How can we predict which way a reaction not yet at equilibrium will shift to reach equilibrium?
Calculate the reaction quotient Q and compare it with Kc to predict the direction in which a reaction will proceed to reach equilibrium
A focused answer to the WACE Year 12 Chemistry dot point on the reaction quotient, how Q is calculated and compared with Kc to predict the direction of net reaction, with a worked example and common exam mistakes.
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What this dot point is asking
The equilibrium constant describes the ratio of product to reactant concentrations only when a system is at equilibrium. But a real mixture may not start at equilibrium. The reaction quotient lets you test where a system sits relative to equilibrium and predict the direction of net change.
For the general reaction
both have the form
The difference is that uses equilibrium concentrations and uses the actual concentrations at the moment you are interested in.
Comparing Q with Kc
The system always shifts in the direction that brings towards .
- : there are too few products relative to reactants. The forward reaction is favoured; the reaction proceeds to the right, making more product until rises to equal .
- : there are too many products. The reverse reaction is favoured; the reaction proceeds to the left, consuming product until falls to equal .
- : the system is already at equilibrium and there is no net change.
Why this is useful
The reaction quotient lets you do three things the equilibrium constant alone cannot. First, predict the direction of reaction for any starting mixture. Second, decide whether adding more of a substance will cause net forward or reverse change. Third, it underpins the solubility comparison ( versus ) used to predict precipitation, so the same logic carries across the whole equilibrium topic.
Connecting to Le Chatelier
The reaction quotient gives a quantitative version of Le Chatelier's principle. When you add reactant, drops below , so the system shifts forward; when you add product, rises above , so it shifts in reverse. The two ideas describe the same behaviour, but lets you put numbers to the prediction.