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Reaction Engineering

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Title: Reaction Engineering


1
Reaction Engineering
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Batch culture exponential phase (balanced growth)
Max growth rate -gt smallest doubling time
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Michaelis Menten Kinetics
  • Used when microbe population is constant
    non-growing (or short time spans)
  • Derivable from first principles
    (enzyme-substrate binding rates and equilibria
    expressions)
  • Parameter determination methods used for Monod
    calculations (i.e. Lineweaver Burke)

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Monod Growth Kinetics
  • Relates specific growth rate, m, to substrate
    concentration
  • Empirical---no theoretical basisit just fits!
  • Have to determine mmax and Ks in the lab
  • Each m is determined for a different starting S

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Michaelis Menten vs. Monod
  • Michaelis Menten
  • Kinetic expression derived (theoretical)
  • Constant enzyme pool
  • Free enzymes
  • Non-growing microbes
  • v vs. S where v is velocity
  • Km is half saturation constant
  • Monod
  • Empirical expression
  • Growth
  • Enzyme concentration increases with time
  • Relates microbial growth rate constant to S
  • µ vs S
  • Ks is half saturation constant

9
Michaelis Menten vs. Monod
  • Parameters (vmax or µmax Ks or Km) are
    determined by linearization (e.g. Lineweaver
    Burke model) or nonlinear curve fitting.
  • Relationship between dependent variable and S
    determined experimentally, in the lab
  • Range of S
  • Set conditions (T, chemistry, enzyme or microbe)
  • Measure the v or µ for each S
  • Plot v or µ vs. S analyze data for parameter
    estimation

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Determining Monod parameters
  • Double reciprocal plot (Lineweaver Burke)
  • Commonly used
  • Caution that data spread are often insufficient
  • Other linearization (Eadie Hofstee)
  • Less used, better data spread
  • Non-linear curve fitting
  • More computationally intensive
  • Progress-curve analysis (for substrate
    depletion)
  • Less lab work (1 curve), more uncertainty

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Where Monod Growth Kinetics Applies
It applies where µ ? 0 -gt exponential growth (µ
µmax ) transition into stationary
  • KS is the half-saturation coefficient mg/L

Monod kinetics -gt Substrate depletion
kinetics
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Substrate Depletion Kinetics
  • Since
  • And

  • Monod applies!!
  • Then
  • And

Y Yield coefficients
Where k
  • k is the maximum substrate utilization rate
    sec-1
  • KS is the half-saturation coefficient mg/L

13
Substrate Depletion Kinetics
  • Substrate consumption rates have often been
    described using Monod kinetics
  • -gt Substrate controls
  • growth Kinetics
  • S is the substrate concentration mg/L
  • X is the biomass concentration mg/ L
  • k is the maximum substrate utilization rate
    sec-1
  • KS is the half-saturation coefficient mg/L

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Stoichiometric Coefficients for Growth
Yield coefficients, Y, are defined based on the
amount of consumption of another material.
Because ?S changes with growth condition, YX/S is
not a constant
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Monod Growth Kinetics
mixed order
S gtgt KS
S ltlt KS
1
3
2
mmax
m, 1/hr
S, mg/L
Expontential growth µ µmax
Stationary phase µ 0
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Depletion Kinetics
  • 1. Zero-order region, S gtgt KS, the equation can
    be approximated by µ µmax
  • -gt exponential growth
  • 2. Center region, Monod mixed order kinetics
    must be used -gt transition from exponential
    growth to stationary growth caused by S
    limitation
  • 3. First-order region, S ltlt KS, the equation can
    be approximated as
  • µ µmaxS/Ks
  • -gt transition from exponential growth to
    stationary growth caused by S limitation
  • Just before stationary phase starts (stationary
    phase µ 0)

mixed order
S gtgt KS
S ltlt KS
1
3
2
mmax
m, 1/hr
S, mg/L
  • k is the maximum substrate utilization rate
    sec-1
  • KS is the half-saturation coefficient mg/L

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Modeling Substrate Depletion
  • Three common assumptions
  • Monod kinetics applies (mid range
    concentrations)
  • -gt Substrate depletion kinetics
  • First-order decay (low concentration of S,
    applicable to many natural systems)
  • Zero-order decay (substrate saturated) µ µmax
  • -gt exponential growth

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Growth and Production Kinetic
  • Cellular growth rate
  • Monod approximation
  • Yield factor
  • Substrate Utilization
  • Product Formation
  • (Beginning of Stationary Phase)

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Factors Determining Kinetics
  • Rate per microbe, which depends on
  • Species
  • Substrates
  • Environmental factors
  • Total numbers of microbes

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Quantification of Microbes in the Environment
  • Culture-based (limited 2000 species vs. 13,000
    species of bacteria in soil by DNA-based methods
  • Counting colony forming units (CFUs)
  • Activity assays need cell or biomass count to
    normalize
  • Culture-independent
  • Direct Counts
  • General fluorescent stain, like acridine orange
    or SYBR gold
  • Counting cells in FISH assay
  • Biomass assays
  • Quantification of an element like C or N
  • Chloroform fumigation / incubation or direct
    extraction
  • Total protein or DNA

21
Fermentation Technology
-gt Why is it important to know the kinetics of
the reaction in the fermenter?
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Fermentation Technology
-gt What is going on in a fermenter? -gt How to
control the process in a fermenter?
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Stochiometric Coefficients
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Mass Balance
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Rates (Kinetics) and Balances
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Example
-gt Too complex !!!!
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  • -gt Blackbox effect

substrates cells ? extracellular products
more cells ( ?S X ? ?P
nX)
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Model to describe what is going on in a
Bio-reactor
Monods model -gt S depletion
  • Mass balance depentend on reactor type -gt S, P,
    X
  • Growth Kinetics -gt Monod model (substrate
    depleting model)
  • -gt Describes what happens in the reactor in
    steady state (constant conditions)

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Primary metabolic products
Secondary metabolic products
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Microbial Products
1. Growth associated products products
appear simultaneoulsy with cells in culture
qp is the specific rate of product formation (mg
product per g biomas per hours
2. Non-growth associated products products
appear during stationary phase of batch growth
3. Mixed-growth associated products
products appear during slow growth and stationary
phase
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Biotechnological processes of growing
microorganisms in a bioreactor
Mass Balance Fin Fout 0
Fin ? 0 Fout 0 Fin Fout ?
0 V
const. V increases
V const.
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Batch Reactor
?Closed ?Well-mixed ?Constant volume -gt substrate
growth limiting factor
Mass Balance
Verbal In Out Reaction Accumulation
Math 0 0 rV ?t ?X V
Rearrange r V ?X/?t
V -gt Substrate concentration controls growth
rate
Growth
Growth
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Growth and Production Kinetic in Batch
  • Cellular growth rate
  • Monod approximation
  • Yield factor
  • Substrate Utilization
  • Product Formation
  • (Beginning of Stationary Phase)

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Biotechnological processes of growing
microorganisms in a bioreactor
Mass Balance Fin Fout 0
Fin ? 0 Fout 0 Fin Fout ?
0 V
const. V increases
V const.
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