Abstract
A kinetic/mechanistic investigation of gaseous propane hydrogenolysis over the single-site heterogeneous polyolefin depolymerization catalysts AlS/ZrNp2 and AlS/ HfNp2 (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−1 at 150 °C. Both catalysts exhibit approximately linear relationships between rate and [H2] at substoichiometric [H2] with rate law orders of 0.66 ± 0.09 and 0.48 ± 0.07 for Hf and Zr, respectively; at higher [H2], the rates approach zero-order in [H2]. Reaction orders in [C3H8] 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 [H2] 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‡ = 16.8 ± 0.2 kcal mol−1 and 18.2 ± 0.6 kcal mol−1, respectively, track the relative turnover frequencies, while ΔS‡ = −19.1 ± 0.8 and −16.7 ± 1.4 cal mol−1 K−1, 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.
| Original language | English (US) |
|---|---|
| Article number | e2406133121 |
| Journal | Proceedings of the National Academy of Sciences of the United States of America |
| Volume | 121 |
| Issue number | 30 |
| DOIs | |
| State | Published - Jul 23 2024 |
Funding
ACKNOWLEDGMENTS. The financial support was provided by the US Department of Energy (DOE), Office of Science, Office of Basic Energy Sciences under Award Number DOE DE-FG02-03ER15457 to the Institute for Catalysis in Energy Processes, by Award Number DOE DE-SC0024448 at Northwestern University (NU), and by The Dow Chemical Company. This work made use of Integrated Molecular Structure Education and Research Center facilities at NU, which have received support from Soft and Hybrid Nanotechnology Experimental Resource (NSF ECCS-2025633), Int. Institute of Nanotechnology, and NU. This work made use of the NU Quantitative Bio-element Imaging Center supported by NASA Ames Research Center Grant NNA04CC36G. This work made use of the Reactor Engineering and Catalyst Testing Facility of NU’s Center for Catalysis and Surface Science supported by a grant from the DOE (DE-SC0001329). This research was supported in part by the computational resources and staff contributions provided by the Quest High-Performance Computing. Computational support was also provided by the CINECA High Performance Computing center under the Italian Super Computing Resource Allocation initiative (award no. HP10CPXHA1 2023). The financial support was provided by the US Department of Energy (DOE), Office of Science, Office of Basic Energy Sciences under Award Number DOE DE-FG02-03ER15457 to the Institute for Catalysis in Energy Processes, by Award Number DOE DE-SC0024448 at Northwestern University (NU), and by The Dow Chemical Company. This work made use of Integrated Molecular Structure Education and Research Center facilities at NU, which have received support from Soft and Hybrid Nanotechnology Experimental Resource (NSF ECCS-2025633), Int. Institute of Nanotechnology, and NU. This work made use of the NU Quantitative Bio-element Imaging Center supported by NASA Ames Research Center Grant NNA04CC36G. This work made use of the Reactor Engineering and Catalyst Testing Facility of NU’s Center for Catalysis and Surface Science supported by a grant from the DOE (DE-SC0001329). This research was supported in part by the computational resources and staff contributions provided by the Quest High-Performance Computing. Computational support was also provided by the CINECA High Performance Computing center under the Italian Super Computing Resource Allocation initiative (award no. HP10CPXHA1 2023).
Keywords
- catalysis
- chemical recycling
- hydrogenolysis
- plastics
- polyolefin
ASJC Scopus subject areas
- General