SPP 2494 Productive Biofilm Systems
Assessing terpene productivity of Methanosarcina acetivorans biofilms in porous substrata using a mathematical-physiological approach
Abstract
This project will contribute to SPP 2494 by developing a sound basis for the design of scalable bio-rector technologies involving porous structures for the immobilization of productive biofilms. The high surface-to-volume ratio realized in such reactors will be key to yield competitive space-time yields. The methodology will be established for anaerobic carbon monoxide fermentation employing Methanosarcina acetivorans, a genetically tractable microorganism with proven potential for industrial synthesis of chemicals, including terpenes.
A reliably predictable process will be achieved by combining transcriptomic analysis and genetic manipulation, on the one hand, with process engineering methods for monitoring thermodynamic and structural data, on the other hand. The measurements will be consolidated by a scalable 3D numerical approach, involving a computationally efficient pore network model of coupled transport and growth that will be built on the realistic structure of the porous bio-reactors as well as on the physiology of M. acetivorans. Model development will be part of the project and include experiments with continuous flow through microfluidic platforms, enabling the imaging of M. acetivorans growth under well-controlled process conditions inside of a small-scale reactor as well as determination of required model input parameters.
The project aims at maximizing terpene productivity of M. acetivorans biofilms by regulation of biofilm architecture, thickness and turnover rate. This will be realized by adjustment of process settings, involving flow rates, concentration profiles, and spatial and temporal variation of temperature, employing the predictive model. Optimal structure of the substratum, selected based on model predictions as well, will yield high pore utility and long-running maximal biofilm productivity.
Further Information
Partners
Prof. Dr. Michael Rother
Technische Universität DresdenInstitut für MikrobiologieMikrobielle Diversität