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AI-BioSense: Quality monitoring along the food process chain using biosensors and artificial intelligence

Project: Projects with Federal FundingFederal Funding: BMLEH (Agriculture, Food and Regional Identity)

Project Details

Description

Throughout the supply chain, storage conditions influence the quality of the food sold to consumers. In the case of fish, higher-than-recommended storage temperatures can cause the fish to deteriorate faster than expected. An innovative way to assess fish freshness would be to check the contents of the packaging for chemical components that indicate the fish's quality. The AI-BioSense project is solving this problem with the help of intelligent food packaging and artificial intelligence. In addition to the amine sensor, additional sensors for oxygen, temperature, and pH are used to predict freshness. These sensors reconstruct the product's history throughout the supply chain and thus predict its future freshness. A sensor film has been developed that changes color from green to red when the fish in the packaging goes bad.
Statusfinished
Effective start/end date01.12.2031.05.24

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  3. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

Funding Institution

  • Federal Institutions

Research Areas and Centers

  • Academic Focus: Biomedical Engineering
  • Centers: Center for Artificial Intelligence Luebeck (ZKIL)

DFG Research Classification Scheme

  • 4.41-04 Traffic and Transport Systems, Intelligent and automated Traffic
  • 2.22-32 Medical Physics, Biomedical Technology

ASJC Subject Areas

  • Biotechnology
  • Biomedical Engineering

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