8 chemical kinetics
TRANSCRIPT
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8. Chemical Kinetics
objectives of chemical kinetics
1) Determine empirical rate laws
H2+ I2−→ 2 HI
How does the concentration of H2, I2, and HI change
with time?
2) Determine the mechanism of the reaction
H2+ I2−→ 2 HI
is a stoichiometric statement
reactants −→ intermediates −→ products
elementary reaction: the stoichiometric equation
reflects what actually happens to the molecules
mechanism: series of elementary reactions that
constitute the stoichiometric equation
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example
2 H2+O2−→ 2 H2O
some intermediate steps:
H2+O2−→HO2+H
H2+HO2−→OH+H2O
OH+H2−→H2O+H
O2+H−→OH+O
H2+O−→OH+H
3) Empirical study of elementary reactions
important intermediates are often unstable, short-
lived species: H, OH, . . .
4) Predict rates of reactions
theoretical calculations
5) Chemical dynamics
study the dynamics of collisions and reactions of indi-
vidual molecules; high vacuum
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reaction rates
2 NO+O2−→ 2 NO2
time dependence: −d[NO]
dt , −
d[O2]
dt ,
d[NO2]
dt
ambiguity: NO reacts twice as fast as O2
chemical reaction νJJ= 0νJ positive for products
νJ negative for reactants
extent of the reaction ξ
dn J≡ νJdξ
Using numbers of moles in the definition of the extent
of the reaction, we ensure that it is general and that
it applies even to non-constant volume reactions.
dn NO=−2dξ
dn O2 =−dξ
dn NO2 = 2dξ
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reaction rate: ξ̇= dddξdddt
(rate of conversion)
dn J= νJdξ =⇒dn J
dt
=νJξ̇
ξ̇= 1
νJ
dddn J
dddt single rate for reaction
can follow the time-dependence of any component
If V = const, then the reaction rate can be expressed
by the rate of concentration change
v ≡ 1
V ξ̇ for V = const
v = reaction velocity
dn J
dt = νJξ̇
1V PChem I 8.4
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1
V
dn J
dt =
d(n J/V )
dt =νJ
V ξ̇ if V = const
v J≡d[J]
dt =
dc J
dt =νJ
V ξ̇= νJv reaction velocity of species J
ξ̇=V
νJv J
v J=νJv
rate law: v = f (concentrations)
If v depends on the concentration of some species
that does not appear in the stoichiometric equation,
then that species is called a catalyst if
v as [catalyst]
and an inhibitor if
v as [inhibitor]
If v depends on one or more products, then the re-
action is autocatalytic if v as [product], and the
reaction is self-inhibiting if v as [product].
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often v = k [A]x [B] y [C]z · · ·
k : rate constant (depends on T ), k > 0
x , y ,z , . . .: order of the reaction, typically but not al-
ways integers
x + y + z +·· · = overall order
For elementary reactions, the x , y , . . . are inte-
gers.
A −→D v = k [A] unimolecular
A +B−→D v = k [A][B] bimolecular
A +B+C−→D v = k [A][B][C] termolecular (rare)
Reactions that behave kinetically just like a single-
step, elementary reaction are called kinetically sim-
ple: order of reactant Ji =νi . Such reactions are also
said to obey the Law of Mass Action action or to have
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mass action kinetics. That means, the stoichiometric
equation looks like an elementary reaction, but gen-
erally it is not elementary.
Example:
H2+ I2−→ 2 HI
empirical rate law: v = k [H2][I2], i.e., the equationis kinetically simple and looks like a bimolecular el-
ementary reaction but
H2+Br2−→ 2HBr
empirical rate law:
v = k [H2][Br2]
3/2
[Br2]+k [HBr]
The reaction is first order in H2; no order is definablefor Br2 or HBr, and no overall order is definable.
The reaction is self-inhibiting.
