A research project · Netherlands & Denmark

RECIPE: sustainable, plant-rich meals with high quality protein.

AI-supported meal optimisation for a healthy protein transition in healthcare

RECIPE develops and tests an AI-driven recommender system that helps dietitians and chefs create plant-rich meals that are nutritionally adequate, high in protein quality, palatable and sustainable. The project focuses on healthcare institutions where protein quality is especially important for older adults and patients.

From a meal to an optimised healthcare menu Co-created with chefs and dietitians, and embedded in the Alpha-Tool.
Plant-rich meal
A candidate dish on the menu
AI recommendation
Alpha-Tool: substitutions, taste optimisation & food pairing
Plant-rich meal with high protein quality
LeuLysIleValThrHis
Amino-acid profiling & digestibility
Healthcare menu
Adequate, palatable & sustainable
High protein quality Taste optimisation Sustainability Feasibility Co-creation with chefs & dietitians

The challenge

A transition that has to be done nutritionally well.

Healthcare is moving towards more plant-rich menus. That shift is desirable when it comes to sustainability; the task is to carry it out without losing protein quality where it matters most.

Plant-rich menus are coming

Healthcare institutions are moving towards more sustainable, plant-rich menus.

Protein quality matters

Plant-rich meals can be lower in digestible essential amino acids, which matters for patients and older adults.

Professionals need practical tools

Chefs and dietitians often lack easy-to-use tools that combine and optimise protein quality, taste, feasibility and sustainability.

Our solution

Three layers, working as one tool.

RECIPE combines nutrition science, an AI recommender and real-world testing, building on existing technology rather than starting from a vague AI idea.

Nutrition science

Protein quality, amino acid profiles, digestibility and meal-level optimisation.

AI recommender within the Alpha-Tool

Embedded in the existing Alpha-Tool infrastructure, it generates automated ingredient substitutions that account for protein quality, flavour-based food pairing, sustainability and feasibility.

Food pairing science

Flavour-based food pairing to keep optimised plant-rich meals palatable and appealing.

What we will deliver

Concrete outputs for science and practice.

Project structure

Three work packages.

WP1 · Recommender system

Building & piloting the engine

Lead: University of Copenhagen

Development and pilot testing of the AI recommender system with chefs and dietitians.

WP2 · Evaluation & implementation

Testing in the real world

Lead: Wageningen University

Evaluation in healthcare institutions, database development and project coordination.

WP3 · Education & dissemination

Sharing knowledge widely

Lead: WUR Continuing Education / WUR · Fork Ranger

Accredited education, workshops, social media communication and public dissemination.

Where RECIPE will be tested

Across the Netherlands and Denmark.

Evaluation and implementation with healthcare institutions, including hospitals and elderly care organisations.

🇳🇱
Netherlands
Hospitals & elderly care organisations
🇩🇰
Denmark
Hospitals & healthcare catering

We are actively looking for healthcare institutions in NL and DK to take part in evaluation and implementation. If your organisation is interested, we'd love to hear from you.

Take part in RECIPE
50+
The project aims to evaluate the recommender system with more than 50 healthcare institutions.
An ambition, not yet a status

The consortium

An international collaboration.

RECIPE brings together universities, hospitals, caterers, food companies and data organisations across the Netherlands and Denmark.

Wageningen University & Research WUR Continuing Education University of Copenhagen Fork Ranger AMS Institute Food Pioneers AMSTA Alliantie Voeding in de Zorg Dijklander ziekenhuis Bispebjerg Hospital Aalborg University Hospital GS1 Denmark Greendish Unilever Sodexo

News & updates

Following the project as it unfolds.

The website is also a dissemination channel. We'll post project milestones and, twice a year, social media updates via Fork Ranger.

Milestone

Project awarded

Short announcement that the RECIPE project has been funded and is starting.

Placeholder
Update

Consortium kick-off

Photo and a short update from the first consortium meeting, once available.

Placeholder
Coming later

Recruitment & participation

A call for healthcare institutions, dietitians or chefs to take part.

Placeholder

For healthcare professionals

Are you a dietitian, chef, menu planner or foodservice professional working in healthcare?

RECIPE will involve professionals in usability testing, workshops and evaluation studies. Interested in learning more or participating?

Project lead

Dr. Pol Grootswagers
Wageningen University & Research
pol.grootswagers@wur.nl

Project coordinator

Dr. Jacintha Domić
Wageningen University & Research
Jacintha.Domic@wur.nl

Danish contact

Prof. Inge Tetens
University of Copenhagen

RECIPE is a public-private partnership project supported through TKI Agri & Food / KIA-LWV and AgriFoodTure Denmark.

Dit project ontvangt financiële steun van TKI-Agri&Food. Binnen TKI-Agri&Food werken bedrijfsleven, kennisinstellingen en de overheid samen aan innovaties voor veilig en gezond voedsel voor 9 miljard mensen in een veerkrachtige wereld.

TKI Agri & Food project number: LWV25075

Funded & supported by

TKI Agri & Food
Food & Bio Cluster Denmark
Innovation Fund Denmark
RECIPE
© 2026 RECIPE consortium · Recommender Engine for Complete Individualised Plant-rich Eating