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Practice abstract 2: Automated molecular diagnostic platforms for pests and pathogens

  • Writer: Angeliki Milioti
    Angeliki Milioti
  • Aug 24
  • 1 min read

Updated: Aug 25

A new easy-to-use tool is being developed to help farmers and plant health authorities quickly detect harmful pests, the viruses they may carry, and signs of resistance to pesticides—all directly in the field. The system uses “pill”-shaped pellets that contain all the necessary chemicals in a freeze-dried form. There’s no need for complicated lab work like DNA extraction. Farmers or technicians just need to add a sample of insects (like mites, thrips, whiteflies, aphids, mealybugs, or psyllids) to the reaction tube, and results are ready quickly using a small, portable device.The same tests can also be used in advanced labs for high-sensitivity results, allowing policy-makers and scientists to confirm findings and monitor resistance on a larger scale.For plant viruses, another part of the platform uses a compact device (qcLAMP) that can detect viruses in crops like tomatoes (e.g., TYLCV, TSWV, ToBRFV) and grapevines (e.g., GFLV, ArMV, GRBV). Users simply place a small leaf piece into a reaction tube—no training required. Results appear automatically on a tablet or smartphone, and data can be saved or shared instantly for early warning and coordinated action. This technology makes on-the-spot diagnosis possible, saving time and helping reduce crop losses. It will support smarter pest control decisions, improve pesticide use, and strengthen surveillance and response systems. Field testing with farmers and plant health services will ensure it meets real-world needs, with the goal of bringing it to market soon (Technology Readiness Level 7).



 
 
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Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Executive Agency (REA). Neither the European Union nor the granting authority can be held responsible for them.

This work also received funding from UK Research and Innovation (UKRI) under the UK government’s Horizon Europe funding Guarantee, grant number 10091427.

This work was supported by the Government of Canada through the Genomic Applications Partnership Program (GAPP) (OGI-229).

Project coordination

Prof. John Vontas

vontas@imbb.forth.gr

Foundation for Research and Technology-Hellas (FORTH)

Project communication

MSc Angeliki Milioti

angeliki@smartagrohub.gr

Smart Agro Hub

Project Framework

This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement 101136611. Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Executive Agency (REA). Neither the European Union nor the granting authority can be held responsible for them.

This work also received funding from UK Research and Innovation (UKRI) under the UK government’s Horizon Europe funding Guarantee, grant number 10091427.

This work was also supported by the Government of Canada through the Genomic Applications Partnership Program (GAPP) (OGI-229).

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