Exploring the Gas Sensing Performances of O-Functionalized TiVC MXene: Mechanistic Insights from Computations

计算 纳米技术 材料科学 化学 计算机科学 算法
作者
Archana Singh Kharb,Kamal Kumar,Amit Kumar Chawla,Abhishek Kumar Mishra
出处
期刊:Physical Chemistry Chemical Physics [Royal Society of Chemistry]
标识
DOI:10.1039/d5cp00296f
摘要

The detection of toxic gases remains a critical challenge for environmental safety, and MXenes have rapidly emerged as innovative materials for sensor development. In this work, we break new ground by exploring the sensing capabilities of O-functionalized TiVC MXene, a material not yet studied for gas sensing applications. Ab initio molecular dynamics (AIMD) simulations confirm the monolayer's dynamical stability at 300 K. Using first-principles-based DFT calculations, we systematically analyze the interaction of H2, CO, NO, NO2, and SO2 gas analytes with the TiVCO2 surface. Our study highlights key parameters such as adsorption strength, charge transfer, change in work function, and gas desorption time, critical to sensitivity and selectivity-core elements of the 4-S principle (sensitivity, selectivity, stability, and speed). The robust interaction energies (≤-48 kJ mol-1), short interaction distances, and significant charge transfer suggest that NO adsorption on TiVCO2 is characterized by strong physisorption, governed by hybridization of the 3d-orbitals of titanium and vanadium with the p-orbital of nitrogen. Notably, the change in work function upon interaction comes out to be >0.1 eV and the calculated desorption time of NO at 300 K is 1.74 s, making this MXene a highly promising candidate for NO gas detection at room temperature. Other gases exhibited much weaker physisorption with nanosecond desorption times, reinforcing the selective nature of TiVCO2 for NO detection. These findings offer insights into the use of O-functionalized TiVC MXene for gas sensors, with the potential to revolutionize the design of high-performance sensing devices in environmental monitoring and industrial applications.

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
田田完成签到,获得积分10
2秒前
今天也要好好学习完成签到,获得积分10
2秒前
踏实夏瑶完成签到,获得积分20
3秒前
lbt完成签到,获得积分10
3秒前
清秀千兰发布了新的文献求助10
4秒前
weiwei完成签到 ,获得积分10
4秒前
4秒前
4秒前
4秒前
Meiyu发布了新的文献求助10
4秒前
moment关注了科研通微信公众号
5秒前
5秒前
YOLO发布了新的文献求助20
5秒前
6秒前
勤劳糜完成签到 ,获得积分10
7秒前
jiyishuaxin完成签到,获得积分10
7秒前
7秒前
7秒前
pierre_gasly完成签到,获得积分10
7秒前
乔杰发布了新的文献求助10
8秒前
桐桐应助Meiyu采纳,获得10
8秒前
英姑应助yinzzzzzzz采纳,获得10
8秒前
未改完成签到,获得积分10
8秒前
Johnpick发布了新的文献求助10
9秒前
上官若男应助铁树采纳,获得10
9秒前
9秒前
K2L完成签到,获得积分10
9秒前
xiaoarui17发布了新的文献求助10
10秒前
CEJ发布了新的文献求助10
10秒前
10秒前
新宇星辰发布了新的文献求助20
11秒前
chiweiyoung完成签到,获得积分10
11秒前
搞怪的归尘完成签到,获得积分10
11秒前
12秒前
12秒前
Tian发布了新的文献求助10
12秒前
杀手猪猫发布了新的文献求助10
12秒前
Ray完成签到,获得积分10
12秒前
小二郎应助林子青采纳,获得10
13秒前
潇湘夜雨发布了新的文献求助10
14秒前
高分求助中
Chinesen in Europa – Europäer in China: Journalisten, Spione, Studenten 500
Arthur Ewert: A Life for the Comintern 500
China's Relations With Japan 1945-83: The Role of Liao Chengzhi // Kurt Werner Radtke 500
Two Years in Peking 1965-1966: Book 1: Living and Teaching in Mao's China // Reginald Hunt 500
Epigenetic Drug Discovery 500
Hardness Tests and Hardness Number Conversions 300
Knowledge management in the fashion industry 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3816738
求助须知:如何正确求助?哪些是违规求助? 3360137
关于积分的说明 10406832
捐赠科研通 3078164
什么是DOI,文献DOI怎么找? 1690598
邀请新用户注册赠送积分活动 813910
科研通“疑难数据库(出版商)”最低求助积分说明 767889