Demystifying group-4 polyolefin hydrogenolysis catalysis. Gaseous propane hydrogenolysis mechanism over the same catalysts.

Mason, Alexander H; Motta, Alessandro; Kratish, Yosi; Marks, Tobin J · Proc Natl Acad Sci U S A · 2024

basic_science · Level V

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Abstract

A kinetic/mechanistic investigation of gaseous propane hydrogenolysis over the single-site heterogeneous polyolefin depolymerization catalysts AlS/ZrNp<sub>2</sub> and AlS/HfNp<sub>2</sub> (AlS = sulfated alumina, Np = neopentyl), is use to probe intrinsic catalyst properties without the complexities introduced by time- and viscosity-dependent polymer medium effects. In a polymer-free automated plug-flow catalytic reactor, propane hydrogenolysis turnover frequencies approach 3,000 h<sup>-1</sup> at 150 °C. Both catalysts exhibit approximately linear relationships between rate and [H<sub>2</sub>] at substoichiometric [H<sub>2</sub>] with rate law orders of 0.66 ± 0.09 and 0.48 ± 0.07 for Hf and Zr, respectively; at higher [H<sub>2</sub>], the rates approach zero-order in [H<sub>2</sub>]. Reaction orders in [C<sub>3</sub>H<sub>8</sub>] and [catalyst] are essentially zero-order under all conditions, with the former implying rapid, irreversible alkane binding/activation. This rate law, activation parameter, and DFT energy span analysis support a scenario in which [H<sub>2</sub>] is pivotal in one of two plausible and competing rate-determining transition states-bimolecular metal-alkyl bond hydrogenolysis vs. unimolecular β-alkyl elimination. The Zr and Hf catalyst activation parameters, ΔH<sup>‡</sup> = 16.8 ± 0.2 kcal mol<sup>-1</sup> and 18.2 ± 0.6 kcal mol<sup>-1</sup>, respectively, track the relative turnover frequencies, while ΔS<sup>‡</sup> = -19.1 ± 0.8 and -16.7 ± 1.4 cal mol<sup>-1</sup> K<sup>-1</sup>, respectively, imply highly organized transition states. These catalysts maintain activity up to 200 °C, while time-on-stream data indicate multiday activities with an extrapolated turnover number ~92,000 at 150 °C for the Zr catalyst. This methodology is attractive for depolymerization catalyst discovery and process optimization.