Kinetics
Lindemann Mechanism
Apparent unimolecular reactions go through a collisionally excited intermediate — explains pressure dependence of k
The Lindemann mechanism explains why "unimolecular" reactions in the gas phase have rate constants that depend on pressure. A reactant A is first collisionally excited by a bath molecule M to an energized A*, which can either be de-excited by another collision or react unimolecularly to products. At high pressure the rate is first-order in [A]; at low pressure it becomes second-order. Frederick Lindemann proposed the scheme in 1922 to resolve a paradox of monomolecular kinetics, and the framework was refined by Hinshelwood (1928), Rice-Ramsperger-Kassel (1927–1928), and Rudolph Marcus's RRKM (1952) — the modern quantum-statistical version.
- ProposedFrederick Lindemann, 1922
- RefinedHinshelwood 1928, RRKM 1952
- High-pressure limitk∞ = k1k3/k2, first-order
- Low-pressure limitk0[M] = k1[M], second-order
- Falloff transition~0.04 atm for cyclopropane @ 763 K
- Modern formalismTroe falloff fit
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Why the Lindemann mechanism matters
- Resolved a 1920s paradox. Monomolecular gas-phase reactions at the time could not explain how a single molecule got the energy to react if it never collided with anything. Lindemann's 1922 insight: it does collide — and the collision rate is what produces the pressure dependence. The paper redefined unimolecular kinetics overnight.
- Predicts the falloff curve. Apparent first-order kuni drops from a high-pressure plateau k∞ to a linear-in-[M] region as pressure decreases. Cyclopropane → propene has its half-falloff pressure at ~0.04 atm at 763 K. Atmospheric and combustion reactions sit in falloff under operational pressures, making Lindemann logic essential for any kinetic model.
- Foundation for RRKM. Rice, Ramsperger, Kassel (1927–1928) and Marcus's quantum extension (1952) replaced Lindemann's single-state k3 with k(E) — the rate as a function of internal energy E — and integrated over the Boltzmann distribution. RRKM is the modern standard for predicting unimolecular rate constants from electronic-structure calculations of barrier and frequencies.
- Hinshelwood's 1956 Nobel. Cyril Hinshelwood (with Nikolay Semenov) was awarded for chain reactions, but his 1928 generalization of Lindemann to polyatomic molecules — accounting for energy storage in many vibrational modes — was the technical bridge that made the mechanism quantitative.
- Atmospheric chemistry workhorse. Methyl radical recombination CH3 + CH3 → C2H6 is in falloff at every tropospheric pressure. JPL and IUPAC data evaluations report k(P, T) as Troe falloff parameters; without Lindemann logic models would predict the wrong concentrations for ozone, methane, and NOx chemistry.
- Steady-state approximation in textbooks. Lindemann's derivation uses the steady-state approximation on [A*] — assume d[A*]/dt = 0 — which produces the canonical formula kuni = k1k3[M]/(k2[M] + k3). It's the prototype problem in every undergraduate kinetics course because the mechanism is concrete and the algebra is tractable.
- Combustion modeling — Troe falloff. Modern reaction kinetics packages (CHEMKIN, Cantera) parameterize unimolecular and recombination reactions with three- or four-parameter Troe expressions descending directly from the Lindemann framework. CH3 + H + M and HO2 formation rates in flame chemistry are so represented.
Common misconceptions
- "Unimolecular means no collisions involved." Wrong. The reaction step (A* → products) is unimolecular, but the activation step (A + M → A* + M) is bimolecular. The "uni" refers only to the rate-limiting transformation, not the entire mechanism.
- "Lindemann is a complete theory." No — it underpredicts the activation rate by orders of magnitude for polyatomic molecules. Hinshelwood corrected the activation, RRK corrected the reaction, and RRKM combined both with quantum density of states. Lindemann alone is pedagogical, not predictive.
- "k0 and k∞ are independent constants." They are linked through the underlying microscopic rate coefficients. RRKM and master-equation analyses give them as a single coupled prediction; fitting them separately to data with no model can produce thermodynamically inconsistent values.
- "All unimolecular reactions have falloff." Bond fissions and isomerizations of small molecules (3–6 atoms) show pronounced falloff. Reactions of large polyatomic molecules (15+ atoms) are essentially always at the high-pressure limit at atmospheric pressure because their density of states is so high that energy redistribution is fast.
- "Bath gas M is irrelevant once you have any." Different M have different collisional efficiencies. Replacing 1 atm Ar with 1 atm CO2 can double the apparent rate constant in falloff because CO2 is a more efficient energy transfer partner. Atmospheric models use weighted-average efficiencies for the air mixture.
