journal article·2025-11-25

Selective Detection of Aromatic VOCs by Monolayer Ti 2 CO 2 MXene: A First-Principles Study

Pengfei Yu, Nianxiang Qiu, Haijing Liang, Dongyang Li, Chenchen Qi, Yiming Zhang, Juhong Yu, Yong Liu, Yangyang Song, Liang Zhang, Zhengang Sun, Shiyu Du

ACS Applied Electronic Materials· Volume 7· Issue 22
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Abstract

Volatile organic compounds (VOCs), particularly aromatic pollutants such as benzene and toluene, pose severe environmental and health risks, necessitating the development of highly selective and sensitive gas sensors. Here, we systematically investigate Ti 2 CO 2 as a chemiresistive sensor for five representative VOCs (benzene, toluene, methanol, ethanol, and acetone) using first-principles calculations and Boltzmann transport theory. Ti 2 CO 2 exhibits strong adsorption affinity and remarkable selectivity toward benzene and toluene, with adsorption energies of −0.615 and −0.725 eV, respectively. This selectivity originates from strong π–p orbital hybridization and feedback interactions with O-2p states. Charge transfer and density of states analyses confirm the formation of impurity states near the Fermi level, effectively modulating electronic and transport properties. Notably, benzene and toluene show favorable recovery times (2.15 × 10 –2 s and 1.51 s) and significant sensing responses under both hole- and electron-dominated conduction. Upon adsorption, hole conductivity decreases while electron conductivity increases, consistent with a charge-transfer-driven sensing mechanism. The sensing responses reach −72.53 and −53.49% for benzene and toluene under hole-dominated conduction and 41.98 and 221.14% under electron-dominated conduction. These results establish Ti 2 CO 2 as a promising platform for room-temperature, high-performance VOC detection, particularly for aromatic gases, and provide insights for designing next-generation MXene-based sensors.
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Research context

OpenAlex topics: MXene and MAX Phase Materials · 2D Materials and Applications · Gas Sensing Nanomaterials and Sensors

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Materials Science and Engineering

China University of Petroleum (East China)

Yangtze Delta Region Institute (Huzhou)

University of Electronic Science and Technology

School of Computer Science

Zhejiang Key Laboratory of Data-Driven High-Safety Energy Materials and Applications

Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences

Department of Chemistry

University of Colorado Denver

Putuo People’s Hospital, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology

Tongji University

Department of Spinal Surgery

Qingdao Huangdao Central Hospital

Funding

Science and Technology Innovation 2025 Major Project of Ningbo Municipality · National Key Research and Development Program of China · Key Research and Development Program of Zhejiang Province · National Natural Science Foundation of China · Yangtze Delta Region Institute (Huzhou) Guidance Fund of University of Electronic Science and Technology of China

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