IMR OpenIR
Resolving the Mechanism Complexity of Oxidative Dehydrogenation of Hydrocarbons on Nanocarbon by Microkinetic Modeling
Lian, Zan1,2; Si, Chaowei1,2; Jan, Faheem1,2; Yang, Min1,2; Li, Bo1
通讯作者Li, Bo(boli@imr.ac.cn)
2020-12-04
发表期刊ACS CATALYSIS
ISSN2155-5435
卷号10期号:23页码:14006-14014
摘要As metal-free catalysts with great potential for widespread application, nanostructured carbon materials have excellent performance comparable to traditional metal oxide catalysts in the oxidative dehydrogenation (ODH) of alkanes. Unlike the mature narrations of the mechanism on the metal catalyst, the mechanism of ODH on the nanocarbon catalyst is still disputable and inconclusive. In this work, density functional theory (DFT) calculation and microkinetic modeling (MKM) are combined to provide unique insights into the mechanism. Four possible mechanisms were studied, which are Eley-Rideal (ER), Langmuir-Hinshelwood (LH), and Mars-van Krevelen (MvK), together with the reactions between weakly adsorbed species and radicals. The simulation clearly identified the mechanism of the reaction that the ER pathway is more likely than both LH and MvK pathways under various conditions. Carbonyl groups are the main active sites for the first hydrogen abstraction of ethylbenzene. On the other hand, the hydrogen abstraction from intermediate hydrocarbons (such as C6H5CHCH3 center dot) by O-2* and HO2 center dot yields a significant contribution to the total reaction rate under certain conditions. The reaction is first-order in ethylbenzene and zero-order in O-2 when the ratio of reactants nears stoichiometry. Moreover, the defective site does not affect the intrinsic catalytic performance. The defective site is subsequently transformed into the carbonyl group at the steady state and thus increases the number of active sites. This study provides a decisive description of the mechanism of ODH on nanocarbon catalysts under various reaction conditions and sheds light on design of the catalyst and optimization of reaction conditions.
关键词oxidative dehydrogenation carbon catalysis microkinetic modeling radical reaction reaction mechanism density functional theory
资助者National Natural Science Foundation of China ; Joint Research Fund Liaoning-Shenyang National Laboratory for Materials Science ; State Key Laboratory of Catalytic Materials and Reaction Engineering (RIPP, SINOPEC) ; Special Program for Applied Research on Super Computation of the NSFC Guangdong Joint Fund
DOI10.1021/acscatal.0c02952
收录类别SCI
语种英语
资助项目National Natural Science Foundation of China[21573255] ; Joint Research Fund Liaoning-Shenyang National Laboratory for Materials Science ; State Key Laboratory of Catalytic Materials and Reaction Engineering (RIPP, SINOPEC) ; Special Program for Applied Research on Super Computation of the NSFC Guangdong Joint Fund[U1501501]
WOS研究方向Chemistry
WOS类目Chemistry, Physical
WOS记录号WOS:000598140200024
出版者AMER CHEMICAL SOC
引用统计
被引频次:11[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.imr.ac.cn/handle/321006/158946
专题中国科学院金属研究所
通讯作者Li, Bo
作者单位1.Chinese Acad Sci, Inst Met Res, Shenyang Natl Lab Mat Sci, Shenyang 110016, Liaoning, Peoples R China
2.Univ Sci & Technol China, Sch Mat Sci & Engn, Shenyang 110016, Peoples R China
推荐引用方式
GB/T 7714
Lian, Zan,Si, Chaowei,Jan, Faheem,et al. Resolving the Mechanism Complexity of Oxidative Dehydrogenation of Hydrocarbons on Nanocarbon by Microkinetic Modeling[J]. ACS CATALYSIS,2020,10(23):14006-14014.
APA Lian, Zan,Si, Chaowei,Jan, Faheem,Yang, Min,&Li, Bo.(2020).Resolving the Mechanism Complexity of Oxidative Dehydrogenation of Hydrocarbons on Nanocarbon by Microkinetic Modeling.ACS CATALYSIS,10(23),14006-14014.
MLA Lian, Zan,et al."Resolving the Mechanism Complexity of Oxidative Dehydrogenation of Hydrocarbons on Nanocarbon by Microkinetic Modeling".ACS CATALYSIS 10.23(2020):14006-14014.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Lian, Zan]的文章
[Si, Chaowei]的文章
[Jan, Faheem]的文章
百度学术
百度学术中相似的文章
[Lian, Zan]的文章
[Si, Chaowei]的文章
[Jan, Faheem]的文章
必应学术
必应学术中相似的文章
[Lian, Zan]的文章
[Si, Chaowei]的文章
[Jan, Faheem]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。