Skip to main navigation Skip to search Skip to main content

UHF RFID Sensor Antenna for Fat Content and Adulteration Detection of Milk

  • University of Electronic Science and Technology of China
  • University of Glasgow

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This paper proposes an ultrahigh-frequency (UHF) radio-frequency identification (RFID) tag sensor for detecting fat content and spoilage in milk. This dual-slot-based tag, designed and optimized for whole milk (3.6% fat content) using characteristic mode analysis (CMA), features two open triangular slots that improve impedance matching with milk bottles. The tag antenna achieves a good impedance match and bandwidth (880 MHz - 950 MHz). Prototypes of the tag were pasted onto milk bottles with fat contents of 1.5% (low-fat cow's milk), 3.6% (full-cream cow's milk), and 4.5% (full-cream buffalo's milk). The experiments utilized an RFID reader setup with an EIRP of 30 dBm (1 W). The results demonstrate the proposed sensor tag's capability for detecting milk's fat content. Furthermore, this tag paves the way for non-invasive detection of milk adulteration (primarily dilution with water) and spoilage.

Original languageEnglish
Title of host publication18th European Conference on Antennas and Propagation, EuCAP 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9788831299091
DOIs
StatePublished - 2024
Event18th European Conference on Antennas and Propagation, EuCAP 2024 - Glasgow, United Kingdom
Duration: 17 Mar 202422 Mar 2024

Publication series

Name18th European Conference on Antennas and Propagation, EuCAP 2024

Conference

Conference18th European Conference on Antennas and Propagation, EuCAP 2024
Country/TerritoryUnited Kingdom
CityGlasgow
Period17/03/2422/03/24

Keywords

  • IoT systems
  • Tag design
  • antennas
  • radiofreqency identification
  • sensor

Fingerprint

Dive into the research topics of 'UHF RFID Sensor Antenna for Fat Content and Adulteration Detection of Milk'. Together they form a unique fingerprint.

Cite this