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Further examples of empirical rate laws:
C2H4O−→CH4+CO v = k [C2H4O]
CH3CHO−→CH4+CO v = k [CH3CHO]3/2
2 O3N2O5−−−−→ 3 O2 v = k [O3]
2/3[N2O5]2/3
2 SO2+O2Pt−→ 2 SO3 v = k [SO2][SO3]
−1/2
2 N2O Pt−−−−−→741◦C
2 N2+O2 v = k [N2O]
1+k [N2O]
Experimental determination of rate laws
One cannot measure v J directly.
measurements: [J](t); make connection between [J](t)
and ˙[J](t )
two possibilities: differentiate the data or integrate
the rate law
1) Differential method
A −→ P
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d[A]
dt ≈
[A](t 2)− [A](t 1)
t 2− t 1=∆[A]
∆t
v A ([A])=−∆[A]
∆t average velocity
[A]=1
2
[A](t 1)+ [A](t 2)
If the rate law has a simple order, say v A = k [A]n
, thenlnv A = lnk +n ln[A]; so to determine n , plot lnv A ver-
sus ln[A].
Method has a major inherent difficulty:
d[A]
dt ≈∆[A]
∆t if ∆
t is small
but then ∆[A] is small also: division of two small num-
bers =⇒ need very high precision in the concentra-
tion measurement
2) Method of initial velocities (variant of the differen-
tial method)
example: say v A = k [A]x [B] y
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t = 0 : v A,0= k [A]x 0[B]
y
0
lnv A,0= lnk +x ln[A]0+ y ln[B]0
keep [B]0 fixed and vary [A]0: slope of lnv A,0 versus
ln[A]0 is equal to x
keep [A]0 fixed and vary [B]0: slope of lnv A,0 versus
ln[B]0 is equal to y
problems with this method:
H2+Br2−→ 2HBr
v 0= k [H2]0[Br2]
3/20
[Br2]0+k [HBr]0 =0
= k [H2]0[Br2]1/20
•method does not work for multistep mechanisms
•method does not work for complex reactions with ini-
tial transients and induction periods
3) Method of integrated rate laws
d[J]
dt = v J=νJ f (concentrations)
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rate law = differential equation
solve (integrate) the differential equation (analytical-ly or numerically); then fit data
Zero-order reaction
A k −→ P v = k
d[A]
dt = ν A v =−v =−k
d[A]=−k dt [A](t )[A]0
d[A]=−k
t 0
dt
[A](t )− [A]0=−kt
[A](t )= [A]0−kt
For a zero-order reaction, a plot of [A](t ) versus t
yields a straight line.
Note: Reactions cannot be of zero order for all times
— there are no true zero-order reactions — because
the reactant concentration cannot become less than
zero, which would occur at t = [A]0/k . A zero-order is
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an approximation, which is valid only as long as the
reactant is in excess.
First-order reaction
A k −→ P v = k [A]
d[A]
dt = ν A v =−v =−k [A]
d[A]
[A]=−k dt [A](t )
[A]0
d[A]
[A]=−
t 0
k dt
ln[A](t )[A]0 =−kt [A](t )= [A]0 exp(−kt )
For a first-order reaction, a plot of ln([A](t )/[A]0) ver-
sus t results in a straight line with slope −k .
Second-order reaction
A k −→ P v = k [A]2
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d[A]
dt = ν A v =−v =−k [A]
2
d[A]
[A]2 = −k dt
[A](t )[A]0
d[A]
[A]2 = −
t 0
k dt
− 1
[A](t )+
1
[A]0=−kt
[A](t )= 1
1
[A]0+kt
= [A]0
1+kt [A]0
For a second-order reaction, a plot of 1/[A](t ) versus t
results in a straight line with slope k .
Note: If the reaction is
A + A k −→ P v = k [A]2
then
d[A]
dt = ν A v =−2v =−2k [A]
2
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and k has to be replaced by 2k in the expressions
above.
