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8/7/2019 Chemical Reaction Engineering10_2010
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Reaction Mechanism,Bioreaction and Bioreactors
Lecture 9
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Active Intermediates
Many reaction proceed via formation of active intermediate bycollision or interaction with other molecules
A M A M
+ +
The idea was suggested in 1922 by F.A.Lindermann , acitveintermediates were experimentally observed using
femtosecond spectroscopy by A.Zewail (Nobel Prize 1999)cyclobutane x2 ethylene
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Pseudo Steady-State Hypothesis (PSSH)
Decomposition of the intermediate doesnt occurinstantaneously, activated species have finite life time
Active intermediates react as fast as they are formed, so theirnet rate of formation is zero:
* *1 0
N
A iAir r ==
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Pseudo Steady-State Hypothesis (PSSH)
Gas-phase decomposition of azomethane intoethane and N 2:
( )3 2 2 6 22CH N C H N +
experimentally found to follow 1 st order at pressures above 1atm
2 nd order below 50mmHg
2 6C H AZOr C
2 6
2C H AZOr C
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Pseudo Steady-State Hypothesis (PSSH)
Suggested mechanism:
( ) ( ) ( ) ( )1 *3 2 3 2 3 2 3 22 2 2 2 *AZOk CH N CH N CH N CH N + +
( ) 3 *3 2 2 6 22 * AZOk CH N C H N +
( ) ( ) ( ) ( )2 *
3 2 3 2 3 2 3 22 2 2 2*AZOk
CH N CH N CH N CH N + +
21 * 1 *AZO AZO AZOr k C =
the rate laws
2 * 2 * *AZO AZO AZO AZOr k C C =
3 * 3 * *AZO AZO AZOr k C =
* 1 * 2 * 3 * 0AZO AZO AZO AZOr r r r = + +
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Pseudo Steady-State Hypothesis (PSSH)
solving for C azo* and finding the rate of formation of product:
6
21 3
2 3r
AZOC H
AZO
k k C r
k C k =
+
at low concentrations
6
22 3 1r AZO C H AZO
k C k r k C =
6
1 32 3
2r AZO C H AZO AZO
k k k C k r C kC
k = =
at high concentrations
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Pseudo Steady-State Hypothesis (PSSH)
Experimentally finding the mechanism:
6
21
1r AZO
C H AZO
k C r
k C =
+
Rule of thumb for developing the mechanism: species having the concentration appearing in the denominatorprobably collide with the active intermediate species having the concentration appearing in the numerator probably
produce the active intermediate
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Enzymatic reactions
lower activation energies for enzymatic pathways lead to
enormous enhancement in reaction rates enzymes are highly specific: one enzyme can usually catalyzeonly one type of reaction
enzymes usually work at mild conditions; at extremetemperatures or pH may unfold losing its activity
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Enzymatic reactions
Two models for enzyme-substrate interaction: thelock-and-key and the induced fit :
both the enzyme molecule and thesubstrate molecule are distorted therefor
stressing and weakining the bond forrearrengement
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Enzymatic reactions
There are six classes ofenzymes
1. Oxidoreductases2. Transferases3. Hydrolases
4. Isomerases5. Lyases6. Ligases
2 2AH B E A BH E + + + +AB C E AC B E + + + +
A E isoA E + +
AB E A B E + + +
A B E AB E + + +
2AB H O E AH BOH E + + + +
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Michaelis-Menten equation
kcat (s -1) the turnover number: the number of substratemolecules converted in a given time on a single enzymemolecule when saturated with the substrate
Km (mol/l) Michaelis constant or affinity constant: measure of
attraction of the enzyme to the substrate
( )( )( )cat t
SM
k E Sr
S K =
+
( )
( )
maxS
M
V Sr
S K
=+
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Evaluation of Michaelis-Menten parameters
Michaelis-Menten plot Lineweaver-Burk plot
Hanes-Woolf plotbetter V
Eadie-Hofstee plotdoesnt bias low concentraion oints
( )
( )
maxS
M
V Sr
S K
=+
( )maxS
S M
r r V K
S
=
( )max max1 1 1M S
K r V V S
= +
( )( )max max
1M S
S K Sr V V = +
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Batch reactor calculations
after integration, in terms of conversion
ureaurea
dN r V
dt = urea urea
dC r
dt =
in liquid
max urea
ureaurea M
V C r
C K =
+
0 0
max
urea urea
urea urea
C C
urea urea M
ureaurea ureaC C
dC C K t dC
r V C
+= =
0
max max
1ln
1
ureaM C X K t
V X V
= +( )0 1urea ureaC C X =
combining with the Michaelis-Menten law
mole balance on urea:
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Briggs-Haldane equation
If the reaction of forming the product from the enzyme-substrate complex is reversible
E S E S E P+ + i
The Briggs-Haldane equation can be derived applying PSSHto the enzyme kinetics:
( )maxmax
/ S P C S
S p p
V C C K r
C K K C
=
+ +
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Effect of Temperature
catalytic breakdown of H 2O2 vs temperature
temperature inactivation
due to enzyme denaturation
rise due to Arrhenius law
optimum
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Enzyme inhibition
Competitive: substrate and inhibition competefor the same site on the enzyme
Uncompetitive: inhibitor deactivates enzyme-substrate complex (doesnt allow to form the
product) Noncompetitive : inhibitor attaches to a
different site on the enzyme
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Inhibition of Enzyme reactions Competitive inhibition
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Inhibition of Enzyme reactions Uncompetitive inhibition: inhibitor is forming inactive IES
complex
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Inhibition of Enzyme reactions Non-competitive (mixed) inhibition: inhibitor and the substrates
react with the different sites on the enzyme
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Bioreactors
Cells consume nutrients to grow, to produce more cells andto produce the product in question: (I) fueling reactions (nutrient degradation)
(II) synthesis of small molecules (amino acids) (III) synthesis of large molecules (proteins, DNA, RNA)
Cell growth and division
Advantages of bioconversion: mild reaction conditions high yields approaching 100% stereospecific synthesis
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Bioreactors Growth in the reactor
Substrate More Cells ProductCells +
e.g. CO2, water, proteins etc. Batch bioreactor
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Bioreactors Cell growth in bioreactors
adjusting pathways to the new conditions
exp growth: dividing at max rate
stationary phase: lack of some
nutriotients limits cell growth;many important products (e.g.antibiotics) produced at this phase.
