introduction to bioreactors l.
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Introduction to Bioreactors. Biochemical Reactor. A device in which living cells or enzyme systems are used to promote biochemical transformation of matter Uses: pharmaceutical industries Chemical industry Waste treatment Biomedical applications. 2 types:.

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biochemical reactor
Biochemical Reactor
  • A device in which living cells or enzyme systems are used to promote biochemical transformation of matter
  • Uses:
    • pharmaceutical industries
    • Chemical industry
    • Waste treatment
    • Biomedical applications
2 types
2 types:
  • Microbial fermenter- cell growth is used to produce metabolites, biomass, transformed substrates, or purified solvents
  • Enzyme reactors (cell free)- immobilized enzymes often used for fluid-fluid and solid-fluid contractors
designing a bioreactor
Designing a bioreactor:
  • The coupled set of mass balance equations which describe the conversion of reactants to products
  • Ex: Substrate S is converted to cells (X) and Product (P).
    • Growth of cells… (dX/dT)V = (rx)( V)
    • Consumption of substrate… (dS/dT)V = (rs)(V)
    • Product formation… (dP/dT)V = (rp)(V)
constitutive rate expressions for biological processes
Constitutive Rate Expressions for Biological Processes
  • Model of Microbial Growth
    • Segregated- cells are different from one another
    • Non-segregated models lump the population into one biophase interacting with external environment and is one species in solution; they are mathematically simple
      • External environment influences cell response and can confer new growth characteristics on the cell
unstructured growth models
Unstructured Growth Models
  • Simple relationships that describe exponential growth
  • Kinetics of cell growth are described using cell and nutrient concentration profiles
  • Malthus’s simple model: rx = µX where rx is the increase in dry cell weight and µ(hr-1) is a constant.
  • dX/dt = kX(1-βX) was proposed as a cell concentration-dependent inhibition term by Verhulst, Pearl, and Reed.
monod model
Monod Model
  • Developed by Jaques Monod, exemplifies the effect of nutrient concentration based on E. coli growth are various sucrose concentrations and assumes only the limiting substrate is important in determining the rate of cell proliferation
for the monod model
For the Monod Model
  • Cell growth might follow the form

rx = µX = µmaxSX/Ks + S

and batch growth at constant volume

dX/dt = µmaxSX/Ks + S

µmax is max specific growth rate of cells

Ks is value of the limiting nutrient concentration

Two limiting forms:

    • At high substrate concentrations S>>Ks, µ= µmax
    • At low substrate concentrations S<<Ks, µ= µmax/KsS
models of growth and non growth associated product formation
Models of Growth and Non-growth Associated Product Formation
  • Primary metabolites- growth associated; rate of production parallels growth of cell population; Ex: gluconic acid
  • Secondary metabolites- non-growth associated; kinetics do not depend on culture growth rate; Ex: antibiotics, vitamins
  • Intermediate products- partially growth associated; Ex: amino acids, lactic acid
mass transfer in bioreactors
Mass transfer in Bioreactors
  • Possible resistances:
    • In a gas film
    • At the gas-liquid interface
    • In a liquid at the gas-liquid interface
    • In the bulk liquid
    • In a liquid film surrounding the solid
    • At the liquid-solid interface
    • In the solid phase containing the cells
    • At the sites of biochemical reactions
definition of mass transfer coefficient
Definition of Mass Transfer Coefficient
  • Relates transfer rates to concentration terms and is defined as a mass balance for a certain reactant or product species in the reactor…

Na = kLa(Ci x g – CL)

Na= Oxygen transfer rate (through the air bubbles)

CL = local dissolved oxygen concentration in bulk liquid at any time

Cg= oxygen concentration in the liquid at the gas- liquid interface at infinite time

a= interfacial area

kL= local liquid phase mass transfer coefficient

bioreactor types and modes
Bioreactor types and modes

Bubble Columns

Systems with Stationary Internals

The above take on this correlation:

KLa = constant Vns

where n is in the range 0.9-1.0 in the bubble flow regime

Stirred-Tank Reactors

uses this correlation: KLa = (Pg/V)n (VSr)

power requirements
Power Requirements
  • Air-lift Systems
    • The power input through a reactor can be high in larger reactors
    • The power input is estimated as: Pg = GRT ln (P1/P0)
  • Agitated Un-gassed Systems
    • In the turbulent flow regime, P ~ ρn3D5
    • In the laminar flow regime, P ~ 1/ReP ~ µN2D3

where P is proportional to viscosity but independent of density

  • Gassed Systems
    • Power required is less than un-gassed with reduction Pg/P given as PgP = f(NA)
scale up
  • Scale-up methods based on…
    • Fixed power input
    • Fixed mixing time
    • Fixed oxygen transfer coefficient
    • Fixed environment
    • Fixed impeller tip speed
scale up at fixed k l a
Scale-up at fixed KLa
  • It may be impossible to maintain equal volumetric gas flow rates since the linear velocity through the vessel will increase differently with the scale
  • It may be possible to decrease the volume of gas per volume of liquid per minute on scale-up while increasing power input by changing reactor geometry and power input per unit volume
scale up on flow basis
Scale-up on Flow Basis
  • Design based on constant input of agitator power per unit reactor volume : P1/V1 = P2/V2
  • For constant power input in vessels that are geometrically similar

ρN31D51/V1 = ρN32D52/V2

which becomes: N2 = N1 = (V2/V1)1/3(D1/D2)5/3