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.
| Status | finished |
|---|---|
| Effective start/end date | 01.12.20 → 31.05.24 |
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):
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
Funding Institution
- Federal Institutions
ASJC Subject Areas
- Biotechnology
- Biomedical Engineering
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