In this article, we describe a case study on the storage of polymers by micro-organisms under different temperatures.Read More
ABOUT THIS PLATFORM
The parallel cultivation platform consists of multiple bioreactors units that allow for cultivation and investigation of most chemotrophic and phototrophic microbial communities in extremely well-defined conditions. The flexible arrangement of analytical equipment enables the investigation of virtually all redox conditions of interest in microbial ecology, ranging from aerobic to strictly anaerobic conditions.
The parallel cultivation platform located at Delft University of Technology consists of The flexible arrangement of analytical equipment (see figure) enables the investigation of virtually all redox conditions of interest in microbial ecology, ranging from aerobic to strictly anaerobic conditions. High resolution cultivation and characterization studies are facilitated with non-defined microbial communities (reductionist enrichment approach) as well as defined mixtures of microorganisms (synthetic ecology approach), that typically have been established in the Biodiscovery platform. To our knowledge there is worldwide no other platform that facilitates cultivation and analysis of microbial communities at the scale and resolution of the Parallel Cultivation Platform.
The parallel cultivation platform is specifically suitable for investigating the impact of dynamic process conditions on the functional and molecular development of microbial communities. Dynamic process conditions are typical for many natural and man-made ecosystems (day-night cycles, seasonal variations, variable substrate supply rates etc.) but to date largely unexplored in microbial ecology. Since supply of both gaseous and liquid substrates and removal of effluent is conducted with computer controlled systems, we can impose a wide variation of feeding regimes to the system (see figure). The combination of detailed on-line measurements with a dynamic feeding regime provides an unprecedented high resolution of functional system information, specifically suitable for dynamic process modelling and analysis. This evidently does not mean that bioreactors cannot be operated as chemostat or Sequencing Batch Reactor (SBR), but we have repeatedly demonstrated that inclusion of (periodic) dynamics in operation results in superior systems characterization and process identification (Johnson el al., 2009; Kleerebezem & van Loosdrecht, 2008). Another specific feature included in the experimental setup proposed, is the ability to uncouple the liquid and solid (biomass) retention time in the process through a distinct channel for removal of the mixed fermentation broth and liquid effluent removal via an ultrafiltration (UF) membrane. User-friendly data interpretation software is under development that allows for direct analysis and inter-reactor comparison of all data generated in the experiments.
The parallel cultivation platform consists of temperature controlled stirred bioreactor units that can be operated at 0.5 to 2.0 liter liquid volume, and are equipped with an extensive set of on- and off-line analytical facilities. There are two types of experimental units that are different in terms of the intensity of process analysis:
- The standard experimental setup (30 units) is equipped with on-line analytical equipment: Liquid electrode measurements include pH, Dissolved Oxygen (DO) concentration, Oxidation Reduction Potential (ORP), and ion specific electrode measurements (ISE, not shown). Off-gas analysis after drying of the gas is conducted with a multi-channel Mass Spectrometer (MS).
- The intensive experimental setup (10 units, with extra analytical facilities shown in green) is equipped with an ultrafiltration (UF) sampling unit for a continuous supply of solid-free fermentation broth for periodic sampling and on-line analysis by High Pressure Liquid Chromatrography (HPLC), Gas Chromatography (GC), and/or Ion Chromatography (IC). Liquid samples are available for off-line analysis through a wide range of methods, e.g., ICP-MS, LC-MS, GC-MS.
The standard and intensive experimental setups serve a different experimental objective. The low-maintenance standard experimental setup is specifically suitable for medium to long-term experiments (1 to 12 months) with the objective to identify the functional development of a microbial community in well-defined conditions over many generations. When working with non-defined microbial communities these experiments typically concern microbial competition and succession studies, whereas for defined communities these systems are specifically suitable for directed evolution studies. On-line analysis of crucial process variables via e.g.-gas measurements allow for direct identification of major changes in functional process properties that may suggest that extra analyses are worthwhile to be taken. The intensive experimental setup is more suitable for short-term experiments (1 to 10 weeks) that aim to assess the effect of a specific process variable (e.g. pH, Temperature, influent composition) on the functional and molecular development of a specific microbial community. A high intensity experiment provides a high-resolution comparative analysis of the response of the system to the change imposed through detailed on-line liquid analysis.
Integration of the parallel cultivation platform in the UNLOCK facility enables a direct link with the Wageningen platforms. The Biodiscovery Platform can provide defined synthetic communities, and in combination with the sample processing platform facilitates a wide range of molecular analyses of samples from the parallel cultivation platform. Herewith the link between functional and molecular system properties can be investigated which is of crucial importance for this field of research. The cloud-based FAIR Data Platform facilitates storage and accessibility of both functional and molecular data obtained in the experiments conducted at the parallel cultivation platform. The standard operating procedures (SOPs) used in the various steps of the experiments and the data handling, facilitates inter-experimental comparison of data and simplifies the procedures needed for data analysis and translation of data into knowledge.