| Title: | First-principles insights into the C(6)N(7) monolayer as a highly efficient sensor and scavenger for the detection of selective volatile organic compounds |
| Author(s): | Zhang R; Wang Z; Hou Q; Yuan X; Yong Y; Cui H; Li X; |
| Address: | "School of Physics and Engineering, Henan University of Science and Technology Luoyang 471023 China ylyong@haust.edu.cn. Advanced Materials Science Innovation Center, Longmen Laboratory Luoyang 471003 China. School of Materials Science and Engineering, Henan University of Science and Technology Luoyang 471023 China" |
| ISSN/ISBN: | 2046-2069 (Electronic) 2046-2069 (Linking) |
| Abstract: | "The design of new gas sensors and scavengers of volatile organic compounds (VOCs) is desirable for VOC enriching, separation and utilization. Herein, first-principles methods were performed to investigate the potential of C(6)N(7) monolayers as highly efficient sensors and scavengers for selective VOCs (toluene, benzene, vinyl chloride, ethane, methanal, acetone, ethanol, and acetaldehyde). The physisorption of toluene, benzene, acetone, ethanol, acetaldehyde, and methanal has relatively high adsorption strength and can significantly tune the electronic properties and work function (Phi) of the C(6)N(7), indicating that the C(6)N(7) monolayer is highly sensitive and selective to these VOC gases. In addition, the desorption time of benzene, acetone, ethanol, acetaldehyde, and methanal is about 3, 0.4, 2.0 x 10(-2), 3.0 x 10(-2), and 3.6 x 10(-5) s at 300 K, respectively, indicating that the C(6)N(7)-based sensor has high reusability at room temperature. The recovery time of toluene was about 7.8 x 10(2) s at 300 K, showing disposable toluene gas sensing of the monolayer. Our work confirms that the C(6)N(7) monolayer as a resistance-type and Phi-type gas sensor and scavenger is highly sensitive, selective and reusable for VOCs (benzene, acetone, ethanol, acetaldehyde, and methanol), but is a disposable toluene gas sensor and scavenger at room temperature" |
| Notes: | "PublisherZhang, Ruishan Wang, Zihao Hou, Qihua Yuan, Xiaobo Yong, Yongliang Cui, Hongling Li, Xinli eng England 2023/10/04 RSC Adv. 2023 Oct 2; 13(41):28703-28712. doi: 10.1039/d3ra05573f. eCollection 2023 Sep 26" |
