Litcius/Paper detail

Substantial gradient mitigation in simulated large‐scale bioreactors by optimally placed multiple feed points

Pauli Losoi, Jukka Konttinen, Ville Santala

2022Biotechnology and Bioengineering10 citationsDOIOpen Access PDF

Abstract

Abstract The performance of large‐scale stirred tank and bubble column bioreactors is often hindered by insufficient macromixing of feeds, leading to heterogeneities in pH, substrate, and oxygen, which complicates process scale‐up. Appropriate feed placement or the use of multiple feed points could improve mixing. Here, theoretically optimal placement of feed points was derived using one‐dimensional diffusion equations. The utility of optimal multipoint feeds was evaluated with mixing, pH control, and bioreaction simulations using three‐dimensional compartment models of four industrially relevant bioreactors with working volumes ranging from 8 to 237 m 3 . Dividing the vessel axially in equal‐sized compartments and locating a feed point or multiple feed points symmetrically in each compartment reduced the mixing time substantially by more than a minute and mitigated gradients of pH, substrate, and oxygen. Performance of the large‐scale bioreactors was consequently restored to ideal, homogeneous reactor performance: oxygen consumption and biomass yield were recovered and the phenotypical heterogeneity of the biomass population was diminished.

Topics & Concepts

BioreactorMixing (physics)SCALE-UPBiomass (ecology)Substrate (aquarium)Continuous stirred-tank reactorYield (engineering)Process engineeringBubble column reactorDiffusionScale (ratio)PopulationBiological systemPulp and paper industryEnvironmental scienceChemistryBubbleChemical engineeringMechanicsMaterials scienceThermodynamicsBiologyEngineeringEcologyPhysicsSociologyGas bubbleOrganic chemistryMetallurgyDemographyClassical mechanicsQuantum mechanicsBiofuel production and bioconversionViral Infectious Diseases and Gene Expression in InsectsFluid Dynamics and Mixing