A +B k −→ P v = k [A][B]
d[A]
dt
= ν A v =−v =−k [A][B]
[A](t )= [A]0− z (t ), [B](t )= [B]0− z (t )
d[A]
dt =−
dz
dt
dz
dt = k ([A]0− z ) · ([B]0− z )
dz
([A]0− z ) · ([B]0− z )= k dt
z (t )0
dz
([A]0− z ) · ([B]0− z )= kt
z (t )
0
1
[B]0− [A]0 1
[A]0− z −
1
[B]0− z dz = kt 1
[B]0− [A]0
− ln
[A]0− z (t )
[A]0
+ ln
[B]0− z (t )
[B]0
= kt
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1
[B]0− [A]0ln
[A]0 · [B](t)
[A](t ) · [B]0= kt If [B]0= [A]0, then
d[A]
dt =−k [A]2
Reactions of other orders
A k −→ P v = k [A]x
d[A]
dt = ν A v =−v =−k [A]
x
d[A]
[A]x = −k dt
[A](t )[A]0
d[A][A]x
= −t
0
k dt
[A](t )[A]0
d[A][A]−x =−
t 0
k dt
1
1−x [A](t )1−x − [A]1−x 0 =−kt , x = 1
1
x −1
1
[A](t )x −1−
1
[A]x −10
= kt , x = 1
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For more complicated rate laws, use the method
of isolation or method of “flooding” . Focus on one
species; prepare all other species in large excess.
Example:
A +B k −→ P v = k [A][B]3/2
[B]0 [A]0 :
d[A]
dt =−k [A][B]3/2
−k [B]3/20 [A]
=−k eff [A] pseudo-first order
[A]0 [B]0 :
d[A]
dt =−k [A][B]3/2
−k [A]0[B]
3/2
=−k eff [B]3/2
pseudo-one-and-a-half order
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Information on rate laws from half-life data
half-life t 1/2 : [A](t 1/2)= 12
[A]0
First-order reaction, A −→ P:
ln
12[A]0
[A]0 =−kt 1/2
t 1/2=ln 2
k = 0.693k −1
Second-order reaction, A −→ P:
1
2
[A]0= [A]0
1+kt 1/2[A]0
kt 1/2[A]0= 1
t 1/2= 1
k [A]0
Reactions of order x (x = 1), A −→ P:
t 1/2= 2x −1−1
(x −1)k [A]x −10
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Temperature dependence of reaction rates
k = A exp− E
a
RT
Arrhenius law
E a activation energy; A pre-exponential factor
In the Arrhenius law, E a and A are considered to be
constants, though in applications they are often not
strictly constant but vary slowly with temperature.
if E a is large, then k is very sensitive to changes in
temperature
if E a is zero, e.g., radical recombination reactions,
then the rate is largely independent of temperature
Include backward reactions
Reversible first-order reaction
A k 1−−−−k −
1
B
Reversible has a different meaning in kinetics than in
thermodynamics!
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All chemical reactions are reversible to some extent,
but if K > 100, this fact can usually be ignored for pur-
poses of chemical kinetics.
d[A]
dt = ν
f
A v f +ν
b A v b
ν f
A =−1, v f = k 1[A]
νb
A =+1, v b = k −1[B]d[A]
dt =−k 1[A]+k −1[B]
d[B]
dt =ν
f
Bv f +νb Bv b
d[B]
dt = k 1[A]−k −1[B]
Add the two rate equations:
d[A]
dt +
d[B]
dt =−k 1[A]+k −1[B]+k 1[A]−k −1[B]
ddt
[A]+ [B]
= 0
[A](t )+ [B](t )= const= [A](0)+ [B](0)=C
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[B](t )=C − [A](t )
d[A]dt
=−k 1[A]+k −1{C − [A](t )}
d[A]
dt = k −1C − (k 1+k −1)[A]
equilibrium:
d[A]eq
dt = 0
0=−k 1[A]eq+k −1[B]eq
[B]eq
[A]eq= k 1
k −1=K c
C − [A]eq
[A]eq= k 1
k −1=K c
[A]eq= k −1
k 1+k −1C
d[A]
dt = k −1C − (k 1+k −1)[A]
=−(k 1+k −1)
[A]−
k −1
k 1+k −1C
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d[A]
dt =−(k 1+k −1)[A]− [A]eq[A](t )
[A]0
d[A]
[A]− [A]eq=−(k 1+k −1)t
ln
[A](t )− [A]eq
[A]0− [A]eq
=−(k 1+k −1)t
[A](t )− [A]eq
[A]0− [A]eq= exp−(k 1+k −1)t
[A](t )= [A]eq+[A]0− [A]eq
exp
−(k 1+k −1)t
relaxation methods: relaxation = return of a system
to equilibrium
Relaxation methods are used to measure rate con-
stants. Apply a sudden perturbation to the equilib-
rium, e.g., a temperature jump or a pressure jump,
and monitor the relaxation.
