlorate, potassium permanganate, sulfur, ammonium nitrate, and urea. [39] The chemiresistive sensor array demonstrated differentiation of the target organic and inorganic fuels and oxidizers with response times on the order of tens of seconds. A small set of interferents was investigated, however, the relatively low selectivity of the sensor has the potential for burdensome levels of false positive detections.…”

Section: Chemical Conversionmentioning

confidence: 99%

Trace detection and chemical analysis of homemade fuel-oxidizer mixture explosives: Emerging challenges and perspectives

Forbes

Krauss

Gillen

2020

TrAC Trends in Analytical Chemistry

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The chemical analysis of homemade explosives (HMEs) and improvised explosive devices (IEDs) remains challenging for fieldable analytical instrumentation and sensors. Complex explosive fueloxidizer mixtures, black and smokeless powders, flash powders, and pyrotechnics often include an array of potential organic and inorganic components that present unique interference and matrix effect difficulties. The widely varying physicochemical properties of these components as well as external environmental interferents and background challenge many sampling and sensing modalities. This review provides perspective on these emerging challenges, critically discusses developments in sampling, sensors, and instrumentation, and showcases advancements for the trace detection of inorganic-based explosives.

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Qualitative Detection Toward Military and Improvised Explosive Vapors by a Facile TiO2 Nanosheet-Based Chemiresistive Sensor Array

Cited by 16 publications

References 54 publications

Ambient Intelligence for Next-Generation AR

Ambient Intelligence for Next-Generation AR

Progressive Trends in Hybrid Material-Based Chemiresistive Sensors for Nitroaromatic Compounds

Trace detection and chemical analysis of homemade fuel-oxidizer mixture explosives: Emerging challenges and perspectives

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