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Chipless RFID based multi-sensor tag for printed electronics

  • 0Department of Electrical Engineering, National University of Sciences and Technology, Islamabad 46000, Pakistan.
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February 29, 2024

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February 29, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

This study introduces a flexible, printable chipless Radio Frequency Identification (RFID) multi-sensor tag. The compact device offers object identification and environmental sensing, enabling high-density data encoding for unique item labeling.

Area Of Science

  • Microwave Engineering
  • Sensors and Actuators
  • Materials Science

Background

  • Chipless Radio Frequency Identification (RFID) tags offer unique identification capabilities without integrated circuits.
  • Integrating multi-sensor functionalities into RFID tags enhances their utility for environmental monitoring and object tracking.
  • Flexible and printable electronic components are crucial for low-cost, large-scale deployment of sensing technologies.

Purpose Of The Study

  • To design and implement a novel chipless RFID multi-sensor tag on a flexible substrate.
  • To incorporate moisture and temperature sensing capabilities into the RFID tag.
  • To optimize the tag design for high code density and cost-effectiveness.

Main Methods

  • The tag was designed with 29 resonators for data encoding, operating within a 5.48-28.87 GHz frequency band.
  • Optimization was performed on Kapton®HN and PET substrates, utilizing silver nanoparticle ink and Aluminum radiators.
  • Moisture sensing was achieved using a Kapton®HN film, while temperature sensing utilized Stanyl® polyamide.

Main Results

  • A flexible, miniaturized (15x16 mm²) chipless RFID multi-sensor tag was successfully implemented.
  • The tag demonstrated a high code density of 12.08 bits/cm², allowing for 2^29 unique item labels.
  • Integrated moisture and temperature sensing functionalities were validated.

Conclusions

  • The developed chipless RFID multi-sensor tag offers a flexible, printable, and cost-effective solution for object identification and environmental monitoring.
  • Its compact size, high code density, and multi-sensing capabilities make it suitable for diverse applications.
  • This research advances the integration of sensing and identification technologies on flexible platforms.

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