Descrizione del progetto
Utilizzare cicli bio-intelligenti di progettazione-costruzione-test-apprendimento per test di innovazione migliori
Un’economia circolare sostenibile può proteggere l’ambiente e mitigare le ripercussioni dei cambiamenti climatici riducendo i rifiuti e le emissioni di gas a effetto serra. Un approccio di bioeconomia circolare converte substrati sostenibili in bioprocessi per fornire un’ampia gamma di innovazioni. Tuttavia il collaudo di soluzioni di biologia sintetica in condizioni industriali si dimostra ancora difficoltoso, motivo per cui molte innovazioni non riescono ad arrivare sul mercato. Il progetto BIOS, finanziato dall’UE, affronterà questa sfida introducendo un ciclo bio-intelligente di progettazione-costruzione-test-apprendimento per la maturazione di nuove innovazioni nel campo della biologia sintetica. Avvalendosi di una combinazione di tecnologie e metodologie biologiche e meccaniche, farà sì che il conseguimento della fase finale sia più efficiente e semplice.
Obiettivo
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.
Campo scientifico
- 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
Parole chiave
Programma(i)
Argomento(i)
Invito a presentare proposte
HORIZON-CL4-2021-DIGITAL-EMERGING-01
Vedi altri progetti per questo bandoMeccanismo di finanziamento
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinatore
70174 Stuttgart
Germania