Steady-State Approximation
Concept of the Steady-State Approximation
Many reaction mechanisms involve reactive intermediates that are produced in one step and consumed in another. Solving the full set of differential equations for every species can get unwieldy fast. The steady-state approximation (SSA) cuts through that complexity with one key assumption: the concentration of a reactive intermediate stays approximately constant over the course of the reaction.
Mathematically, you set the net rate of change of the intermediate's concentration to zero:
This doesn't mean the intermediate isn't reacting. It means the intermediate is being formed and consumed at roughly equal rates, so its concentration never builds up to a significant level. Because the intermediate is highly reactive and short-lived, it gets consumed almost as quickly as it's produced.
The payoff: you can express the intermediate's concentration entirely in terms of stable reactants and products, which are the species you can actually measure in the lab.
Deriving Rate Laws with the SSA
Here's the general procedure for applying the steady-state approximation to a mechanism:
- Identify the reactive intermediate(s). These are species that appear in elementary steps but not in the overall balanced equation.
- Write rate expressions for the intermediate. Include every elementary step that forms it and every step that consumes it.
- Set and solve algebraically for in terms of stable species and rate constants.
- Substitute that expression for into the rate law for product formation.
- Simplify to get a rate law written only in terms of measurable concentrations and rate constants.
Worked Example
Consider a two-step mechanism with intermediate :
- Step 1 (forward):
- Step 1 (reverse):
- Step 2:
The rate of change of is:
Apply the SSA ():
Now substitute into the rate of product formation ():
Notice how this rate law only contains stable species ( and ) and rate constants. The intermediate has been eliminated entirely.
Validity of the Steady-State Approximation
The SSA works well when:
- The intermediate is highly reactive and short-lived, so its concentration stays low relative to reactants and products.
- The intermediate reaches its "steady" concentration quickly after the reaction begins. There's typically a brief induction period at the very start where the approximation doesn't hold, but this period is usually negligible.
The SSA breaks down if the intermediate accumulates to a significant concentration, which can happen if the step consuming it is much slower than the step producing it and there's no fast reverse reaction to drain it.

Applications of the Steady-State Approximation
Problem-Solving Strategy
When you encounter a kinetics problem that gives you a multi-step mechanism and asks for an overall rate law, follow these steps:
- Write out each elementary step with its rate constant.
- Identify which species are intermediates (they won't appear in the overall equation).
- Write for each intermediate, summing all formation terms and subtracting all consumption terms.
- Set each expression equal to zero and solve for .
- Plug that expression into the rate of formation of the final product.
- Simplify. Check whether the result matches any experimentally observed rate law.
If the mechanism has more than one intermediate, you'll need to solve a system of algebraic equations, but the logic is the same.
Where You'll See This Applied
- Enzyme kinetics. The Michaelis-Menten equation is derived by applying the SSA to the enzyme-substrate complex . The result, , is one of the most widely used rate laws in biochemistry.
- Chain reactions. In radical chain mechanisms (like halogenation of alkanes), radical intermediates are treated with the SSA to predict overall rates.
- Catalysis. Surface intermediates in heterogeneous catalysis are often handled with steady-state assumptions to derive rate expressions that match experimental data.
In each case, the SSA transforms an otherwise intractable set of coupled differential equations into a manageable algebraic problem, giving you a rate law you can test against experiment.