FOODSENS - Fast detection of contaminants and adulteration in raw milk using dip-stick nanophotonic sensors

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Coordinator YIOTIS SA
Start date 29/10/2020
Expiration date 28/10/2023
Duration 36Μ
Total budget €999,159.20
Related URL
  • ThetaMetrisis
  • SEVT (Federation of Hellenic Food Industries)
  • FORTH/PRAXI Network
  • NCSR "Demokritos"
  • Agricultural University of Athens

The aim of the project is to develop a tool which will meet the urgent need of the food industry to compress the time between sampling and result but also the cost of analyzes. More specifically, the main objectives are the detection of AFM1 and adulteration of sheep and goats with cow’s milk at its collection points and the detection of Bacillus cereus and Listeria monocytogenes in less than 10 min if the samples have loads> 100 cfu/mL and up to 6 hours for very low or zero loads.