Let x be the deviation from equilibrium. Then for a re-
versible first-order reaction A −− B, our results show
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that
x (t )= [A](t )− [A]eq= x (0)exp(−t /τ)
with
τ= 1
k 1+k −1
i.e., after a temperature jump at t = 0, the system re-
laxes exponentially with a rate 1/τ = k 1+k −1. Com-
bine the measurement of the equilibrium constant
K c = k 1/k −1 with a measurement of the relaxation
time τ to obtain the forward and backward rate con-
stants k 1 and k −1.
Parallel first-order reactions
Assume the reactions are irreversible for the moment.
A k 1−→B
A k
2−→C
d[A]
dt =−k 1[A]−k 2[A]
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d[B]
dt = k 1[A]
d[C]
dt = k 2[A]
add the three equations:
d
dt [A]+ [B]+ [C]= 0[A](t )+ [B](t )+ [C](t )= const
= [A](0)+ [B](0)+ [C](0)= [A]0
if initially only the reactant A is present
conversion of reactant into products:
[A](t )= [A]0 exp{−(k 1+k 2)t }
d[B]
dt = k 1[A]= k 1[A]0 exp{−(k 1+k 2)t }
[B](t )= k 1[A]0
k 1+k 2 1−exp[−(k 1+k 2)t ][C](t )=
k 2[A]0
k 1+k 2
1−exp[−(k 1+k 2)t ]
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•yield (t →∞)
Y B
irr=[B](∞)
[A]0=
k 1
k 1+k 2
Y C
irr=[C](∞)
[A]0=
k 2
k 1+k 2
•selectivity
S irr=[B](t )
[C](t )=k 1
k 2for all times
What happens if the reactions are reversible?
A k 1−−k −1
B
A k 2−−k −2
C
d[A]
dt =−k 1[A]+k −1[B]−k 2[A]+k −2[C]
d[B]
dt = k 1[A]−k −1[B]
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d[C]
dt = k 2[A]−k −2[C]
[A](t )+ [B](t )+ [C](t )= const= [A]0
can eliminate on variable, say [C]:
[C](t )= [A]0− [A](t )− [B](t )
Consider the case t →∞. The reaction reaches equi-
librium, i.e., the concentrations no longer change with
time:
d[A]
dt =−k 1[A]+k −1[B]−k 2[A]+k −2[C]= 0
d[B]dt
= k 1[A]−k −1[B]= 0
d[C]
dt = k 2[A]−k −2[C]= 0
k 1[A]eq= k −1[B]eq
k 2[A]eq= k −2[C]eq[B]eq
[A]eq= k 1
k −1=K c ,1
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[C]eq
[A]eq= k 2
k −2=K c ,2
[A]eq+ [B]eq+ [C]eq= [A]0
[A]eq+K c ,1[A]eq+K c ,2[A]eq= [A]0
[A]eq= [A]0
1+K c ,1+K c ,2
[B]eq= K c ,1[A]0
1+K c ,1+K c ,2
[C]eq=K c ,2[A]0
1+K c ,1+K c ,2
•yield (t →∞)
Y B
rev=[B]eq
[A]0=
K c ,1
1+K c ,1+K c ,2
Y C
rev=[C]eq
[A]0=
K c ,2
1+K c ,1+K c ,2
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•selectivity
S rev=[B]eq
[C]eq=K c ,1
K c ,2= k 1
k −1·k −2
k 2=k 1
k 2·k −2
k −1
S rev=S irr ·k −2
k −1
The selectivity
S =[B]
[C]=k 1
k 2=S irr
will be observed for short times, as along as the back-
ward reactions are negligible: The reaction is un-der kinetic control .
For long times, the selectivity approaches the equilib-
rium value
S =
[B]
[C] −−−−−→t →∞
K c ,1
K c ,2 =S rev
The reaction is under thermodynamic control .
