Adsorption of Typical VOCs Onto Ti2CO2 MXene with Implications in Early-Stage Lung Cancer Diagnosis: A DFT Study

IF 2.9 4区 工程技术 Q1 MULTIDISCIPLINARY SCIENCES
Youssef Chlikhy, M'hammed Mazroui
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Abstract

In this work, Ti2CO2 MXene is employed as a sensing material to detect volatile organic compounds (VOCs). Using Density Functional Theory (DFT) calculations, the adsorption properties of toluene, isopropanol, formaldehyde, and acetonitrile are calculated and compared. The electronic properties are analyzed to gain insight into the adsorption mechanism. Additionally, the recovery time and sensitivities are studied to evaluate the sensing performance of Ti2CO2 in detecting these VOCs. The results show that the four molecules undergo physisorption. Bader charge analysis shows a small charge transfer from the molecules to the MXene material. The adsorption of these molecules induces changes in the electronic properties of Ti2CO2, particularly in terms of resistance and work function. These changes are used to estimate the sensing response of this material toward these VOCs. Notably, the results highlight that Ti2CO2 exhibits good sensitivity and selectivity, especially in the case of isopropanol. These findings demonstrate the ability of Ti2CO2 as a sensing material for detecting VOCs for the early diagnosis of cancer.

Abstract Image

典型挥发性有机化合物在 Ti2CO2 MXene 上的吸附及其对早期肺癌诊断的影响:DFT 研究
在这项研究中,Ti2CO2 MXene 被用作检测挥发性有机化合物 (VOC) 的传感材料。利用密度泛函理论(DFT)计算,计算并比较了甲苯、异丙醇、甲醛和乙腈的吸附特性。通过分析电子特性,可以深入了解吸附机理。此外,还研究了恢复时间和灵敏度,以评估 Ti2CO2 检测这些挥发性有机化合物的传感性能。结果表明,四种分子都发生了物理吸附。Bader 电荷分析表明,分子向 MXene 材料转移了少量电荷。这些分子的吸附引起了 Ti2CO2 电子特性的变化,特别是在电阻和功函数方面。这些变化可用于估算这种材料对这些挥发性有机化合物的传感响应。值得注意的是,研究结果表明 Ti2CO2 具有良好的灵敏度和选择性,尤其是在异丙醇的情况下。这些研究结果表明,Ti2CO2 可作为检测挥发性有机化合物的传感材料,用于癌症的早期诊断。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Advanced Theory and Simulations
Advanced Theory and Simulations Multidisciplinary-Multidisciplinary
CiteScore
5.50
自引率
3.00%
发文量
221
期刊介绍: Advanced Theory and Simulations is an interdisciplinary, international, English-language journal that publishes high-quality scientific results focusing on the development and application of theoretical methods, modeling and simulation approaches in all natural science and medicine areas, including: materials, chemistry, condensed matter physics engineering, energy life science, biology, medicine atmospheric/environmental science, climate science planetary science, astronomy, cosmology method development, numerical methods, statistics
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