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作 者:Xinwei Chen Tao Wang Jia Shi Wen Lv Yutong Han Min Zeng Jianhua Yang Nantao Hu Yanjie Su Hao Wei Zhihua Zhou Zhi Yang Yafei Zhang
出 处:《Nano-Micro Letters》2022年第1期167-181,共15页纳微快报(英文版)
基 金:supported by the National Natural Science Foundation of China(61971284);the Oceanic Interdisciplinary Program of Shanghai Jiao Tong University(SL2020ZD203 and SL2020MS031);Scientific Research Fund of Second Institute of Oceanography,Ministry of Natural Resources of P.R.China(SL2003);Shanghai Sailing Program(21YF1421400);Startup Fund for Youngman Research at Shanghai Jiao Tong University.
摘 要:Real-time rapid detection of toxic gases at room temperature is particularly important for public health and environmental monitoring.Gas sensors based on conventional bulk materials often suffer from their poor surface-sensitive sites,leading to a very low gas adsorption ability.Moreover,the charge transportation efficiency is usually inhibited by the low defect density of surface-sensitive area than that in the interior.In this work,a gas sensing structure model based on CuS quantum dots/Bi_(2)S_(3) nanosheets(CuS QDs/Bi_(2)S_(3) NSs)inspired by artificial neuron network is constructed.Simulation analysis by density functional calculation revealed that CuS QDs and Bi_(2)S_(3) NSs can be used as the main adsorption sites and charge transport pathways,respectively.Thus,the high-sensitivity sensing of NO_(2) can be realized by designing the artificial neuron-like sensor.The experimental results showed that the CuS QDs with a size of about 8 nm are highly adsorbable,which can enhance the NO_(2) sensitivity due to the rich sensitive sites and quantum size effect.The Bi_(2)S_(3) NSs can be used as a charge transfer network channel to achieve efficient charge collection and transmission.The neuron-like sensor that simulates biological smell shows a significantly enhanced response value(3.4),excellent responsiveness(18 s)and recovery rate(338 s),low theoretical detection limit of 78 ppb,and excellent selectivity for NO_(2).Furthermore,the developed wearable device can also realize the visual detection of NO2 through real-time signal changes.
关 键 词:Artificial neuron-like gas sensor Heterostructure design Nitrogen dioxide detection Wearable device
分 类 号:X851[环境科学与工程—环境工程] TB383.1[一般工业技术—材料科学与工程] TP212[自动化与计算机技术—检测技术与自动化装置]
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