NutriOpt: Digital solutions for nutrient optimization in product development

Kopf, Katrin Annika (9 September 2019). NutriOpt: Digital solutions for nutrient optimization in product development In: NuGOweek 2019, 16th edition : From foodomics to nutrigenomics – Translating food composition data into healthy diets. Bern. 9-12 September 2019.

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The current project NutriOpt offers digital solutions for nutrient optimization in product development. We establish product databases containing plants, plant-based powders, and drinks with decisive information about nutrient composition, bioavailability, antinutrients or inhibitory effects. A mathematical model for mixed integer problems allows to combine different products that are approaching a target vector. The target vector is the recommended nutrient composition for a specific target group. It is possible to select different nutrients or to give them more weight. The models were already applied for plant-based protein alternatives to ensure that the protein requirements for amino acids from WHO are guaranteed. In the future, additional effects of processing will be included to be able to combine products for increased nutritive value. Finally, we will like to develop a user-friendly WEB-Software for the operations.

Item Type:

Conference or Workshop Item (Poster)

Division/Institute:

School of Agricultural, Forest and Food Sciences HAFL
School of Agricultural, Forest and Food Sciences HAFL > Consumer-focused food production
School of Agricultural, Forest and Food Sciences HAFL > Consumer-focused food production > Food Process Technology and Sustainable Innovation

Name:

Kopf, Katrin Annika0000-0002-7443-7489;
Probst, Stefan0000-0003-4703-8789 and
Robyr, Roger

Subjects:

T Technology > T Technology (General)

Language:

English

Submitter:

Katrin Annika Kopf

Date Deposited:

24 Nov 2020 12:42

Last Modified:

24 Nov 2020 12:42

ARBOR DOI:

10.24451/arbor.12367

URI:

https://arbor.bfh.ch/id/eprint/12367

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