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Remote Tracking Gas Molecular via the Standalone-Like Nanosensor-Based Tele-Monitoring System 被引量:1

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摘要 Remote tracking the variation of air quality in an effective way will be highly helpful to decrease the health risk of human short-and long-term exposures to air pollution.However,high power consumption and poor sensing performance remain the concerned issues,thereby limiting the scale-up in deploying air quality tracking networks.Herein,we report a standalone-like smart device that can remotely track the variation of air pollutants in a power-saving way.Brevity,the created smart device demonstrated satisfactory selectivity(against six kinds of representative exhaust gases or air pollutants),desirable response magnitude(164–100 ppm),and acceptable response/recovery rate(52.0/50.5 s),as well as linear response relationship to NO2.After aging for 2 weeks,the created device exhibited relatively stable sensing performance more than 3 months.Moreover,a photoluminescence-enhanced light fidelity(Li-Fi)telecommunication technique is proposed and the Li-Fi communication distance is significantly extended.Conclusively,our reported standalone-like smart device would sever as a powerful sensing platform to construct high-performance and low-power consumption air quality wireless sensor networks and to prevent air pollutant-induced diseases via a more effective and low-cost approach.
出处 《Nano-Micro Letters》 SCIE EI CAS CSCD 2021年第2期207-220,共14页 纳微快报(英文版)
基金 the financial support for this research from the National Key Research and Development Program of China(Grant No.2017YFA0205301) National Natural Science Foundation of China(Grant No.61771267,61774106) Oceanic Interdisciplinary Program of Shanghai Jiao Tong University(Grant No.BX2020208) Shanghai Natural Science Foundation(Grant No.86973) Natural Science Foundation of Ningbo City(Grant No.2017A610229) National Postdoctoral Program for Innovative Talents(Grant No.BX20190205) Special fund for science and technology innovation of Shanghai Jiao Tong University(Grant No.YG2017MS70) Shanghai Municipal Bureau of Economy and Information Technology(Grant No.XC-ZXSJ-02-2016-05) China Postdoctoral Science Foundation.
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