Description du projet
Utilisation de cycles DBTL bio-intelligents pour améliorer les tests d’innovation
Une économie circulaire durable peut protéger l’environnement et atténuer les effets du changement climatique en réduisant les déchets et les émissions de gaz à effet de serre. Une approche de bioéconomie circulaire convertit les substrats durables en bioprocédés pour fournir toute une série d’innovations. Il reste toutefois encore difficile de tester les solutions de biologie synthétique dans des conditions industrielles, ce qui empêche de nombreuses innovations d’accéder au marché. Le projet BIOS, financé par l’UE, relèvera ce défi en introduisant un cycle de conception-construction-test-apprentissage (DBTL pour «design-build-test-learn») bio-intelligent pour l’affinage de nouvelles innovations en biologie synthétique. Il fera appel à un mélange de technologies et de méthodologies biologiques et mécaniques pour atteindre le stade final de manière plus efficace et plus simple.
Objectif
The usage of fossil resources leading to increasing atmospheric CO2 levels and global climate change should be rapidly replaced by implementing a circular economy. Circular bioeconomy converting sustainable substrates in moderately operating bioprocesses offers a plenitude of solutions. While synthetic biology provides a multitude of tools for strain engineering, their rapid use in hosts for optimal performance under industrial conditions is still challenging. Promising innovations are often trapped in the ‘valley-of-death’ as strain engineering faces a too complex space of putative manipulations. Novel approaches are needed to increase speed and success rate of strain and bioprocess engineering.
The bio-intelligent approach, rigorously applied in BIOS, aims to accelerate and improve the conventional ‘design-build-test-learn’ (DBTL) cycle for strain and bioprocess engineering. Interdisciplinary collaboration will bridge microbiology, molecular biology, biochemical engineering with informatics, automation engineering, and mechanical engineering. Novel innovative metrics, biosensors, and bioactuators are developed for bi-directionally communication at biological-technical interfaces. Digital twins are created mimicking cellular and process levels. Integrating AI not only improves prediction quality but also enables hybrid learning, the key reason to increase speed and success rate in the novel bio-intelligent DBTL cycle (biDBTL). The power of biDBTL will be showcased by creating P. putida producer strains for terpenes, polyolefines, and methylacrylate. All are highly attractive products with a high potential for reducing anthropogenic greenhouse footprint. BIOS will open the door to a de-centralized, networked collaboration for strain and process engineering that efficiently links individual expertise for the sake of a symbiotic and rapid progress. BIOS also paves the way to de-centralized bio-manufacturing by implementing autonomous, self-controlled bioprocesses.
Champ scientifique
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsbiosensors
- engineering and technologychemical engineeringbiochemical engineering
- natural sciencesbiological sciencessynthetic biology
- engineering and technologymechanical engineering
- social scienceseconomics and businesseconomicssustainable economy
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HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinateur
70174 Stuttgart
Allemagne