张华

个人信息Personal Information

教授

硕士生导师

性别:男

毕业院校:大连理工大学

学位:博士

所在单位:化工学院

学科:应用化学. 精细化工. 分析化学

电子邮箱:zhanghua@dlut.edu.cn

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Reduced graphene oxide modified with hierarchical flower-like In(OH)(3) for NO2 room-temperature sensing

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论文类型:期刊论文

发表时间:2015-07-31

发表刊物:SENSORS AND ACTUATORS B-CHEMICAL

收录刊物:SCIE、EI、Scopus

卷号:214

页面范围:36-42

ISSN号:0925-4005

关键字:In(OH)(3); Graphene; Sensor; NO2

摘要:For gas sensors, graphene modified with functional micro- and nanomaterials has been considered as promising materials to improve the sensing performances. In this report, graphene modified by hierarchical flower-like In(OH)(3), for the first time, was prepared by a one-step microwave-assisted hydrothermal method. The as-obtained In(OH)(3)/rGO composites exhibited loosely hierarchical flower morphology, thus was favourable for sensing performance enhancement. A room-temperature NO2 sensor based on as-synthesized In(OH)(3)/rGO composites was fabricated, and displayed an excellent selectivity and a significant response to NO2 with a concentration lower to 1 ppm. The results also revealed that the sensor exhibited a rapid recovery in exposure of water vapour, compared to natural recovery in air. The enhanced NO2 sensing performances were attributed to the synergistic effect of functional In(OH)(3) and graphene in the unique composites. (C) 2015 Elsevier B.V. All rights reserved.