Descripción del proyecto
Utilización de ciclos DBTL biointeligentes para mejorar las pruebas de innovación
Una economía circular sostenible puede proteger el medio ambiente y mitigar los efectos del cambio climático al reducir los residuos y las emisiones de gases de efecto invernadero. En un planteamiento de bioeconomía circular los sustratos sostenibles se convierten en bioprocesos para proporcionar una serie de innovaciones. Sin embargo, las pruebas en condiciones industriales de las tecnologías de biología sintética siguen resultando difíciles, por lo que muchas innovaciones no llegan a comercializarse. El equipo del proyecto BIOS, financiado con fondos europeos, abordará este reto introduciendo un ciclo biointeligente de diseño-construcción-prueba-aprendizaje (DBTL, por sus siglas en inglés) para madurar nuevas innovaciones en biología sintética. Utilizará una combinación de tecnologías y metodologías biológicas y mecánicas para que llegar a la fase final sea más eficaz y fácil.
Objetivo
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.
Ámbito científico
- 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
Palabras clave
Programa(s)
Convocatoria de propuestas
HORIZON-CL4-2021-DIGITAL-EMERGING-01
Consulte otros proyectos de esta convocatoriaRégimen de financiación
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinador
70174 Stuttgart
Alemania