Bioproductions
Funded projects
Axis 2 - Understanding and controlling biological systems
CALIBRATE

CALIBRATE

Combining machine learning and high-throughput immobilisation to predict the stability of catalytic biocomposites for hybrid biorefineries

Winning project of the 2025 call for projects.

OBJECTIVE

The CALIBRATE project aims to accelerate the development of hybrid catalysts for biorefineries by combining enzymes and chemical catalysts into efficient and sustainable systems.

APPROACH

CALIBRATE leverages Metal-Organic Frameworks (MOFs) as enzyme supports to:

  • Improve enzyme stability under demanding reaction conditions
  • Design highly active and robust catalytic biocomposites 
     

MOFs are crystalline hybrid materials composed of:

  • Metal nodes
  • Polytopic organic linkers

This architecture provides an extraordinary diversity of structures, topologies, and chemical properties, making MOFs ideal candidates for designing highly active and stable catalytic biocomposites.

The project relies on a high-throughput strategy, including:

  • The creation of diverse enzyme and MOF libraries
  • The evaluation of 10,000 biocomposites
  • The use of data-driven modeling and machine learning tools

IMPACT

CALIBRATE seeks to establish a predictive framework for enzyme–support compatibility, enabling the discovery of next-generation heterogeneous biocatalysts for industrial applications.

Project duration:
2026 - 2030

Scientific supervisor:
Egon HEUSON (UCCS)

Partner institutions

Logo partenaires CALIBRATE.png

Modification date: 11 February 2026 | Publication date: 03 February 2026 | By: B-BEST