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The end user sensor tree: An end-user friendly sensor database.

J L D Nelis1, A S Tsagkaris2, Y Zhao3

  • 1Institute for Global Food Security, School of Biological Sciences, Queen's University, David Keir Building, Stranmillis Road, Belfast BT9 5AG, UK.

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Summary
This summary is machine-generated.

The End user Sensor Tree (TEST) platform integrates over 900 sensor-based methods for detecting food contaminants. It offers expert feedback via a decision tree, addressing the gap between research and commercial application.

Keywords:
DatabaseFood contaminantsPesticidesRepositorySensorsToxins

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Area of Science:

  • Analytical Chemistry
  • Food Science
  • Sensor Technology

Background:

  • Sensor-based technologies for food contamination detection are fragmented in literature and commercial kits.
  • This fragmentation hinders effective communication between technology developers and end-users.
  • A unified platform is needed to consolidate and disseminate this critical information.

Purpose of the Study:

  • To develop The End user Sensor Tree (TEST) platform, an interactive resource for sensor-based food contamination detection methods.
  • To provide end-users with tailored expert feedback through a novel classification system and decision tree.
  • To critically compare available sensors and analyze research and commercial trends.

Main Methods:

  • Systematic retrieval and compilation of over 900 sensor-based methods from scientific literature and commercial sources.
  • Development of a novel classification system for sensor data.
  • Implementation of an online decision tree and database for expert feedback generation.
  • Critical analysis of sensor performance parameters and market landscape.

Main Results:

  • The TEST platform successfully integrates a comprehensive database of sensor methods for detecting aquatic toxins, mycotoxins, pesticides, and microorganisms.
  • A novel classification system and online decision tree provide tailored expert feedback.
  • A critical comparison revealed a significant gap between popular academic sensors (electrochemical, nanomaterial-based) and their commercial uptake.
  • Analysis identified key research pioneers and commercially available products in the field.

Conclusions:

  • The TEST platform effectively bridges the gap between scientific knowledge and end-user needs in food contamination sensor technology.
  • The study highlights the underutilization of advanced sensor technologies in the commercial sector and discusses potential reasons.
  • TEST provides a valuable resource for researchers, industry professionals, and end-users seeking sensor solutions for food safety.