亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Investigation of the effect of the key pore size on the radon adsorption performance by combining grand canonical Monte Carlo and activated carbon modification experiments

吸附 活性炭 蒙特卡罗方法 材料科学 体积热力学 大正则系综 碳纤维 化学 热力学 分析化学(期刊) 物理化学 色谱法 复合材料 物理 复合数 量子力学 统计 数学
作者
Xiangyuan Deng,Yun Liao,Meng Wang,Detao Xiao
出处
期刊:Applied Surface Science [Elsevier BV]
卷期号:643: 158730-158730 被引量:7
标识
DOI:10.1016/j.apsusc.2023.158730
摘要

Radon (Rn) is an important contributing factor to lung cancer. Activated carbon (AC) is currently the only Rn adsorbent for industrial applications. However, the effect of the key pore size of AC on Rn adsorption remains unclear, and enhancement of the Rn adsorption performance when using AC is still a challenge. In this work, grand canonical Monte Carlo (GCMC) simulations were performed to simulate the Rn adsorption ability of AC with different pore sizes. The adsorption selectivity of AC with pore sizes from 0.42 nm to 0.60 nm for Rn in the atmospheric environment was much greater than that for nitrogen and oxygen. The Rn adsorption performance was also investigated using KOH-modified activated carbon (KAC) with different pore sizes experimentally prepared using high-temperature roasting. The results showed that when the pore volume of KAC was significantly increased to approximately 0.55 nm, the Rn adsorption performance was obviously improved. Its adsorption coefficient reached 6.50 ± 0.11 m3 kg−1, which was 46.7 % higher than that of AC. After heating and regeneration in air, the Rn adsorption performance of KAC was basically unchanged. Combined with the comparative analysis using theoretical and experimental results, the relationship between the Rn adsorption performance of KAC and the pore volume at 0.55 nm is determined, and the accuracy of the GCMC calculation results was substantiated. This research provides a theoretical basis and an experimental method for improving the Rn adsorption performance of AC.
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
2秒前
飞哥与小佛完成签到,获得积分10
7秒前
开朗曼雁发布了新的文献求助10
16秒前
整齐诺言完成签到,获得积分10
26秒前
26秒前
小二郎应助科研通管家采纳,获得10
28秒前
努力加油煤老八完成签到,获得积分10
37秒前
漂亮的又槐完成签到,获得积分10
41秒前
49秒前
1分钟前
MchemG完成签到,获得积分0
1分钟前
小巧慕儿完成签到,获得积分10
1分钟前
1分钟前
cc发布了新的文献求助10
1分钟前
清脆夜阑完成签到,获得积分10
1分钟前
SCI的芷蝶完成签到 ,获得积分10
1分钟前
1分钟前
ping发布了新的文献求助10
1分钟前
ping完成签到,获得积分10
1分钟前
斯文含灵完成签到,获得积分10
1分钟前
1分钟前
诚心荟完成签到,获得积分10
1分钟前
1分钟前
1分钟前
2分钟前
科研通AI6.2应助卿亦佳人采纳,获得10
2分钟前
科研通AI6.2应助卿亦佳人采纳,获得10
2分钟前
ding应助卿亦佳人采纳,获得10
2分钟前
2分钟前
2分钟前
科研通AI6.4应助踏实梦柏采纳,获得10
2分钟前
2分钟前
猪宝发布了新的文献求助30
2分钟前
2分钟前
踏实梦柏发布了新的文献求助10
2分钟前
开心的芮完成签到,获得积分10
2分钟前
冷傲的忆安完成签到,获得积分10
2分钟前
Ali应助读书的时候采纳,获得10
2分钟前
3分钟前
3分钟前
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
Nine new races of Peronospora manshurica found on soybeans in the Midwest 1000
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 600
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Eudora Welty and Modern Media 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 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7772461
求助须知:如何正确求助?哪些是违规求助? 9314756
关于积分的说明 20339874
捐赠科研通 7357852
什么是DOI,文献DOI怎么找? 3316947
关于科研通互助平台的介绍 2465475
邀请新用户注册赠送积分活动 2331952