Notice that this is the same overall rate law that we got when we used the equi-
librium constant of the first elementary process, so there is some consistency
between the two mathematical applications of the steady-state approximation.
The particular mathematical approach you might use depends on the infor-
mation available (that is, the value ofKor k 1 and k 1 ) as well as what you
might be trying to determine about a particular chemical reaction.
One kind of kinetics that uses the steady-state approximation is applied to
enzyme-catalyzed reactions. Because enzymes (which are proteins) are very
good catalysts, typically only a very small concentration is needed for a bio-
chemical reaction to occur, and determination of the reaction kinetics focuses
on following the change of concentration of the primary reactant, called the
substrate.
The first step in an enzyme-catalyzed process is the combination of the
proper enzyme, labeled E, with the substrate, labeled S. The second step, the
RDS, is the production of some product material P and the simultaneous re-
lease of the unchanged enzyme catalyst. The two elementary steps are repre-
sented as
k 1
E S ES (fast)
k 1
k 2
ES →E P (slow)
where ES represents the intermediate, an enzyme-substrate complex. Because
the second step is the RDS, the first elementary process reaches equilibrium,
and we can apply the steady-state approach to the intermediate ES and derive,
for the rate law,
rate
k
k 2
1
k 1
k 2
[E][S] k[E][S] (20.64)
where kk 2 k 1 /(k 1 k 2 ). Applying equation 20.62, the amount of enzyme-
substrate complex ES is given by
[ES]
k 2
k 1
k 1
[E][S] (20.65)
We define [E 0 ] as the total amount of enzyme present in any form:
[E 0 ] [E] [ES] (20.66)
Using equation 20.65, we can rewrite the expression for [E 0 ] as
[E 0 ] [E]
k 2
k 1
k 1
[E][S] [E] 1
k 2
k 1
k 1
[S]
Solving for [E], we find that
[E]
k 2
[E
0 ](
k
k
2
1
k
k
1
1
[
)
S]
In terms of [E 0 ], the rate of the equation is
rate
k
k 2
1
k 1
k 2
[E][S]
k 2
k
2
k
k 1
1
[E
k
0
1
]
[S]
[S]
[E 0 ]
1
k 2
k 1
k 1
[S]
JQPJ
20.8 The Steady-State Approximation 713