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Example: k 1 = 1 s−1
, k −1 = 0.01s−1
, k 2 = 0.1s−1
, k −2 =
0.0005s−1
Initially B is formed ten times faster than C, however
K c ,1= 1 s−1
0.01s−1= 100
K c ,2= 0.1s−1
0.0005s−1= 200
and C is the more stable product.
1000 2000 3000 4000 5000 6000 7000
t
0.2
0.4
0.6
0.8
1.
conc
Figure 1: Parallel first-order reversible reactions. [A]:
solid line, [B]: dashed line, [C]: dot-dash line.
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1 2 3 4 5 6 7 8 9 10
t
0.2
0.4
0.6
0.8
1.
conc
Figure 2: Parallel first-order reversible reactions: Ini-
tial stage. [A]: solid line, [B]: dashed line, [C]: dot–
dash line.
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0.01 0.1 1 10 100 1000 10000
t
0.2
0.4
0.6
0.8
1.
conc
Figure 3: Parallel first-order reversible reactions: con-
centrations versus log t . [A]: solid line, [B]: dashed
line, [C]: dot-dash line.
In the above parallel-reaction mechanism C can be
converted into B only via A . What happens if there is
the additional reaction
Ck 3−−k −3
B
(An example are the isomerization reactions be-
tween ortho-xylene, meta-xylene, and para-xylene:
PChem I 8.30
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o-xylene−− m-xylene, m-xylene−− p-xylene, p-xylene
−− o-xylene.) Let us assume that the three steps are
the mechanism of the reaction, i.e., all reactions are
elementary.
Is it then possible to establish equilibrium by the
cyclic reaction mechanism below?
A
B
C
d[A]
dt =−k 1[A]+k −2[C]
d[B]
dt = k
1
[A]−k −3
[B]
d[C]
dt = k −3[B]−k −2[C]
[A](t )+ [B](t )+ [C](t )= const= [A]0
stationary state:
k 1[A]= k −2[C] =⇒ [C]
[A]= k 1
k −2
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k 1[A]= k −3[B] =⇒ [B]
[A]= k 1
k −3
k −3[B]= k −2[C], which follows from the previous two equations
[B]= k 1
k −3[A]
[C]= k 1
k −2[A]
[A]+ k 1
k −3[A]+
k 1
k −2[A]= [A]0
[A]= [A]0
1+ k 1k −3+
k 1k −2
We have determined the stationary concentrations
[A], [B], and [C] in terms of [A]0 and the three rate
constants.
This stationary state is not an equilibrium state!! It
violates the principle of detailed balance.
The principle of microscopic reversibility :
In a system at equilibrium, any molecular pro-
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cess and the reverse of that process occur, on
the average, at the same rate.
implies the principle of detailed balance:
In a system at equilibrium, each collision has its
exact counterpart in the reverse direction, so
that the rate of every chemical process is ex-
actly balanced by that of the reverse process.
=⇒
In a system at equilibrium, every elementary forward
reaction is balanced by its own backward reaction.
In other words, in a system at equilibrium each ele-
mentary reaction must be individually at equilibrium.
Principle of detailed balance implies that all elemen-
tary reactions must be reversible.
Application to the scheme
A k 1−−k −1
B
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A k 2−−k −2
C
Ck 3−−k −3
B
equilibrium:
k 1[A]eq= k −1[B]eq =⇒ K c ,1=[B]eq
[A]eq= k 1
k −1
k 2[A]eq= k −2[C]eq =⇒ K c ,2=[C]eq
[A]eq= k 2
k −2
k 3
[C]eq= k
−3[B]
eq =⇒ K
c ,3=
[B]eq
[C]eq= k 3
k −3
The product of the second and third equilibrium con-
stants is
K c ,2K c ,3= [C]eq[A]eq
[B]eq[C]eq
= [B]eq[A]eq
=K c ,1
=⇒
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k 1
k −1= k 2
k −2
k 3
k −3
or
k 1k −2k −3= k −1k 2k 3
This condition on the six rate constants has been de-
rived by considering chemical equilibrium, but rate
constants are concentration independent. Therefore,
this relation is general for this mechanism; it also
holds for all nonequilibrium conditions. We see that
the rate constants can never be chosen independent-
ly, and the cyclic mechanism is impossible, since it
requires k −1 = k 2 = k 3 = 0, which is forbidden by the
relation.