- "The high-pressure rate is the 'true' unimolecular rate." k∞ is the rate constant when the energized population is in Boltzmann equilibrium with the reservoir — that is the limit Eyring-style transition-state theory computes. At low pressure the molecules are not equilibrated, so neither limit is more "true" than the other; they describe different physical regimes.
Mechanism
Write the three steps and apply the steady-state approximation to A*. Step 1: A + M → A* + M with rate constant k1. Step 2: A* + M → A + M with rate constant k2. Step 3: A* → products with rate constant k3. Setting d[A*]/dt = 0 gives k1[A][M] = (k2[M] + k3)[A*], so [A*] = k1[A][M]/(k2[M] + k3). The rate of product formation is r = k3[A*] = k1k3[A][M]/(k2[M] + k3). Defining the apparent first-order constant kuni = r/[A] gives kuni = k1k3[M]/(k2[M] + k3).
The two limits drop out by inspection. At high pressure k2[M] ≫ k3: kuni → k1k3/k2 ≡ k∞, independent of [M] — apparent first-order. At low pressure k2[M] ≪ k3: kuni → k1[M] ≡ k0, linear in bath density — apparent second-order. The crossover where the two terms in the denominator are equal defines the falloff: k2[M]1/2 = k3, so the half-falloff density is [M]1/2 = k3/k2.
Hinshelwood's correction acknowledges that A in step 1 is a polyatomic molecule with internal vibrations. The rate of activation k1 is then determined by the density of vibrational states at energies above the threshold, giving an enhancement over Lindemann's single-mode treatment by a factor of (E* − E0)s−1/(s−1)! where s is the number of effective oscillators. RRKM goes further: the unimolecular rate k(E) is itself a function of the energy stored in the molecule, computed as k(E) = (1/h) N‡(E − E0)/ρ(E) from the density of states ρ(E) of the molecule and the cumulative number of states N‡(E − E0) of the transition state. Lindemann's k3 becomes an integral of k(E) over the energy distribution.
Lindemann low-pressure vs high-pressure limit
| Property | Low-pressure limit (k0) | High-pressure limit (k∞) |
|---|---|---|
| Apparent reaction order | 2 (1 in [A], 1 in [M]) | 1 (in [A] only) |
| Rate-limiting step | Activation: A + M → A* + M | Reaction of A*: A* → products |
| kuni dependence on [M] | kuni = k1[M], linear | kuni = k∞, constant |
| Population of A* | Sub-Boltzmann (depleted by reaction) | Boltzmann equilibrium |
| Bath gas role | Sole source of A*; identity matters | Provides equilibration only; identity less important |
| Pressure regime | ≪ [M]1/2 (often < 1 torr for small molecules) | ≫ [M]1/2 (typically > 10 atm) |
| Connection to TST | Cannot be computed from TST alone | TST gives k∞ directly |
Lindemann vs Hinshelwood vs RRKM
| Theory | Year | Treatment of A* | Limitation it removes |
|---|---|---|---|
| Lindemann | 1922 | Single energy state, single k3 | Explains existence of pressure dependence |
| Hinshelwood | 1928 | Polyatomic energy reservoir; activation rate enhanced by density of states | Underestimate of k1 in original Lindemann |
| Rice-Ramsperger-Kassel (RRK, classical) | 1927–1928 | Energy-dependent reaction rate k(E); statistical energy redistribution | Single k3 for all energized states |
| RRKM (Marcus) | 1952 | Quantum density of states for ρ(E) and N‡(E − E0); transition-state theory at each E | Classical RRK underestimate at low T, missing zero-point |
| Master equation | 1970s– | Explicit P(E,E') for collision energy transfer; numerical solution of E-resolved population | Strong-collision approximation in RRKM |
| Troe falloff | 1979 | Three- or four-parameter empirical form fit to master-equation result | Compact representation for combustion/atmospheric kinetics codes |
Applications
- Cyclopropane isomerization. The textbook Lindemann case: c-C3H6 → CH3CH=CH2 at 700–800 K shows a clean falloff curve from ~10 atm (k∞) to ~10-4 atm. Hinshelwood and Pritchard's 1936 data are still the benchmark used in textbook examples and in undergraduate kinetics labs.
- Methyl radical recombination. CH3 + CH3 + M → C2H6 + M is in falloff at all tropospheric pressures. Atmospheric chemistry models use Troe parameters from JPL Publication 19-5; without them ozone, methane, and NOx concentrations would be wrong by 10–50%.
- N2O5 decomposition. N2O5 → NO2 + NO3 is a stratospheric reaction in falloff. RRKM analysis of laboratory data is what enables the modeling of nighttime polar stratospheric chemistry, where temperature and pressure span large ranges.
