Please provide some basic information about your process setup below. Parameters in the left column are shared by both stages. Parameters in the right column are specific to each stage. Any parameter not provided for the second stage specifically will be assumed to be the same as in the first stage.
Some of these parameters are determined by your experimental setup (e.g. \(V_\textrm{max}\)). Others can be found in the literature (e.g. \(\rho\) for your production organism) and some need to be estimated from experimental data (usually the specific productivities \(\pi_0\) and \(\pi_1\)). Tutorials on how to do this can be found on github.
Please see also the info panel for more details regarding the underlying assumptions etc.
\(V_\textrm{max}\) - \(V_\textrm{batch}\) is the volume of medium added during the feed phase. Three feed strategies are considered:
For linear and exponential feed, the initial feed rate \(F_0\) is chosen such that the total amount of biomass also increases linearly or exponentially (taking substrate requirements for product formation and maintenance into account).
For optimizing the exponential feed, specific growth rates up to \(\mu_\textrm{max}^{F,\textrm{exp}}\) are considered. The parameters \(\mu_\textrm{max}^\textrm{phys}\) and \(F_\textrm{max}\) are used to ensure that neither the maximum physiological growth rate of the organism nor the maximum feed rate of the reactor are exceeded by any feed strategy.
Maximum available volume in the reactor
Substrate concentration in the feed
Maximum specific growth rate to consider when optimizing exponential feed
Maximum feed rate of the reactor
The batch phase is assumed to have already been passed and won't be optimized.
Fluid volume in the reactor at the end of the batch phase
Biomass concentration at the end of the batch phase
These parameters (yield coefficients and specific ATP consumption and product formation rates) can change between the two stages and make up the specific substrate consumption rate according to
\( \sigma = \frac{\mu}{Y_{X/S}} + \frac{\pi_0 + \mu \pi_1}{Y_{P/S}} + \frac{\rho}{Y_{ATP/S}} \) .
As there is no growth in the second stage, some of these are only available for the first stage.
Maximum specific growth rate (physiological)
Yield coefficients of biomass, product, and ATP (in grams per gram substrate consumed).
Maintenance factor (specific ATP consumption rate)
Non-growth-associated specific product formation rate
Growth-associated specific product formation rate
These parameters (yield coefficients and specific ATP consumption and product formation rates) can change between the two stages and make up the specific substrate consumption rate according to
\( \sigma = \frac{\mu}{Y_{X/S}} + \frac{\pi_0 + \mu \pi_1}{Y_{P/S}} + \frac{\rho}{Y_{ATP/S}} \) .
As there is no growth in the second stage, some of these are only available for the first stage.
Yield coefficients of biomass, product, and ATP (in grams per gram substrate consumed).
Maintenance factor (specific ATP consumption rate)
Non-growth-associated specific product formation rate
The aim of this web tool is to explore the design space of fed-batch fermentations with a growth-arrested second stage. The feed profile of the first stage is either constant, linear, or exponential. During the second, growth-arrested, stage, the feed rate is kept constant (at a value determined by the maintenance coefficient \(\rho\) and growth-independent production rate \(\pi_0\)).
The tunable variables for the process design are:
Outputs include visualizations of how the average volumetric productivity (also called space-time yield) and the final product titer relate to these parameters.
Thanks to analytical solutions for the calculation of biomass and product formation in the first stage, the whole design space can be evaluated with a brute force approach in little time. The assumptions that those analytical formulas rely upon are usually satisfied in microbial fed-batch settings with a growth-arrested second stage (for details on assumptions see below).
One crucial aspect to note is that we assume no growth in the second stage with the feed rate held constant at the exact value that satisfies the substrate requirements for maintenance and product formation (i.e. the best case scenario).