Wireless Hydrogen Smart Sensor Based on Pt/Graphene-Immobilized Radio-Frequency Identification Tag

被引:110
|
作者
Lee, Jun Seop [1 ]
Oh, Jungkyun [1 ]
Jun, Jaemoon [1 ]
Jang, Jyongsik [1 ]
机构
[1] Seoul Natl Univ, Sch Chem & Biol Engn, Coll Engn, Seoul 151742, South Korea
基金
新加坡国家研究基金会;
关键词
hydrogen; graphene; wireless sensor; platinum; flexible; UHF-RFID TAGS; ELECTROCHEMICAL DETECTION; TEMPERATURE; NANOPARTICLES; NANOSTRUCTURES; FABRICATION; ULTRAFINE; NETWORKS; ARRAYS;
D O I
10.1021/acsnano.5b02024
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Hydrogen, a clean-burning fuel, is of key importance to various industrial applications, including fuel cells and the aerospace and automotive industries. However, hydrogen gas is odorless, colorless, and highly flammable; thus, appropriate safety protocol implementation and monitoring are essential. Highly sensitive hydrogen-gas leak detection and surveillance systems are needed; additionally, the ability to monitor large areas (e.g., cities) via wireless networks is becoming increasingly important. In this report, we introduce a radio frequency identification (RFID)based wireless smart-sensor system, composed of a Pt-decorated reduced graphene oxide (Pt_rGO)-immobilized RFID sensor tag and an RFID-reader antenna-connected network analyzer to detect hydrogen gas. The Pt_rGOs, produced using a simple chemical reduction process, were immobilized on an antenna pattern in the sensor tag through spin coating. The resulting Pt_rGO-based RFID sensor tag exhibited a high sensitivity to hydrogen gas at unprecedentedly low concentrations (1 ppm), with wireless communication between the sensor tag and RFID-reader antenna. The wireless sensor tag demonstrated flexibility and a long lifetime due to the strong immobilization of Pt_rGOs on the substrate and battery-independent operation during hydrogen sensing, respectively.
引用
收藏
页码:7783 / 7790
页数:8
相关论文
共 50 条
  • [21] Round-priority-based anti-collision tag identification method in a mobile radio-frequency identification system
    Zhang, Liqian
    Fu, Xueliang
    Li, Honghui
    INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2019, 15 (05)
  • [22] Design of Smart home System Based on Basic Radio Frequency Wireless Sensor Network
    Tian, Fang
    Long, Xi
    Liao, Wendi
    INTERNATIONAL JOURNAL OF ONLINE ENGINEERING, 2018, 14 (04) : 126 - 136
  • [23] Wireless SMART Product Tracking using Radio Frequency Identification
    Jardine, Naeem
    Gericke, Gareth A.
    Kuriakose, Rangith R.
    Vermaak, Hermanus J.
    2019 IEEE 2ND WIRELESS AFRICA CONFERENCE (WAC), 2019, : 106 - 111
  • [24] A Novel L-Shape Ultra Wideband Chipless Radio-Frequency Identification Tag
    Issa, Khaled
    Ashraf, Muhammad A.
    AlShareef, Mohammed R.
    Behairy, Hatim
    Alshebeili, Saleh
    Fathallah, Habib
    INTERNATIONAL JOURNAL OF ANTENNAS AND PROPAGATION, 2017, 2017
  • [25] A three-dimensional localization algorithm for passive radio-frequency identification device tag
    Liu, Fagui
    Zhong, Dexiang
    Luo, Songchao
    INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2017, 13 (10): : 1 - 12
  • [26] Detection and identification of objects based on radio-frequency signatures
    Somnath Mukherjee
    annals of telecommunications - annales des télécommunications, 2013, 68 : 459 - 466
  • [27] Pentacene-based radio-frequency identification circuitry
    Baude, PF
    Ender, DA
    Haase, MA
    Kelley, TW
    Muyres, DV
    Theiss, SD
    APPLIED PHYSICS LETTERS, 2003, 82 (22) : 3964 - 3966
  • [28] Detection and identification of objects based on radio-frequency signatures
    Mukherjee, Somnath
    ANNALS OF TELECOMMUNICATIONS-ANNALES DES TELECOMMUNICATIONS, 2013, 68 (7-8): : 459 - 466
  • [29] A Passive Radio-Frequency pH-Sensing Tag for Wireless Food-Quality Monitoring
    Huang, Wen-Ding
    Deb, Sanchali
    Seo, Young-Sik
    Rao, Smitha
    Chiao, Mu
    Chiao, J. C.
    IEEE SENSORS JOURNAL, 2012, 12 (03) : 487 - 495
  • [30] Multi-tag radio-frequency identification systems based on new blind source separation neural networks
    Deville, Y
    Damour, J
    Charkani, N
    NEUROCOMPUTING, 2002, 49 : 369 - 388