A cutting-edge solution integrating test kit imaging, hyperspectral analysis, and optional metal detection to identify chemical and physical contaminants in food, ensuring safety and compliance with industry standards.
Enhancing food safety and compliance with industry standards is crucial in today's food production environments. This innovative solution integrates test kit imaging, hyperspectral analysis, and optional metal detection to provide a comprehensive system for identifying and quantifying both chemical and physical contaminants in food products. By utilizing color-calibrated imaging of diagnostic test kits, the system precisely quantifies chemical contaminants. Hyperspectral imaging in the near-infrared spectrum allows for effective differentiation of plastic contaminants, while the optional addition of metal detection ensures the removal of hazardous metallic particles.
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Development Milestones:
This solution is currently at Technology Readiness Level 3, indicating that it is in the active research and development phase with ongoing model validation and integration.
Friedrich‑Alexander‑Universität Erlangen‑Nürnberg (FAU) is a large, comprehensive public research university spanning campuses in Erlangen and Nuremberg and known for strong university–industry collaboration. Its location places faculty and students next to national research institutes and corporate R&D sites, including Fraunhofer IIS/IISB and Siemens Healthineers’ global headquarters. Integration with Universitätsklinikum Erlangen supports clinical studies, real‑world evidence generation, and regulatory pathways. Corporate engagement is supported by shared labs, contract research frameworks, and matchmaking via FAU’s Office of Knowledge and Technology Transfer. Research is backed by competitive funding from the DFG, BMBF, EU programs, and Bavarian initiatives.