Scholarlink

<p>A&#xa0;passive coding monopod antenna sensor (RFID) tag based on a composite material of titanium dioxide (TiO<sub>2</sub>)/single-walled carbon nanotubes (SWCNT)/reduced graphene oxide (RGO) is studied. This sensor can be used to precisely measure light intensity and carbon dioxide concentration. Under the illumination of light with an intensity ranging from 4 to 18.1 klx, the input echo suffered a loss of − 21.88&#xa0;dB. The response time of the tag to the light intensity was 9.8&#xa0;s, and the recovery time was 19.2&#xa0;s. The label generated a frequency point change of 124 MHZ at a carbon dioxide concentration ranging from 700 to 1900&#xa0;ppm. The response time to the carbon dioxide concentration was 5.2&#xa0;s, and the recovery time was 18.4&#xa0;s. After testing and evaluation, this label has excellent stability, repeatability, and responsiveness under normal conditions.</p> Graphical Abstract <p></p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Design of passive coding RFID sensor tags for smart agriculture based on RGO-TiO2-SWCNT electrode

  • 期刊论文

  • 发表日期：

    2025年9月3日

查看全文
  • Peng Zhang,
  • Junxian Hong,
  • Fengjuan Miao,
  • Bairui Tao

摘要

A passive coding monopod antenna sensor (RFID) tag based on a composite material of titanium dioxide (TiO2)/single-walled carbon nanotubes (SWCNT)/reduced graphene oxide (RGO) is studied. This sensor can be used to precisely measure light intensity and carbon dioxide concentration. Under the illumination of light with an intensity ranging from 4 to 18.1 klx, the input echo suffered a loss of − 21.88 dB. The response time of the tag to the light intensity was 9.8 s, and the recovery time was 19.2 s. The label generated a frequency point change of 124 MHZ at a carbon dioxide concentration ranging from 700 to 1900 ppm. The response time to the carbon dioxide concentration was 5.2 s, and the recovery time was 18.4 s. After testing and evaluation, this label has excellent stability, repeatability, and responsiveness under normal conditions.

Graphical Abstract