Kinetic Parameter Tables
Temperature, medium and mechanism dependence of rate constants
Lesson 4466 of 4,500 · Data Tables
Learning objectives
- Interpret rate-constant units from a rate law
- Use Arrhenius parameters within their fitted range
- Recognize medium and mechanism qualifications
Introduction
A table entry labeled k can mean very different things. Its units and usefulness depend on the rate law, reaction direction, temperature, solvent and experimental regime. Copying k without that context can produce wrong timescales by orders of magnitude. Kinetic data should be read as a parameter of a stated model, not an intrinsic number attached to a balanced equation.
Core explanation
For rate v in concentration per time, a first-order law v = k[A] gives k units of time⁻¹. A second-order law v = k[A][B] gives concentration⁻¹ time⁻¹, such as M⁻¹ s⁻¹. The order is determined by mechanism or experiment, not by simply reading coefficients in an overall balanced equation. A rate constant for an elementary step may follow molecularity under ideal mass-action assumptions; an overall observed rate can have fractional or condition-dependent orders. OpenStax's integrated-rate-law treatment shows distinct first- and second-order units and time laws.
Temperature dependence is often summarized by k = A exp(−Ea/RT) over a useful range. A and Ea must correspond to the same law and units; A carries k's units. A fitted Arrhenius line may curve if mechanisms or temperature-dependent prefactors change. OpenStax's collision and Arrhenius discussion gives the two-temperature relation and activation interpretation. A high-temperature constant should not be used at room temperature without a validated temperature model.
Medium matters. Solvent polarity, ionic strength, pH and catalyst state can alter rates. Gas-phase reactions may show pressure-dependent falloff because collision stabilization changes, while solution reactions may show diffusion or acid-base pre-equilibria. A tabulated pseudo-first-order kobs can equal k[B] only under conditions where [B] stays effectively constant and the assumed mechanism applies. Comparing kobs from experiments with different [B] as if they were intrinsic constants is an error.
Check how k was measured or estimated. A value from a direct transient fit may differ from one inferred from product yield with a large network model. Report uncertainty and whether the parameter is identifiable. For reversible steps, forward and reverse constants must be compatible with the equilibrium constant under consistent conventions. A model fitted to one concentration range may not extrapolate if a different pathway becomes dominant.
Step-by-step reasoning
1. Copy the exact rate law and reaction direction attached to k. 2. Derive units from rate units and concentration powers. 3. Record temperature, pressure or solvent, pH and catalyst conditions. 4. Apply an Arrhenius relation only within a supported range. 5. Check whether k is elementary, effective, pseudo-first-order or model-fitted.
Visual explanation
Draw a table with columns “rate law,” “k units,” “temperature,” “medium” and “source.” Under it, plot ln k against 1/T. A straight fitted segment is highlighted only over measured temperatures; dashed extrapolations curve away when another pathway becomes important. The picture warns that a single tabular k is one point on a condition-dependent landscape.
Real-world analogy
A car's “speed” of 80 has no meaning without km/h or mph and the road conditions. A reaction rate constant similarly needs units and conditions. A speed measured on a highway does not describe city traffic; a k fitted at one temperature and medium may not describe another regime.
Real-world example
A degradation reaction is measured with water in large excess. Its concentration-time profile appears first order in pollutant and yields kobs = 0.020 min⁻¹. A lab with a different water activity or acid concentration observes another kobs. The difference does not necessarily contradict the measurements; kobs may absorb a pseudo-first-order factor or acid-catalyzed pathway that changed.
Why?
Why must units be checked before comparing two reported k values? A first-order k of 0.1 s⁻¹ and a second-order k of 0.1 M⁻¹ s⁻¹ are not comparable without a concentration. One describes a fraction lost per time; the other requires a collision partner concentration to become a timescale.
Common misconception
“Balanced coefficients give the rate law” is generally false for overall reactions. “A positive activation energy guarantees Arrhenius behavior over every temperature” ignores pathway changes. “Pseudo-first-order k is independent of the held-fixed reactant” ignores its definition. “More printed digits imply a rate is well identified” ignores uncertainty and fitting assumptions.
Worked example
For v = k[A][B] with v in M s⁻¹ and [A], [B] in M, k has M⁻¹ s⁻¹ units. If k = 0.50 M⁻¹ s⁻¹ and [B] is maintained near 0.20 M, the effective first-order coefficient for A is kobs = k[B] = 0.10 s⁻¹. If [B] is instead 0.40 M under the same mechanism, kobs ≈ 0.20 s⁻¹. The intrinsic second-order k stayed unchanged in this illustration while the observed effective constant doubled. If [B] is consumed appreciably, treating kobs as constant may fail and the coupled second-order law must be used.
Quick check
1. What are the units of k in v = k[A][B] when v is M/s? Answer: M⁻¹ s⁻¹.
Exam focus
Derive k units from the stated rate law, not the overall equation. Convert time units carefully. Distinguish intrinsic and pseudo-first-order constants. State temperature and medium when quoting a value, and explain the limits of Arrhenius extrapolation.
Advanced insight
Pressure-dependent gas kinetics can require a falloff curve rather than one k, and heterogeneous catalysis may require coverage-dependent rate parameters. Tables that report only one apparent value can hide these dependencies. For model building, uncertainty distributions and correlation among fitted parameters may be more useful than point estimates.
Summary
Kinetic parameters belong to a specified law and condition range. Their units reveal the modeled order, while temperature, medium and mechanism affect their numerical values. Effective constants and Arrhenius fits should be used only with their experimental qualifications.
Practice questions
1. What units does a first-order k have if time is measured in minutes? Answer: min⁻¹. 2. For k = 0.50 M⁻¹ s⁻¹ and fixed [B] = 0.20 M, find kobs. Answer: kobs = k[B] = 0.10 s⁻¹. 3. Why might kobs change when the excess reactant concentration changes? Answer: The effective coefficient can include that reactant concentration, even if intrinsic k is unchanged. 4. Can an Arrhenius fit from 300–350 K be trusted automatically at 900 K? Answer: No. Prefactors, mechanisms and phases may change outside the fitted range.