Deng Zongming, Zhang Yumin, Xu Dong, Zi Baoye, Zeng Jiyang, Lu Qiang, Xiong Kai, Zhang Jin, Zhao Jianhong, Liu Qingju
Yunnan Key Laboratory for Micro/Nano Materials & Technology, National Center for International Research on Photoelectric and Energy Materials, School of Materials and Energy, Yunnan University, Kunming 650091, P. R. China.
ACS Sens. 2022 Sep 23;7(9):2577-2588. doi: 10.1021/acssensors.2c00589. Epub 2022 Sep 1.
SnO has been a commonly researched gas-sensing material due to its low cost, good performance, and good stability. However, gas sensors based on pure SnO usually show a low response or high working temperature. In this work, laminar SnO was obtained by using a Sn-based metal organic framework(Sn-MOF)@SnO as a precursor. Sn-MOF@SnO is prepared at low temperatures using water and dimethylformamide as a solvent, which is simple, low cost, and easily reproducible. After sintering, Sn-MOF@SnO is derived to SnO with rich adsorbed oxygen, large specific surface area, and unique nanoparticle piled pores, thus showing excellent gas-sensing properties. The prepared SnO has an ultrahigh response value of 10,000 to 10 ppm formaldehyde at an optimal working temperature of 120 °C, a fast response/recovery time of 33 s/142 s, and an actual detection limit of lower than 10 ppb as well as high selectivity and high stability. Density functional theory calculations show that the exposed (110) plane of oxygen-rich vacancies in laminar SnO can effectively increase the coadsorption capacity of O and formaldehyde molecules, thereby improving the formaldehyde gas-sensing performance of the material. The present original approach paves the way to design advanced materials with excellent gas-sensing properties as well as broad application prospects in formaldehyde monitoring.
由于成本低、性能好和稳定性高,SnO一直是一种被广泛研究的气敏材料。然而,基于纯SnO的气体传感器通常响应较低或工作温度较高。在这项工作中,通过使用基于Sn的金属有机框架(Sn-MOF)@SnO作为前驱体获得了层状SnO。Sn-MOF@SnO在低温下以水和二甲基甲酰胺作为溶剂制备,方法简单、成本低且易于重现。烧结后,Sn-MOF@SnO转变为具有丰富吸附氧、大比表面积和独特纳米颗粒堆积孔的SnO,从而表现出优异的气敏性能。制备的SnO在120℃的最佳工作温度下对10 ppm甲醛具有10,000的超高响应值、33 s/142 s的快速响应/恢复时间、低于10 ppb的实际检测限以及高选择性和高稳定性。密度泛函理论计算表明,层状SnO中富氧空位暴露的(110)面可有效提高O和甲醛分子的共吸附能力,从而改善材料的甲醛气敏性能。本原创方法为设计具有优异气敏性能的先进材料以及在甲醛监测中的广泛应用前景铺平了道路。