The main objective of the INNODETECT project is the creation of a new method for the detection of Listeria monocytogenes in meat processing plants in production lines, through the investigation of in situ sample enrichment techniques, to increase sensitivity and accelerate the detection of the pathogen combined with the collection and analysis of data in the production process areas, optimizing the sampling and cleaning plans that are ordinarily carried out.


  • Characterization of a typical processing plant including the sensorics and massive data processing involved.
  • Investigation of in situ detection by sample concentration enrichment with magnetic particles in a lateral flow immunoassay (LFIA, Lateral Flow Immunoassay) that makes it possible to obtain results faster (in less than 9 hours) than existing systems in the state of the art.
  • Comparative studies of sampling and cleaning plans by zones of the processing plant.
  • Optimization of sampling and cleaning plans through their mapping and characterization with massive analysis and treatment of plant data, achieving a reduction of at least 20% in sampling and 10% in sampling and cleaning times.
  • Testing of the model with the conditions of the processing plant.
  • Analysis from a food safety point of view and dissemination of the results to maximize the impacts of the project.

Financed by: