Recent developments of nanomaterials-based conductive type methane sensors

Jiao, Mingzhi; Chen, Xiaoyu; Hu, Kexiang; Qian, Deyu; Xin, Zhao; Ding, Enjie

doi:10.1007/s12598-020-01679-9

Cited by 31 publications

(7 citation statements)

References 88 publications

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“…40 Photoinduced oxygen ions [O 2 − (hv)] can result in a higher sensor response. 41,42 Next, a series of sensing tests were conducted in complex mixed environments to collect data for the methanol identification model. To simulate an extremely harsh working environment, sensor response to 10 ppm methanol at 70% relative humidity (RH), 80% RH, and 90% RH was recorded.…”

Section: ■ Results and Discussionmentioning

confidence: 99%

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Machine Learning-Assisted Sensor Based on CsPbBr₃@ZnO Nanocrystals for Identifying Methanol in Mixed Environments

et al. 2023

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Methanol is a respiratory biomarker for pulmonary diseases, including COVID-19, and is a common chemical that may harm people if they are accidentally exposed to it. It is significant to effectively identify methanol in complex environments, yet few sensors can do so. In this work, the strategy of coating perovskites with metal oxides is proposed to synthesize core–shell CsPbBr3@ZnO nanocrystals. The CsPbBr3@ZnO sensor displays a response/recovery time of 3.27/3.11 s to 10 ppm methanol at room temperature, with a detection limit of 1 ppm. Using machine learning algorithms, the sensor can effectively identify methanol from an unknown gas mixture with 94% accuracy. Meanwhile, density functional theory is used to reveal the formation process of the core–shell structure and the target gas identification mechanism. The strong adsorption between CsPbBr3 and the ligand zinc acetylacetonate lays the foundation for the formation of the core–shell structure. The crystal structure, density of states, and band structure were influenced by different gases, which results in different response/recovery behaviors and makes it possible to identify methanol from mixed environments. Furthermore, due to the formation of type II band alignment, the gas response performance of the sensor is further improved under UV light irradiation.

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Section: ■ Results and Discussionmentioning

confidence: 99%

“…Relative studies show that more photogenerated electrons would migrate to the surface of ZnO during the gas sensing process, which promotes the adsorption of oxygen and reaction with oxygen molecules to form O 2 – (hv) . Photoinduced oxygen ions [O 2 – (hv)] can result in a higher sensor response. , …”

Section: Resultsmentioning

confidence: 99%

Machine Learning-Assisted Sensor Based on CsPbBr₃@ZnO Nanocrystals for Identifying Methanol in Mixed Environments

et al. 2023

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“…The most critical parameters of MOS CO sensors are sensitivity, selectivity, response time, and recovery time [30]. The value of response/sensitivity is larger than 1.…”

Section: General Definition and Sensing Modelmentioning

confidence: 99%

A Mini-Review on Metal Oxide Semiconductor Gas Sensors for Carbon Monoxide Detection at Room Temperature

He,

Jiao

2024

Chemosensors

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Carbon monoxide can cause severe harm to humans even at low concentrations. Metal Oxide Semiconductor (MOS) carbon monoxide gas sensors have excellent sensing performance regarding sensitivity, selectivity, response speed, and stability, making them very desirable candidates for carbon monoxide monitoring. However, MOS gas sensors generally work at temperatures higher than room temperature, and need a heating source that causes high power consumption. High power consumption is a great problem for long-term portable monitoring devices for point-of-care or wireless sensor nodes for IoT application. Room-temperature MOS carbon monoxide gas sensors can function well without a heater, making them rather suitable for IoT or portable applications. This review first introduces the primary working mechanism of MOS carbon monoxide sensors and then gives a detailed introduction to and analysis of room-temperature MOS carbon monoxide sensing materials, such as ZnO, SnO2, and TiO2. Lastly, several mechanisms for room-temperature carbon monoxide sensors based on MOSs are discussed. The review will be interesting to engineers and researchers working on MOS gas sensors.

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“…The use of these nanostructures in sensing applications drastically improves the selectivity, sensitivity, and stability of the sensor, due to the improvements of nanomaterials in ( i ) catalytic activity; ( ii ) the conductivity of the transducer due to its excellent mechanical, thermal, electrical, and optical properties; ( iii ) several receptors that can be anchored onto the nanostructure; ( iv ) high surface-to-volume ratio; ( v ) material sizes that can fall into the nanometre region, drastically increasing the number of surface atoms. Furthermore, the surface of nanostructures can be functionalized with pendant arms leading to increased reactivity [ 44 ].…”

Section: Nanomaterials For Sensingmentioning

confidence: 99%

Nanomaterials for Cortisol Sensing

Sfrazzetto

Santonocito

2022

Nanomaterials

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Space represents one of the most dangerous environments for humans, which can be affected by high stress levels. This can lead to severe physiological problems, such as headaches, gastrointestinal disorders, anxiety, hypertension, depression, and coronary heart diseases. During a stress condition, the human body produces specific hormones, such as dopamine, adrenaline, noradrenaline, and cortisol. In particular, the control of cortisol levels can be related to the stress level of an astronaut, particularly during a long-term space mission. The common analytical methods (HPLC, GC-MS) cannot be used in an extreme environment, such as a space station, due to the steric hindrance of the instruments and the absence of gravity. For these reasons, the development of smart sensing devices with a facile and fast analytical protocol can be extremely useful for space applications. This review summarizes the recent (from 2011) miniaturized sensoristic devices based on nanomaterials (gold and carbon nanoparticles, nanotubes, nanowires, nano-electrodes), which allow rapid and real-time analyses of cortisol levels in biological samples (such as saliva, urine, sweat, and plasma), to monitor the health conditions of humans under extreme stress conditions.

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Recent developments of nanomaterials-based conductive type methane sensors

Cited by 31 publications

References 88 publications

Machine Learning-Assisted Sensor Based on CsPbBr₃@ZnO Nanocrystals for Identifying Methanol in Mixed Environments

Machine Learning-Assisted Sensor Based on CsPbBr₃@ZnO Nanocrystals for Identifying Methanol in Mixed Environments

A Mini-Review on Metal Oxide Semiconductor Gas Sensors for Carbon Monoxide Detection at Room Temperature

Nanomaterials for Cortisol Sensing

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Recent developments of nanomaterials-based conductive type methane sensors

Cited by 31 publications

References 88 publications

Machine Learning-Assisted Sensor Based on CsPbBr3@ZnO Nanocrystals for Identifying Methanol in Mixed Environments

Machine Learning-Assisted Sensor Based on CsPbBr3@ZnO Nanocrystals for Identifying Methanol in Mixed Environments

A Mini-Review on Metal Oxide Semiconductor Gas Sensors for Carbon Monoxide Detection at Room Temperature

Nanomaterials for Cortisol Sensing

Contact Info

Product

Resources

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Machine Learning-Assisted Sensor Based on CsPbBr₃@ZnO Nanocrystals for Identifying Methanol in Mixed Environments

Machine Learning-Assisted Sensor Based on CsPbBr₃@ZnO Nanocrystals for Identifying Methanol in Mixed Environments