| Time (h) | Feed Rate (mL/h) | Broth Vol (L) | Biomass (g/L) | Glucose Fed (g) |
|---|
Calculated feed rate trajectory F(t) seamlessly drives continuous substrate delivery in Bioreactor 3D Simulator & Digital Twin (Step 7).
Step 6 of 7: Design exponential and constant nutrient feed trajectories $F(t)$ to sustain high cell densities without overflow metabolites. • 100% Free & Open Access.
| Time (h) | Feed Rate (mL/h) | Broth Vol (L) | Biomass (g/L) | Glucose Fed (g) |
|---|
Fed-batch fermentation is the gold-standard production mode for therapeutic proteins, recombinant enzymes, and industrial biochemicals. By feeding concentrated carbon substrate incrementally, high cell densities ($>100 ext{ g/L CDW}$) are achieved without accumulating toxic fermentative byproducts (acetate in E. coli, ethanol in yeast).
An exponential feeding trajectory maintains a constant specific growth rate ($\mu_{ ext{set}} < \mu_{ ext{crit}}$) below the overflow threshold:
| Feeding Regime | Growth Rate Behavior | Byproduct Risk | Industrial Use Case |
|---|---|---|---|
| Exponential Feed | Constant (μ = μ_set) | Low (Controlled below μ_crit) | Recombinant protein expression |
| Linear Feed | Decaying (μ decreases with t) | Very Low | Secondary metabolite synthesis |
| DO-Stat Feeding | Feedback-driven (DO spikes trigger pump) | Zero Overflow | Automated high-density fermentation |
| pH-Stat Feeding | Feedback-driven (pH shifts trigger pump) | Low | Acetate/lactate consumption cycles |
This calculator is maintained by the simulation engineers at BioFlo Bioprocess Engineering. We specialize in industrial bioreactor design, computational fluid dynamics (CFD) modeling, oxygen mass transfer optimization, and custom digital twin development for pharmaceutical fermentation plants.