Identification of the driving forces in methanol-to-olefin conversion by modeling the zeolite cage and contents

作者
David Lesthaeghe,Véronique Van Speybroeck,Michel Waroquier
出处
期刊:Ghent University - Ghent University Academic Bibliography [Ghent University]
卷期号:: 238-238
摘要

The rapidly increasing demand of oil-based chemicals calls for the development of new technologies based on other natural sources. Among these emerging alternatives, the methanol-to-olefin process (MTO) in acidic zeolites is one of the most promising. However, unraveling the reaction mechanism of such an extremely complex catalytic process like MTO conversion has been a challenging task from both experimental and theoretical viewpoint. For over 30 years the actual mechanism has been one of the most discussed topics in heterogeneous catalysis.[1] Instead of plainly following direct routes,[2-3] the MTO process has experimentally been found to proceed through a hydrocarbon pool mechanism, in which organic reaction centers act as cocatalysts inside the zeolite pores, adding a whole new level of complexity to this issue.[4-5] Therefore, a more detailed understanding of the elementary reaction steps can be obtained with the complementary assistance of theoretical modeling. In this work, a complete supramolecular complex of both the zeolite framework and the co-catalytic hydrocarbon pool species is modeled through state-of-the-art quantum chemical techniques [6-7]. This approach provides a more detailed understanding of the crucial interactions between the zeolite framework and its contents, which form the driving forces for successful methanol-to-olefin conversion. [1] Stocker, M., Microporous Mesoporous Mater. 29 (1999) 3. [2] Song, W.G., Marcus, D.M., Fu, H., Ehresmann, J.O., Haw, J.F., J. Am. Chem. Soc. 124 (2002) 3844. [3] Lesthaeghe, D., Van Speybroeck, V., Marin, G.B., Waroquier, M., Angew. Chem. Int. Ed. 45 (2006) 1714. [4] Dessau, R. M., J. Catal. 99 (1986) 111. [5] Dahl, I.M., Kolboe, S., Catal. Lett. 20 (1993) 329. [6] Lesthaeghe, D., De Sterck, B., Van Speybroeck, V., Marin, G.B., Waroquier, M., Angew. Chem. Int. Ed. 46 (2007) 1311. [7] McCann, D.M., Lesthaeghe, D., Kletnieks, P.W., Guenther, D.R., Hayman, M.J., Van Speybroeck, V., Waroquier, M., Haw, J.F. Angew. Chem. Int. Ed. 47 (2008) 5179.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
核桃发布了新的文献求助10
1秒前
慕青的应助被毕崇宇采纳,获得30
1秒前
嵩易凯发布了新的文献求助10
1秒前
Serrin发布了新的文献求助10
1秒前
2秒前
2秒前
2秒前
郑梅梅完成签到,获得积分10
3秒前
3秒前
翟思宇发布了新的文献求助20
3秒前
4秒前
lele完成签到 ,获得积分10
4秒前
5秒前
爆米花的应助被sunnymoon采纳,获得10
5秒前
科研通AI6.4的应助被hh采纳,获得10
6秒前
6秒前
无奈灵煌完成签到,获得积分10
6秒前
8秒前
饱满的冷荷完成签到,获得积分20
8秒前
8秒前
sunrise完成签到,获得积分10
8秒前
无极微光的应助被kaunis采纳,获得20
8秒前
linlinlin完成签到 ,获得积分10
8秒前
香蕉觅云的应助被小M采纳,获得30
9秒前
怕孤独的白梦完成签到,获得积分10
9秒前
鲤鱼自中完成签到,获得积分10
9秒前
牙瓜发布了新的文献求助10
9秒前
9秒前
alamo完成签到,获得积分10
9秒前
weiwanhao完成签到,获得积分20
10秒前
科研通AI6.4的应助被高贵振家采纳,获得10
10秒前
小毛毛完成签到 ,获得积分10
10秒前
123发布了新的文献求助10
10秒前
10秒前
cocohan的应助被ray采纳,获得10
11秒前
11秒前
12秒前
Owen的应助被ting采纳,获得10
12秒前
动听的醉山完成签到,获得积分10
12秒前
bingbing驳回了ding的应助
12秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Les Mantodea De Guyane 2000
Energie-Contracting 1500
Klimaschutzrecht durch den Energiesektor im Mehrebenensystem – Ein Rechtsvergleich 1000
Stochastic Models in Operations Research,Vol. 2 600
Guidelines for fracture-safe and fatigue-reliable design of steel structures 600
Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8026985
求助须知:如何正确求助?哪些是违规求助? 9467959
关于积分的说明 21229181
捐赠科研通 7597686
什么是DOI,文献DOI怎么找? 3387656
关于科研通互助平台的介绍 2520220
邀请新用户注册赠送积分活动 2424053