Suppr超能文献

用于超灵敏二氧化氮传感的氧化锌-黑磷复合材料

Zinc oxide-black phosphorus composites for ultrasensitive nitrogen dioxide sensing.

作者信息

Li Qun, Cen Yuan, Huang Jinyu, Li Xuejin, Zhang Hao, Geng Youfu, Yakobson Boris I, Du Yu, Tian Xiaoqing

机构信息

College of Physics and Energy, Shenzhen University, Shenzhen 518060, China.

出版信息

Nanoscale Horiz. 2018 Sep 1;3(5):525-531. doi: 10.1039/c8nh00052b. Epub 2018 May 30.

Abstract

Multi-layer black phosphorus (m-BP) has been successfully incorporated in zinc oxide (ZnO) hollow spheres, thus forming hetero-structured ZnO-BP composites; a study performed on their properties reveals that the BP environmental stability can be significantly enhanced by the introduction of ZnO, and the sensors based on ZnO-BP composites exhibit high response, fast response behavior, outstanding selectivity, and ultralow detection limit of 1 ppb towards NO gas molecules. The ultrasensitive sensing performance is suggested to be due to the large surface area, excellent carrier mobility, and enhanced charge transfer of ZnO-BP in the presence of BP. Moreover, the mechanism of NO sensing with ZnO-BP is confirmed by the calculations obtained from the first-principle studies.

摘要

多层黑磷(m-BP)已成功地掺入氧化锌(ZnO)空心球中,从而形成异质结构的ZnO-BP复合材料;对其性能进行的一项研究表明,通过引入ZnO可以显著提高BP的环境稳定性,并且基于ZnO-BP复合材料的传感器表现出高响应、快速响应行为、出色的选择性以及对NO气体分子的1 ppb超低检测限。超灵敏的传感性能被认为是由于ZnO-BP在存在BP时具有大表面积、优异的载流子迁移率和增强的电荷转移。此外,通过第一性原理研究得到的计算结果证实了ZnO-BP对NO的传感机制。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验