Consecutive first-order reactions (series reactions)
A k 1−−→B
k 2−−→C
Assume the reactions are first order and irreversible.
d[A]
dt =−k 1[A]
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d[B]
dt = k 1[A]−k 2[B]
d[C]
dt = k 2[B]
Assume again [A](0) = [A]0, [B](0) = 0, [C](0) = 0, and
add the three equations:
[A](t )+ [B](t )+ [C](t )= const= [A]0
[A](t )= [A]0 exp(−k 1t )
d[B]
dt = k 1[A]0 exp(−k 1t )−k 2[B]
[B](t )= k 1[A]0
k 2−k 1{exp(−k 1t )−exp(−k 2t )}
[C]= [A]0− [A](t )− [B](t )
= [A]0
1+
1
k 2−k 1[k 1 exp(−k 2t )−k 2 exp(−k 1t )]
Consider the case: k 2 k 1.
Then
exp(−k 2t ) exp(−k 1t )
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and
k 2−k 1≈ k 2
[C]≈ [A]0
1+
1
k 2· (−k 2)exp(−k 1t )
= [A]0{1−exp(−k 1t )}
The formation of C depends only on the rate constantof the first step A −→B.
A −→B is the rate-determining step.
Motivation for the
Steady-State Approximation: After an initial induction
period, the concentration and the rate of change of all reaction intermediates are negligibly small.
Illustrate for the consecutive scheme:
[B](t )
[A](t )=
k 1[A]0
k 2−k 1{exp(−k 1t )−exp(−k 2t )}
[A]0 exp(−k 1t )
= k 1
k 2−k 1{1−exp[−(k 2−k 1)t ]}
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For k 2 k 1:
[B](t )
[A](t )≈k 1
k 2{1−exp[−k 2t ]
≈0 for t 1/k 2
}=k 1
k 2
[B](t )=k 1
k 2[A](t ) [A](t )
d[B]
dt =
k 1
k 2
d[A]
dt
d[A]
dt
If we apply directly the steady-state approximation
(SSA), also known as the quasisteady-state approxi-
mation (QSSA), to the intermediate B, we obtain
0≈d[B]
dt = k 1[A]−k 2[B]
=⇒
[B]=k 1
k 2[A]
d[C]
dt = k 2[B]= k 2
k 1
k 2[A]= k 1[A]
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= k 1[A]0 exp(−k 1t )
[C](t )= [A]0{1−exp(−k 1t )} (same as above)
Application: decomposition of ozone
2 O3−→ 3 O2
empirical rate law (M is an inert gas):
v =−1
2
d[O3]
dt
=1
3
d[O2]
dt
= k [O3]
2[M]
k
[O2][M]+ [O3]
proposed mechanism:
stoichiometric number
O3+Mk 1−−→O2+O+M 2
O2+O+Mk −1−−→O3+M 1
O+O3k 2−−→ 2 O2 1
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2 O3+2 M+O2+O+M+O+O3−→
2 O2+2 O+2 M+O3+M+2 O2
2 O3−→ 3 O2
intermediate O: steady-state approximation
d[O]
dt = 0
Intermediates do not appear in the rate law!!
