Project Details
Description
With pressing climate change consequences, more sustainable ways of producing foods are investigated. Processed foods require texturizing ingredients. These are produced conventionally using a lot of resources. Milder fractionation methods like dry fractionation can be employed, which uses substantially fewer resources. However, these milder refined ingredients are less pure and therefore more complex to apply in food products. This project aims at showing that milder refined ingredients can still reduce the environmental impact of food products while being complex to understand.
| Status | Finished |
|---|---|
| Effective start/end date | 4/03/19 → 12/05/23 |
Fingerprint
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Research output
- 1 internal PhD, WU
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Functionality-driven food formulation : reducing the environmental impact using machine learning
Lie-Piang, A., 12 May 2023, Wageningen: Wageningen University. 197 p.Research output: Thesis › internal PhD, WU
Open Access
Press/Media
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More sustainable food by thinking about ‘spreadability’
Lie-Piang, A.
29/06/23 → 30/06/23
2 Media contributions
Press/Media: Expert Comment › Professional