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Remote Tracking Gas Molecular via the Standalone-Like Nanosensor-Based Tele-Monitoring System

Han Jin Yuna Zhang Yuan Zhou Bin Liu Wenfeng Shen Shengwei Deng Wanlung Kam Waifung Cheung Junkan Yu Daxiang Cui Shan Gao Hao Yang Xiaowei Zhang Changzhou Hua Shengsheng Cui Cuili Xue

纳微快报(英文)2021,Vol.13Issue(2):207-220,14.
纳微快报(英文)2021,Vol.13Issue(2):207-220,14.

Remote Tracking Gas Molecular via the Standalone-Like Nanosensor-Based Tele-Monitoring System

Remote Tracking Gas Molecular via the Standalone?Like Nanosensor?Based Tele?Monitoring System

Han Jin 1Yuna Zhang 2Yuan Zhou 1Bin Liu 1Wenfeng Shen 1Shengwei Deng 3Wanlung Kam 4Waifung Cheung 5Junkan Yu 5Daxiang Cui 6Shan Gao 1Hao Yang 2Xiaowei Zhang 7Changzhou Hua 7Shengsheng Cui 6Cuili Xue6

作者信息

  • 1. Institute of Micro-Nano Science and Technology, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China
  • 2. National Engineering Research Center for Nanotechnology, Shanghai 200240, People's Republic of China
  • 3. Ningbo Materials Science and Technology Institute, Chinese Academy of Sciences, Ningbo 315201, People's Republic of China
  • 4. College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, People's Republic of China
  • 5. Qi Diagnostics Ltd, Hongkong, People's Republic of China
  • 6. School of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, People's Republic of China
  • 7. State Key Laboratory of Pathogen and Biosecurity, Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing 100071, People's Republic of China
  • 折叠

摘要

Abstract

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 deploy-ing 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 smartdevice demonstrated satisfactory selectivity (against six kinds of representative exhaust gases or air pollutants), desirable response mag- nitude (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. Conclu- sively, 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.

关键词

Metal–organic framework-derived polyhedral ZnO/Perovskite quantum dots/Nanosensor/NO2/Tele-monitoring system

Key words

Metal–organic framework-derived polyhedral ZnO/Perovskite quantum dots/Nanosensor/NO2/Tele-monitoring system

引用本文复制引用

Han Jin,Yuna Zhang,Yuan Zhou,Bin Liu,Wenfeng Shen,Shengwei Deng,Wanlung Kam,Waifung Cheung,Junkan Yu,Daxiang Cui,Shan Gao,Hao Yang,Xiaowei Zhang,Changzhou Hua,Shengsheng Cui,Cuili Xue..Remote Tracking Gas Molecular via the Standalone-Like Nanosensor-Based Tele-Monitoring System[J].纳微快报(英文),2021,13(2):207-220,14.

基金项目

The authors gratefully acknowledge the finan-cial 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), Shang-hai 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 innova-tion of Shanghai Jiao Tong University (Grant No. YG2017MS70), Shanghai Municipal Bureau of Economy and Information Technol-ogy (Grant No. XC-ZXSJ-02-2016-05), and China Postdoctoral Science Foundation. (Grant No. 2017YFA0205301)

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