d[O]
dt = k 1[O3][M]−k −1[O2][O][M]−k 2[O][O3]= 0
[O]= k 1[O3][M]
k −1[O2][M]+k 2[O3]
d[O3]
dt =−k 1[O3][M]+k −1[O2][O][M]−k 2[O][O3]
=−k 1[O3][M]+k −1[O2][M]−k 2[O3]
[O]
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d[O3]
dt =−k 1[O3][M]+
+k −1[O2][M]−k 2[O3]
k 1[O3][M]k −1[O2][M]+k 2[O3]
= 1
k −1[O2][M]+k 2[O3]×
×−k 1[O3][M]k −1[O2][M]−k 1[O3][M]k 2[O3]++k −1[O2][M]k 1[O3][M]−k 2[O3]k 1[O3][M]
=−
2k 1k 2[O3]2[M]
k −1[O2][M]+k 2[O3]
=−2
k 1[O3]2[M]
k −1k 2
[O2][M]+ [O3]
=−2v empirical rate law:k = k 1, k = k −1/k 2
If initially we have pure ozone, then
k −1[O2][M] k 2[O3]
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and
d[O3]dt
=−2k 1[O3][M]
=⇒ the first step is rate-determining
The reaction is self-inhibiting in O2, v as [O2]
Another approximation method
Pre-equilibrium or fast-equilibrium approximation
A +Bk 1−−−−k −1
X k 2−−→C
k 1 k 2, k −1 k 2
A , B, and X are in equilibrium:
k 1[A][B]= k −1[X]
[X]= k 1k −1
[A][B]=K [A][B]
(Note: K =K c !!)
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d[C]
dt = k 2[X]= k 2K [A][B]= k [A][B]
k = k 2K =k 2k 1
k −1
enzyme reactions
Michaelis-Menten mechanism
E+Sk 1−−−−k −1
(ES)k 2−−→ P+E
d[P]
dt = v = k 2[(ES)]
Apply the steady-state approximation:
d[(ES)]
dt = k 1[E][S]−k −1[(ES)]−k 2[(ES)]= 0
[(ES)]=k 1[E][S]
k −1+k 2=
[E][S]
K M
K M=k −1+k 2
k 1Michaelis constant
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d[P]
dt = k 2
K M[E][S]
conservation of total enzyme concentration:
[E]0= [E]+ [(ES)]
= [E]+
[E][S]
K M
= [E]
1+
[S]
K M
[E]= [E]0
1+ [S]K M
d[P]
dt = k 2
K M[E][S]
= k 2
K M·
[E]0
1+ [S]K M
[S]
d[P]
dt = v =
k 2[E]0[S]
K M+ [S]
Michaelis-Menten rate law
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At high substrate concentrations, [S]K M,
d[P]dt
k 2[E]0[S]
[S]= k 2[E]0,
the reaction is zero order, and the rate reaches its
maximum:
v max= k 2[E]0
[Figure: rate versus substrate concentration; Atkins 9th ed., Fig. 23.3]
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The Michaelis-Menten rate law can be written in terms
of v max:
d[P]
dt = v =
v max
1+K M/[S]
We rearrange this expression into a form that is
amenable to data analysis by linear regression:
1
v =
1
v max+
K M
v max
1
[S]
A Lineweaver-Burk plot is a plot of the reciprocal
of the velocity v versus the reciprocal of the sub-strate concentration [S] at fixed enzyme concentra-
tion. If the enzyme obeys Michaelis-Menten kinetics,
then the plot should yield a straight line, with slope
K M/v max, that intercepts the ordinate axis at 1/v maxand the abscissa at −1/K M.
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[Figure: Lineweaver-Burk plot; Atkins 9th ed., Fig. 23.4]
At low substrate concentrations, [S]K M,
d[P]
dt
k 2[E]0[S]
K M= k [S],
the reaction is first order.
The turnover number or catalytic constant of an
enzyme, k cat, is the number of catalytic cycles
(turnovers) performed by the active site in a given
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time interval divided by the duration of that inter-
val. It has units of a first-order rate constant, and for
the Michaelis-Menten mechanism is given by k 2, therate constant for release of product from the enzyme-
substrate complex.
k cat= k 2=v max
[E]0
The catalytic efficiency , η, of an enzyme is given by
η=k cat
K M
The higher the value of η, the more efficient is the
enzyme. For the Michaelis-Menten mechanism
η= k 2k −1+k 2
k 1
= k 1k 2
k −1+k 2
η→ ηmax= k 1 if k 2 k −1
= rate of formation of the enzyme-substrate complex;
diffusion-limited: < 108 – 109 M−1 s−1 for enzyme-sized
molecules at room temperature
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catalase (decomposition of hydrogen peroxide) η =
4.0×108 M−1 s−1: “catalytic perfection”