Quantum Chemical and Kinetic Studies of N2O Formation during Interaction between Char(N) and NO: Influence of Oxygen, Active Sites, and Nitrogen Status

烧焦 化学 化学吸附 氮气 氧气 分子 离解(化学) 催化作用 化学物理 物理化学 有机化学 燃烧
作者
Shanhui Zhao,Xiaolong Bi,Miaomiao Niu,Haiming Gu,Rongyue Sun,Xiaojun Pan,Yi Su
出处
期刊:Journal of Physical Chemistry A [American Chemical Society]
卷期号:125 (41): 9180-9190 被引量:2
标识
DOI:10.1021/acs.jpca.1c06125
摘要

In order to obtain a deep insight into the N2O formation mechanism in a fluidized bed, density functional theory was used to investigate the interaction between char(N) and NO at a molecular level. Three key influencing factors for the formation of N2O, namely, active sites, nitrogen status, and oxygen molecules, were taken into study. The geometric structures, electron distribution characteristics, and reaction paths were optimized and calculated. The outer orbital electron properties of char(N) and NO indicate that NO acts as an oxidizer, which tends to abstract electrons from char(N) during the char(N)-NO interaction. A stable N2O molecule has a singlet state and presents as a linear molecular structure. The chemisorption on the char surface will weaken the bond energy of NO from 620 to 94.1 kJ/mole, which promotes the catalytic reduction of NO. Active sites on the char surface benefit the reduction of NO to N2, rather than N2O, which indicates that excessive high temperatures will inhibit the production of N2O. The combination of pyridine nitrogen and NO to form N2O needs to overcome a much higher energy barrier of 357.4 kJ/mole. The initial chemisorption of oxygen molecules on the char surface will promote the formation of N2O by lowering the dissociation energy of N2O from the char surface as well as exposing nitrogen to the char surface.

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
黎明发布了新的文献求助10
刚刚
Orange应助Blossom采纳,获得10
1秒前
masterwjc完成签到,获得积分10
1秒前
2秒前
wls发布了新的文献求助10
2秒前
BenjaminBrain完成签到,获得积分10
3秒前
XFF发布了新的文献求助10
4秒前
两只晕虾完成签到,获得积分10
5秒前
希望天下0贩的0应助YoYo采纳,获得10
5秒前
兴奋冬萱发布了新的文献求助10
6秒前
9秒前
于是真的完成签到,获得积分10
10秒前
11秒前
moya发布了新的文献求助10
12秒前
张欢馨应助小灰灰采纳,获得10
12秒前
13秒前
13秒前
14秒前
xf完成签到,获得积分10
16秒前
Blossom发布了新的文献求助10
16秒前
鼻揩了转去应助alps采纳,获得10
16秒前
科研通AI6.3应助凌晨洋采纳,获得10
17秒前
17秒前
18秒前
18秒前
xphpyy完成签到,获得积分10
19秒前
闪闪的老虎完成签到,获得积分20
19秒前
烟花应助不谢特采纳,获得10
19秒前
19秒前
受伤凌蝶发布了新的文献求助10
19秒前
YoYo发布了新的文献求助10
19秒前
张荣钦关注了科研通微信公众号
20秒前
sunnio完成签到,获得积分10
21秒前
阿飞发布了新的文献求助20
22秒前
22秒前
浮沉发布了新的文献求助10
22秒前
23秒前
23秒前
23秒前
俏皮的孤丹完成签到 ,获得积分10
23秒前
高分求助中
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
Römisch-Germanische Forschungen 500
Electric machines: theory, operating applications, and controls 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
When Is Two-Stage Sample Robust Optimization Asymptotically Optimal? 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7602854
求助须知:如何正确求助?哪些是违规求助? 9178899
关于积分的说明 19656853
捐赠科研通 7178252
什么是DOI,文献DOI怎么找? 3269095
关于科研通互助平台的介绍 2433276
邀请新用户注册赠送积分活动 2262941