- Combustion: H + CH3 + M → CH4 + M. The dominant termination of methyl radicals in flame chemistry is in falloff. CHEMKIN and Cantera mechanisms parameterize this and dozens of similar reactions with Troe falloff fits derived from RRKM master-equation calculations.
- Atmospheric pressure plasmas. Low-pressure (mTorr) discharges are deep in the second-order Lindemann regime; rate constants for radical recombination are order-of-magnitude lower than the high-pressure values listed in textbooks, and plasma-chemistry codes correct using the linear k0[M] form.
Frequently asked questions
What is the Lindemann mechanism?
A three-step kinetic scheme proposed by Frederick Lindemann in 1922 to explain why thermal unimolecular reactions in the gas phase show a pressure-dependent rate constant. Step 1: A + M → A* + M (collisional activation by a bath molecule). Step 2: A* + M → A + M (collisional de-activation). Step 3: A* → products (unimolecular reaction of the energized molecule). At high pressure step 2 is fast, [A*] is in quasi-equilibrium with [A], and the apparent rate is first-order in [A]. At low pressure step 1 is rate-limiting and the rate becomes second-order — first-order in [A] and first-order in [M]. The transition between the two regimes is the falloff curve, the central observation Lindemann was trying to explain.
What is the falloff curve?
A plot of the apparent first-order rate constant kuni versus log pressure (or [M]). At high pressure kuni reaches a constant k∞ — the high-pressure limit, true first-order behavior. As pressure drops, kuni falls below k∞, eventually becoming linear in [M] at low pressure (the low-pressure limit k0 [M]). The transition pressure where kuni = k∞/2 is characteristic of the molecule and reaction; for cyclopropane → propene at 763 K it is around 0.04 atm. Falloff curves are tabulated in JPL and IUPAC kinetic data evaluations and are essential for atmospheric and combustion modeling because reactions like CH3 + CH3 → C2H6 sit in falloff under tropospheric pressures.
How does Lindemann differ from Hinshelwood and RRKM?
Lindemann (1922) treats A* as a single energized state with one rate constant k3 to products. This predicts a falloff curve too sharp compared to data. Hinshelwood (1928) recognized that a polyatomic molecule has many internal vibrational modes and that the rate of activation depends on how energy is distributed; he replaced Lindemann's k1 with an integral over the Boltzmann distribution of internal energy, giving more activation than Lindemann's single-mode estimate. Rice-Ramsperger-Kassel (1927–1928, classical) and Marcus's quantum extension RRKM (1952) made the further crucial refinement that the rate of reaction itself depends on the internal energy: k(E) is computed from the density of states above the barrier. RRKM is the modern standard and predicts falloff curves in agreement with experiment to within a factor of 2.
Why does pressure dependence appear at all?
Because the energized A* must accumulate enough energy in the right vibrational mode to surmount the reaction barrier, and that energy comes only from collisions. At high pressure collisions are abundant — every A* either reacts or is de-energized within a few vibrational periods, the steady-state [A*] is set by Boltzmann equilibrium, and the rate is first-order in [A]. At low pressure collisions are rare — A* once formed almost always reacts before another collision, so the rate is limited by how fast A is energized, which is itself a bimolecular collision rate. The crossover happens when the lifetime of A* against unimolecular decay equals the mean time between collisions, typically nanoseconds to microseconds.
What molecules show classical Lindemann behavior?
Cyclopropane → propene (Hinshelwood and Pritchard's data, 1936) is the textbook example: a unimolecular isomerization with a clean falloff curve between 1 atm (k∞) and 10-3 atm. N2O5 → NO2 + NO3 is another canonical case used in atmospheric modeling. Methyl radical recombination CH3 + CH3 → C2H6 is in falloff at all atmospheric pressures and is the showcase reaction for RRKM-based atmospheric modelling. Strong-collision assumptions need correction (the Troe formalism) for accurate fitting; modern combustion codes use a Troe falloff fit with three or four parameters per reaction.
How does the bath gas M affect the rate?
M is any molecule that collides with A but is unchanged by the reaction — Ar, N2, CO2, or A itself. The collision efficiency varies with M: heavier polyatomic bath gases transfer more energy per collision (high efficiency, βc near 1) than monatomic gases (lower βc). For cyclopropane isomerization the relative efficiencies are roughly Ar 0.3, N2 0.4, CO2 0.6, propane 1.0. Atmospheric models use [M] proportional to total air density and apply efficiency corrections. The 'strong-collision' assumption that one collision deactivates A* fully is convenient but often wrong — ladder-climbing models with a master equation for E-distributions are now standard for accurate modeling.