ProjectAI-enabled, novel, reagentless analytical method for monitoring contaminants in edible oils and rapid quality…
Basic data
Title:
AI-enabled, novel, reagentless analytical method for monitoring contaminants in edible oils and rapid quality assessment
Duration:
01/04/2023 to 31/03/2025
Abstract / short description:
The objective of the research project is the development of a novel, reagentless, AI-enabled analytical method for safety and quality assessment of edible oils. It will be based on a combination between micro gas sensors array and deep learning algorithms.
Involved staff
Managers
Institute of Physical Chemistry (IPTC)
Department of Chemistry, Faculty of Science
Department of Chemistry, Faculty of Science
Local organizational units
Institute of Physical Chemistry (IPTC)
Department of Chemistry
Faculty of Science
Faculty of Science
Funders
Bonn, Nordrhein-Westfalen, Germany