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Title: A 3D chemically modified graphene hydrogel for fast, highly sensitive, and selective gas sensor
Authors: Wu, Jin
Tao, Kai
Guo, Yuanyuan
Li, Zhong
Wang, Xiaotian
Luo, Zhongzhen
Feng, Shuanglong
Du, Chunlei
Chen, Di
Miao, Jianmin
Norford, Leslie K.
Keywords: Chemical Detection
Chemically-modified Graphene
Issue Date: 2017
Source: Wu, J., Tao, K., Guo, Y., Li, Z., Wang, X., Luo, Z., et al. (2017). A 3D Chemically Modified Graphene Hydrogel for Fast, Highly Sensitive, and Selective Gas Sensor. Advanced Science, 4(3), 1600319-.
Series/Report no.: Advanced Science
Abstract: Reduced graphene oxide (RGO) has proved to be a promising candidate in high‐performance gas sensing in ambient conditions. However, trace detection of different kinds of gases with simultaneously high sensitivity and selectivity is challenging. Here, a chemiresistor‐type sensor based on 3D sulfonated RGO hydrogel (S‐RGOH) is reported, which can detect a variety of important gases with high sensitivity, boosted selectivity, fast response, and good reversibility. The NaHSO3 functionalized RGOH displays remarkable 118.6 and 58.9 times higher responses to NO2 and NH3, respectively, compared with its unmodified RGOH counterpart. In addition, the S‐RGOH sensor is highly responsive to volatile organic compounds. More importantly, the characteristic patterns on the linearly fitted response–temperature curves are employed to distinguish various gases for the first time. The temperature of the sensor is elevated rapidly by an imbedded microheater with little power consumption. The 3D S‐RGOH is characterized and the sensing mechanisms are proposed. This work gains new insights into boosting the sensitivity of detecting various gases by combining chemical modification and 3D structural engineering of RGO, and improving the selectivity of gas sensing by employing temperature dependent response characteristics of RGO for different gases.
DOI: 10.1002/advs.201600319
Schools: School of Materials Science & Engineering 
School of Mechanical and Aerospace Engineering 
Rights: © 2016 The Authors. Published by WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Journal Articles

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