Imagine trying to bake a perfect cake but having to guess the ingredients and temperature thousands of times. This project builds a smart 'digital twin' and a robotic kitchen that predicts the best recipe for microbes to make chemicals. It replaces slow trial-and-error with a fast, automated loop that tells the bacteria exactly how to behave.
Traditional strain engineering is too slow and relies on trial-and-error, causing promising bio-based products to fail before reaching the market. This creates a bottleneck in replacing fossil-fuel chemicals with sustainable alternatives.
An automated transformation platform and a microfluidic system with electrodes and pumps for microbe electroporation. They also created AI-powered digital twins of P. putida cells.
If you are a fragrance manufacturer dealing with high costs of fossil-based raw materials — this project developed P. putida producer strains that create terpenes from sustainable substrates. This allows for a shift toward a circular bioeconomy.
If you are a plastic producer dealing with carbon footprint regulations — this project developed a bio-intelligent DBTL cycle to create renewable-based polyesters. This reduces the reliance on fossil fuels for plastic production.
If you are a chemical plant dealing with inefficient strain engineering for methylacrylate — this project developed an automated transformation platform. This speeds up the time it takes to move a lab discovery into a production-ready microbe.
Based on available project data, specific pricing or implementation costs are not provided.
The project focuses on creating strains that perform under industrial conditions and aims to pave the way for decentralized, self-controlled bioprocesses.
Based on available project data, specific licensing terms are not mentioned, though the consortium includes 3 industry partners and 2 SMEs.
It integrates via a microfluidic system with electrodes and pumps that allows for automated electroporation of microbes in microtiter plates.
The project period runs from 2022-10-01 to 2026-09-30, suggesting the tools are currently in development and testing phases.
The consortium is well-balanced for technology transfer, featuring a 33% industry ratio with 3 industrial partners and 2 SMEs. With 9 partners across 6 countries, the project blends academic research from 3 universities and 3 research institutes with commercial application, reducing the risk of the 'valley-of-death' for these bio-manufacturing tools.
University of Stuttgart
Contact us to connect with the BIOS consortium for licensing the automated transformation platform.
