加氢脱氧
Boosting(机器学习)
金属
化学
催化作用
有机化学
化学工程
选择性
计算机科学
机器学习
工程类
作者
Long Chen,Zhenzhen Cui,Sicong Zhao,Chun Cai,Guoping Lu
出处
期刊:Chemcatchem
[Wiley]
日期:2025-03-12
卷期号:17 (9)
被引量:2
标识
DOI:10.1002/cctc.202401739
摘要
Abstract The transformation of lipids into fuels via hydrodeoxygenation has become a research focus in lipid chemistry. The key to achieving this conversion is to develop heterogeneous catalysts with high catalytic performance. Herein, a novel detonation‐pyrolysis route for the introduction of oxygen vacancies in molybdenum oxide (MoO x ‐D) using carbon as the reducing agent. The Ni‐loaded catalyst (Ni30/MoO x ‐D) has more oxygen vacancies and stronger metal‐support interactions than Ni30/MoO 3 , which are conducive to the activation of O species and H 2 . Therefore, this catalyst exhibits excellent performance for the hydrodeoxygenation of lipids to alkanes (220 °C, 3 MPa H 2 , 5 h, > 93% alkane yields, 5 runs).
科研通智能强力驱动
Strongly Powered by AbleSci AI