Nutritions required: Carbon source
Nitrogen source Oxygen source Phosphate source .
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Bioreactors: Rate laws
Monod equation
Substrate More Cells ProductCells +
g cr C =
maxs
s s
C K C
=+
Specific growthrate
max s cg
s s
C C r K C
=+
In many systems the product can inhibit cells growth (e.g. winemaking)
max s cg obs
s s
C C r k K C
=+ *
1
n
pobs
p
C k C
= product concentrationwhere metabolism ceases
e.g. glucose-to-ethanol: n=0.5, C p*=93g/l
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Bioreactors: Rate laws Other growth equations:
Tessier equation
Moser equation
max 1 exps
g c
C r C
k
=
( )max
1s c
g
s
C C r
kC =
+
usually give better fit in the beginning and in the end of fermentation
Cell death rate (due to harsh environment, mixingshear forces, local depletion in nutrients, toxic
substances)( )d d t t cr k k C C = +
Temperature effect: similar curve with max
natural death
death due to toxic environment
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Bioreactors: Stoichiometry
Yield coefficient for cells and substrate
Substrate More Cells ProductCells +
/ Mass of new cells formed
Mass of substrate consumedC
c sS
C Y C
= =
Yield coefficient for product in the exponential phase/
Mass of product formedMass of new cells formed
Pp c
C
C Y
C
= =
max/
s cp p c
s s
C C r Y
K C =
+
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Bioreactors: Stoichiometry
Substrate More Cells ProductCells +
Yield coefficient for product in the stationary phase
/
Mass of product formedMass of substrate consumed
Pp s
S
C Y
C
= =
Maintenance utilization term, typically m=0.05 h -1.
sm cr mC =
Usually secondary
nutritient
/ / maintancecells
c s p sS Y C Y P + +
/ / s c s g p s p cr Y r Y r mC = + +
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Bioreactors: Stoichiometry
In the exponential phase we cannot separate substrateconsumption for cell growth and product formation
In stationary phase:
/
/
s s c g c
p g p c
r Y r mC
r r Y
= +
=
/ / maintancecells
c s p sS Y C Y P + +
/ / s c s g p s p cr Y r Y r mC = + +
/ /
p sn
psn sn
sn p p snsn sn p p c c
sn sn
k C
r K C
Y k C r Y r mC mC
K C
=+
= + = ++
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Chemostat (CSTR) operation
Mass balance: Cell balance
Substrate balance
0 ( )c
co c g d
dC V v C vC r r V
dt = +
0s
so s s
dC V v C vC rV
dt = +
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Batch operation Mass balance:
Cell balance
Substratebalance
Product balance
( )c g d dC
V r r V dt
=
/ ( )s
s c g c
dC Y r mC
dt =
/ ( )p
p p s s
dC r Y r dt = =
/ ( )s
s p p c
dC Y r mC
dt =
growth phase stationary phase
growth phasestationary phase
/ p p p c g
dC r Y r dt
= =
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Example 7-6 Fermentation of Saccharomyces cerevisae in a batch reactor.
Plot the concentration of cells, substrate, the product andgrowth rate as a function of time.
Initial cell concentration 1g/dm3
, glucose 250g/dm3
( ) ( )
* 3/
/
1max /
3 1
93 / 0.08 /
0.52 0.45 /
0.33 5.6 /
1.7 / 0.01
0.03 /
p c s
p s
p c
s d
C g cm Y g g
n Y g g
h Y g g
K g dm k h
m g substrate g cell h
= =
= =
= =
= =
=
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Physiologically based pharmacokinetics (PBPK)
Chemical reaction engineering approach can be applied topharmacokinetics
With every organ we can associate a certain tissue watervolume (TWV) and flow rates.
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Physiologically based pharmacokinetics (PBPK)
Chemical reaction engineering approach can beapplied to pharmacokinetics
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Problems (for the class) Derive the Briggs-Haldane equation P7-25 (http://www.engin.umich.edu/~cre/07chap/frames.htm).
Methanol has been ingested, and after pumping the stomachmethanol has an initial concentration of C Mi = 0.25 g/dm 3 in thebody:
1. First prove the equations on the left hand side.2. How many grams of ethanol are necessary to retard the
formation of formaldehyde so that it will not reach the level tocause blindness if the ethanol is to be injected immediately?
3. What feed rate of ethanol should be used to preventformaldehyde from reaching a concentration of 0.16 g/dm 3?
Use the following values for V max1 and K M1 for ethanol neglecting the reversereaction of acetaldehyde to ethanol. As a first approximation, use the same valuesfor methanol. Next, vary V max2 the initial methanol concentration (0.1 g/dm 3 < C M