.png){kind=icon}
.png){kind=icon}
Return
Identifying selective catalysts in polypropylene hydrogenolysis by decoupling scission pathways
.png){kind=icon}
OA
AI
DOI：10.1016/j.checat.2023.100564.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Practical catalytic processing of polypropylene waste into high -value liquid alkanes via hydrogenolysis demands minimizing methane formation. Methane can mostly originate from either unde-sired demethylation of branched chains or inappropriate reaction conditions leading to excessively deep backbone scission. To date, identification of catalysts promoting backbone scission has been precluded by insufficient mechanistic tools. This work introduces scission preference, the metric providing the ratio between back-bone scission and demethylation events when hydrogenolysis pre-dominates obtainable from routine product analysis. Clear mecha-nistic differences on representative supported ruthenium catalysts could thus be quantified, with computed values ranging from 0.3 (Ru/CeO2) to 1.1 (Ru/Al2O3) under applied conditions. Ru/TiO2 dis-played the best activity-selectivity trade-off. This tool also revealed the dynamic nature of the cleavage mechanism as demethylation is progressively favored over time. Metal content and metal oxide basicity could also be correlated with scission preference, under-scoring its parallel value for catalyst design studies.
Keywords:
MECHANISM
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
11.6
Papers:
1.3K
Citations:
5.6K