Mathematical Expression and Prediction of VOCs Adsorption Capacity and Isotherm

化学 吸附 吸附等温线 热力学 环境化学 色谱法 有机化学 物理
作者
Zhongshen Zhang,Wenqing Wu,Gang Wang,Yuan Wang,Xinxin Wang,Wenshuo Li,Zeyu Zhao,Xiaoxiao Duan,Zhihao Zhang,Chunli Wang,Ganggang Li,Guoxia Jiang,Fenglian Zhang,Jie Cheng,Jinjun Li,Chi He,Zhengping Hao
出处
期刊:Journal of the American Chemical Society [American Chemical Society]
卷期号:146 (49): 33434-33442 被引量:6
标识
DOI:10.1021/jacs.4c09609
摘要

Adsorption capacity prediction, which needs to be based on the precise structure-capacity relationship, is important for better adsorbent design. However, the precise adsorption contribution coefficients of pores of different sizes for volatile organic compound (VOC) adsorption remain unclear. Herein, a control variable method is employed as a generative model to realize the numerization of the precise structure-capacity relationship. For the first time, a concise equation is proposed that can predict the adsorption capacities/isotherms of unknown adsorbents through their pore structure parameters. Interestingly, practical VOC adsorption amounts aligned with predicted values obtained by simultaneously considering pore volume (which undergoes volume-filling adsorption) and surface area (which undergoes surface-covering adsorption) as input variables. Derivation of the equation is based on classical adsorption theories and mathematical expression of the precise structure-capacity relationship obtained from actual experimental results. Each parameter in the equation has a specific physical meaning. This unprecedented VOC adsorption capacity/isotherm prediction method provides in-depth insight for accurate quantification of VOC adsorption, with great potential for gas adsorption prediction and guidance in the development of adsorption materials and technologies.
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
1秒前
1秒前
ww挽风完成签到 ,获得积分10
1秒前
九玖酒发布了新的文献求助10
1秒前
掮客发布了新的文献求助10
1秒前
1秒前
丘比特应助哆啦A梦采纳,获得10
2秒前
4秒前
4秒前
hw完成签到,获得积分10
5秒前
obcx完成签到,获得积分10
5秒前
余客隐完成签到,获得积分10
6秒前
123发布了新的文献求助10
7秒前
nashanbei发布了新的文献求助10
8秒前
ggggg发布了新的文献求助10
8秒前
丸屿同学发布了新的文献求助30
9秒前
9秒前
9秒前
斑马兽发布了新的文献求助10
9秒前
10秒前
英姑应助袁寒烟采纳,获得10
11秒前
CipherSage应助DukeAn809采纳,获得10
11秒前
11秒前
12秒前
墨鱼完成签到,获得积分10
12秒前
choi发布了新的文献求助10
12秒前
12秒前
12秒前
13秒前
13秒前
明亮紫伊完成签到,获得积分10
13秒前
Hero发布了新的文献求助10
13秒前
13秒前
lyzzz完成签到,获得积分20
14秒前
Cu发布了新的文献求助10
14秒前
爱你哦完成签到,获得积分10
14秒前
灵巧代柔发布了新的文献求助10
14秒前
14秒前
15秒前
15秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 1200
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
Adhesion Science: Principles & Practice 400
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 6492937
求助须知:如何正确求助?哪些是违规求助? 8290508
关于积分的说明 17691208
捐赠科研通 5585086
什么是DOI,文献DOI怎么找? 2915526
邀请新用户注册赠送积分活动 1892599
关于科研通互助平台的介绍 1750900