SOURCE-LINKED INTELLIGENCE
Enhancing Bioavailability of Beneficial Polyphenolic Compounds in Food via Advanced Materials Engineering
, SEM imaging, and nanomechanics will provide insights into structure, stability, and PC release in vitro. To optimize layer composition efficiently, we will integrate robot-aided experimentation and machine learning. These efforts will culminate in developing a Material Acceleration Platform, a versatile methodology for designing polyphenolic compound delivery systems for food applications. To achieve these objectives, the Researcher will be provided training-through-research in a broad spectrum of preparation and characterization techniques aimed at layer-by-layer systems and data-driven experimentation approaches such as the Design of Experiments and Bayesian optimization. Polyphenolic compounds, encapsulation, structure engineering, materials acceleration platform, machine learning
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 181152.96
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T02:21:08.944Z. This is not the publication date.