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Pseudo First Order Reaction in Chemical Kinetics

What is a pseudo first order reaction, why does it behave like first-order kinetics, and how are the observed rate constant and plots (ln concentration vs time) interpreted?

Subject: General Chemistry Chapter: Chemical Kinetics Topic: Pseudo First Order Reactions Answer included
pseudo first order reaction pseudo-first-order kinetics observed rate constant k_obs large excess reactant integrated rate law ln concentration vs time half-life first order
Accepted answer Answer included

Definition of a pseudo first order reaction

A pseudo first order reaction is a reaction that is not truly first order in its full mechanism, but it behaves like first-order kinetics under experimental conditions where one reactant is present in such a large excess that its concentration changes negligibly during the measurement.

Rate-law reduction to an observed first-order form

Consider a reaction where \(A\) is the limiting reactant and \(B\) is in large excess:

\[ A + B \rightarrow \text{products} \]

A common (illustrative) true rate law is:

\[ \text{rate} = k[A][B] \]

If \([B]\) is maintained approximately constant (large excess), then \([B] \approx [B]_0\) during the time window of interest, so:

\[ \text{rate} = k[A][B]_0 = k_{\text{obs}}[A] \qquad\text{with}\qquad k_{\text{obs}} = k[B]_0 \]

More generally, for \(\text{rate} = k[A]^m[B]^n\) with \(B\) in large excess, \(\text{rate} = k_{\text{obs}}[A]^m\) where \(k_{\text{obs}} = k[B]_0^n\). The reaction is “pseudo” because the observed order in \(A\) is measured while \(B\) is effectively constant.

Integrated law and the diagnostic plot

For the common pseudo-first-order case where the observed law is first order in \(A\), \(\text{rate} = k_{\text{obs}}[A]\), the integrated rate law is:

\[ \ln\!\left(\frac{[A]}{[A]_0}\right) = -k_{\text{obs}}t \qquad\Longleftrightarrow\qquad \ln([A]) = -k_{\text{obs}}t + \ln([A]_0) \]

A straight line in a plot of \(\ln([A])\) versus \(t\) indicates pseudo-first-order behavior for \(A\), with slope \(-k_{\text{obs}}\).

When the approximation is valid

  • \([B]\) must change very little during the run; a practical condition is that \(B\) is at least an order of magnitude larger than \(A\) for a 1:1 stoichiometry, so the fractional change in \([B]\) remains small.
  • The same temperature and solvent conditions must be maintained so \(k\) is constant during the run.
  • The measured signal must track \([A]\) (or a quantity proportional to \([A]\)) reliably over time.

Numerical example (computing \([A]\), \(k_{\text{obs}}\), and half-life)

Suppose the true law is \(\text{rate} = k[A][B]\) with \(k = 0.80\ \text{M}^{-1}\text{s}^{-1}\), and \(B\) is prepared at \([B]_0 = 0.50\ \text{M}\) (large excess). Then:

\[ k_{\text{obs}} = k[B]_0 = (0.80\ \text{M}^{-1}\text{s}^{-1}) \cdot (0.50\ \text{M}) = 0.40\ \text{s}^{-1} \]

If \([A]_0 = 0.020\ \text{M}\), then after \(t = 5.0\ \text{s}\):

\[ [A] = [A]_0 e^{-k_{\text{obs}}t} = 0.020 \cdot e^{-(0.40)(5.0)} = 0.020 \cdot e^{-2.0} \approx 0.020 \cdot 0.1353 \approx 0.00271\ \text{M} \]

The pseudo-first-order half-life for \(A\) is:

\[ t_{1/2} = \frac{\ln(2)}{k_{\text{obs}}} = \frac{0.693}{0.40} \approx 1.73\ \text{s} \]

How to recover the true rate constant and the order in the excess reactant

When the true law is \(\text{rate} = k[A][B]^n\) and \(B\) is held in excess, repeated experiments at different \([B]_0\) produce different \(k_{\text{obs}}\) values:

\[ k_{\text{obs}} = k[B]_0^n \]

Taking natural logs yields a linear relationship:

\[ \ln(k_{\text{obs}}) = \ln(k) + n\ln([B]_0) \]
Run \([B]_0\) (M) Measured \(k_{\text{obs}}\) (s\(^{-1}\)) \(\ln([B]_0)\) \(\ln(k_{\text{obs}})\)
1 0.20 0.16 \(\ln(0.20) \approx -1.609\) \(\ln(0.16) \approx -1.833\)
2 0.40 0.32 \(\ln(0.40) \approx -0.916\) \(\ln(0.32) \approx -1.139\)
3 0.80 0.64 \(\ln(0.80) \approx -0.223\) \(\ln(0.64) \approx -0.446\)

The pattern \(k_{\text{obs}}\) doubling when \([B]_0\) doubles indicates \(n \approx 1\). Then \(k = k_{\text{obs}}/[B]_0\), giving \(k \approx 0.80\ \text{M}^{-1}\text{s}^{-1}\) consistently across runs.

Visualization: concentration–time and ln plot for a pseudo first order reaction

Premium Visualization of Pseudo-First-Order Kinetics Two-panel diagram: Left panel shows exponential decay of reactant [A] against a constant large excess of [B]. Right panel shows the linear diagnostic plot of ln[A] vs time. Concentration vs. Time ln([A]) vs. Time (Diagnostic) Conc. [M] Time (t) [B] (Excess) [A] decays ln([A]) Time (t) Intercept: ln([A]₀) Slope = −k_obs Limiting (A) Excess (B)
A pseudo first order reaction is indicated when \([B]\) stays nearly constant (left), while a plot of \(\ln([A])\) versus \(t\) is linear (right), yielding \(k_{\text{obs}}\) from the slope.

\[ \ln([A]) = -k_{\text{obs}} t + \ln([A]_0) \]

Summary

  • A pseudo first order reaction results from placing one reactant in large excess so its concentration is effectively constant.
  • The observed constant satisfies \(k_{\text{obs}} = k[B]_0^n\), converting a multi-reactant rate law into an observed first-order form in the limiting reactant.
  • Linearity of \(\ln([A])\) versus time is the primary diagnostic for pseudo-first-order behavior in \(A\).
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