Molecular Descriptor for Catalytic Direct Oxidative Transfer Process Based on Thermodynamic State Changes during Reactions

过程(计算) 氧化磷酸化 催化作用 化学 热力学 国家(计算机科学) 计算机科学 物理 有机化学 生物化学 算法 操作系统
作者
Zhaohua Wang,Gui‐Xiang Huang,Yingjie Zhang,Tian-Wei Hua,Jie‐Jie Chen,Han‐Qing Yu
出处
期刊:Environmental Science & Technology [American Chemical Society]
卷期号:59 (12): 6097-6105 被引量:8
标识
DOI:10.1021/acs.est.4c13406
摘要

The direct oxidative transfer process (DOTP) in heterogeneous catalytic persulfate oxidation (HCPO) systems has gained increasing attention. In this process, the reaction rate is linked to pollutant properties, and identifying this correlation through descriptors offers insights into reaction mechanisms and water treatment strategies. However, most of the existing descriptors are based on static molecular properties and show limited correlation with reactivity and mechanisms. In this work, we proposed descriptors based on molecular thermodynamic state changes during reactions. The descriptor reflecting the energy change associated with losing two electrons and one proton (ΔE2e1p) proves most effective, exhibiting a strong correlation (R2 = 0.938) with the reaction rate of phenolic and amine pollutants in carbon nanotube/peroxydisulfate system. Multiscale characterizations elucidate the DOTP mechanism in this system, explaining ΔE2e1p’s superior performance and highlighting the critical role of pollutant proton transfer. A comprehensive analysis of the new and existing descriptors reveals the limitations of previous descriptors and the influence of the substrate range on applicability. Additionally, ΔE2e1p demonstrates broad applicability across diverse HCPO systems and practicality in real water matrices. This work provides insights for developing molecular descriptors for catalytic oxidation processes.
最长约 10秒,即可获得该文献文件

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
小马甲应助科研通管家采纳,获得10
刚刚
科研通AI6.2应助自信鹭洋采纳,获得10
刚刚
lixinglei应助科研通管家采纳,获得20
刚刚
orixero应助NZhe采纳,获得10
刚刚
qaeqr应助科研通管家采纳,获得20
1秒前
田様应助科研通管家采纳,获得10
1秒前
NexusExplorer应助科研通管家采纳,获得10
1秒前
在水一方应助科研通管家采纳,获得10
1秒前
1秒前
体贴凌柏应助科研通管家采纳,获得10
1秒前
CipherSage应助科研通管家采纳,获得10
1秒前
踏实一德应助科研通管家采纳,获得10
2秒前
2秒前
SciGPT应助科研通管家采纳,获得10
2秒前
六六六完成签到,获得积分10
2秒前
2秒前
3秒前
脑洞疼应助啊啊啊采纳,获得10
4秒前
六六六发布了新的文献求助20
6秒前
6秒前
6秒前
7秒前
YU完成签到,获得积分10
8秒前
琪琪完成签到,获得积分10
9秒前
Belle发布了新的文献求助10
9秒前
9秒前
9秒前
10秒前
大气的fgyyhjj完成签到,获得积分10
11秒前
leez发布了新的文献求助10
12秒前
12秒前
12秒前
12秒前
13秒前
13秒前
13秒前
13秒前
5762发布了新的文献求助10
15秒前
LiPengpeng发布了新的文献求助10
15秒前
Lucas应助Ansge采纳,获得10
15秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 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 7570386
求助须知:如何正确求助?哪些是违规求助? 9150311
关于积分的说明 19570279
捐赠科研通 7155914
什么是DOI,文献DOI怎么找? 3263854
关于科研通互助平台的介绍 2429275
邀请新用户注册赠送积分活动 2253907