铱
化学
催化作用
羰基化
耗散颗粒动力学模拟
甲醇
分子动力学
化学工程
甲烷化
纳米颗粒
分子
化学物理
两亲性
密度泛函理论
醋酸
计算化学
多相催化
催化循环
光化学
反应机理
铑
烷基
粒子(生态学)
阳离子聚合
溶剂
丁醇
三乙醇胺
作者
Yue Li,Qiyue Wei,Jinhui Xie,Yanxun Wu,Xiao-kun Zhou,Tao Li,Zengxi Wei,Shuangliang Zhao
出处
期刊:Langmuir
[American Chemical Society]
日期:2025-11-11
卷期号:41 (46): 31034-31044
标识
DOI:10.1021/acs.langmuir.5c03230
摘要
Iridium catalysts offer superior activity and cost-efficiency over Rh in the low-pressure methanol carbonylation for acetic acid. However, industrial use is limited by deactivation via precipitation, which is difficult to resolve experimentally due to complex variable coupling. This study employs mesoscopic dissipative particle dynamics (DPD) simulations with a chemically accurate coarse-grained model linking molecular interactions to reactor-scale behavior. Microsecond simulations reveal a self-assembly mechanism: phase separation forms a water-in-oil microstructure. Amphiphilic iridium catalyst ligands migrate to the oil-water interface via a hydrophilic-hydrophobic synergy, leading to significant interfacial enrichment. Aggregates form critically at 4000 ppm of Ir or 2 wt % water, with RDF analysis establishing an aggregation criterion. Solvent effects of byproducts (ethanol, propionic acid, C2+ alkyl iodides) on aggregation are assessed, predicting concentration-dependent interfacial deactivation. Furthermore, through density functional theory (DFT) calculations, the interaction mechanism between impurity molecules and iridium active centers was revealed at the electronic level, clarifying the microscopic root of their promotion of aggregation. This multiscale framework decouples variables and provides stabilization strategies via interface engineering and impurity control, establishing a transformative computational platform bridging molecular catalyst design with reactor optimization.
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