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SpeedPest: Accurate Multi-Pesticide Detection with NFC-Based Rapid Response Tag

  • Guorong He
  • , Chao Zheng
  • , Yaxiong Xie
  • , Longlong Zhang
  • , Qi Wu
  • , Wenyan Zhang
  • , Dan Xu
  • , Jin Cui
  • , Xiaojiang Chen
  • Northwest University China
  • Shaanxi International Joint Research Centre for the Battery-Free Internet of Things
  • Xi'an Advanced Battery-Free Sensing and Computing Technology International Science and Technology Cooperation Base
  • Ministry of Education of the People's Republic of China

Research output: Contribution to journalArticlepeer-review

Abstract

Pesticide overuse poses significant risks to human health and environmental integrity. Addressing the limitations of existing approaches, which struggle with the diversity of pesticide compounds, portability issues, and detection efficiency, this paper introduces SpeedPest. A wireless and battery-free electrochemical tag that integrates the advantages of NFC technology with electrochemical biosensors for portable, high-accuracy, and fast multi-pesticide detection. The basic idea of SpeedPest is comparing the distinct electrochemical responses between a pair of biological receptors and different pesticides to construct a unique set of feature fingerprints to make multi-pesticide sensing feasible. To incorporate this idea within small NFC tags, we reengineer the electrochemical sensor, spanning the antenna to the voltage regulator. Additionally, to improve the system's sensitivity and detection efficiency, we design electrode superimposed noise removal method and fast pesticide detection algorithm. Experiments with six different pesticides demonstrate that SpeedPest achieves an average accuracy of 97.78% in overall detection and 100% accuracy in concentration detection across all tested samples. Its sensitivity and rapid response remarkably outperform current state-of-the-art methods.

Original languageEnglish
Pages (from-to)5053-5065
Number of pages13
JournalIEEE Transactions on Networking
Volume34
DOIs
StatePublished - 2026

Keywords

  • electrochemical measurement
  • embedded systems
  • NFC
  • pesticide sensing

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