DFT studies on the heterogeneous oxidation of SO2 by oxygen functional groups on graphene

石墨烯 密度泛函理论 化学 环氧化物 氧化物 氧气 光化学 氢键 化学物理 催化作用 计算化学 材料科学 纳米技术 分子 有机化学
作者
Guangzhi He,Hong He
出处
期刊:Physical Chemistry Chemical Physics [Royal Society of Chemistry]
卷期号:18 (46): 31691-31697 被引量:37
标识
DOI:10.1039/c6cp06665h
摘要

The heterogeneous oxidation of SO2 has been the subject of intense scrutiny in atmospheric chemistry because of the adverse effects of sulfate particles. Although it has been found that the soot particles with a graphene-like structure play an important role in the oxidation of SO2, little is known about the atomic-level mechanism involved. Here, we studied the oxidation of SO2 on oxygen-functionalized graphene using density functional theory (DFT) calculation. The results showed that SO2 is oxidized by the epoxide group via a two-step mechanism, where the C-O bond away from the SO2 is broken first, followed by the breaking of the other C-O bond and the synchronous formation of a new S-O bond. The energy barriers are significantly decreased when solvation free energies are involved, suggesting that humidity is favorable for promoting the oxidation by reducing the reaction barrier. The energy barriers for H2SO3 oxidation are much higher than that for SO2 oxidation, indicating that the direct conversion of SO2 to SO3 is the main pathway for the oxidation of SO2 by oxygen-functionalized graphene sheets in both the gas phase and solution. The reduced density gradient (RDG) analysis showed that the hydrogen bond formed between H2SO3 and epoxide groups enhances the stability of the reaction complex, and is responsible for the high energy barrier that has to be overcome for the reaction to proceed. These atomistic studies proposed a two-step mechanism for the oxidation of SO2 on the oxygen-functionalized graphene-like carbonaceous surfaces under ambient conditions.

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
CipherSage应助000G采纳,获得10
1秒前
2秒前
Bear完成签到,获得积分10
2秒前
杨富强发布了新的文献求助10
3秒前
David发布了新的文献求助50
4秒前
苗条芒果完成签到,获得积分10
4秒前
听雨发布了新的文献求助10
5秒前
5秒前
共享精神应助cs采纳,获得10
6秒前
7秒前
进步发布了新的文献求助10
7秒前
今后应助Solarenergy采纳,获得10
10秒前
干净的琦应助my采纳,获得30
10秒前
明天完成签到,获得积分10
10秒前
丘比特应助嘟嘟图图采纳,获得10
10秒前
直率新柔完成签到 ,获得积分10
11秒前
fighting发布了新的文献求助10
11秒前
哈一哈完成签到,获得积分10
13秒前
13秒前
15秒前
16秒前
16秒前
细心紫山发布了新的文献求助10
17秒前
科研通AI6.4应助zhangh65采纳,获得10
17秒前
南狮完成签到,获得积分10
18秒前
糖萱萱完成签到,获得积分10
18秒前
18秒前
万能图书馆应助上官小怡采纳,获得10
18秒前
19秒前
20秒前
20秒前
i97完成签到 ,获得积分10
20秒前
21秒前
22秒前
22秒前
张123发布了新的文献求助10
23秒前
灯影发布了新的文献求助30
23秒前
23秒前
cc完成签到,获得积分10
24秒前
qihang1254144328完成签到 ,获得积分10
24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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
信任代码:AI 时代的传播重构 450
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6357956
求助须知:如何正确求助?哪些是违规求助? 8172463
关于积分的说明 17208174
捐赠科研通 5413332
什么是DOI,文献DOI怎么找? 2865051
邀请新用户注册赠送积分活动 1842584
关于科研通互助平台的介绍 1690666