Supramolecular fabrication of polyelectrolyte-modified reduced graphene oxide for NO2 sensing applications
Supramolecular fabrication of polyelectrolyte-modified reduced graphene oxide for NO2 sensing applications
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用于 NO2 传感应用的聚电解质改性还原氧化石墨烯的超分子制造
DOI：
10.1016/j.ceramint.2015.06.030
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发表时间：
2015-11
影响因子：
5.2
通讯作者：
Wang Yao
中科院分区：
文献类型：
--
作者：
Li Xueyan;Umar Ahmad;Chen Zhuo;Tian Tong;Wang Shiwei;Wang Yao
本文报道了聚电解质改性还原氧化石墨烯 (rGO) 纳米复合材料的超分子制备及其在 NO2 气体传感器中的应用。为了制备用于传感应用的复合材料，使用rGO作为模板，该模板可以通过水合肼的还原轻松制备。通过使用简便有效的超分子组装（SA）方法，制备了两种纳米复合材料，即聚（盐酸烯丙胺）-rGO（PAH-rGO）和聚苯乙烯磺酸盐-rGO（PSS-rGO），并有效地用作制造高灵敏度和稳定的NO2气体传感器的有效材料。使用多种技术对制备的纳米复合材料进行了检查，证实了 PAH-rGO 和 PSS-rGO 纳米复合材料的成功形成。通过详细的传感实验，发现PSS-rGO和PAH-rGO纳米复合材料对NO2气体的检测表现出较强的气敏响应、良好的稳定性和良好的可逆性。最后，本文还讨论并介绍了基于特定纳米复合材料的 NO2 气体传感机制。
This paper reports the supramolecular fabrication of polyelectrolyte-modified reduced graphene oxide (rGO) nanocomposites and their applications towards NO2gas sensors. To prepare the composite materials for sensing applications, rGO was used as a template which was readily prepared through the reduction of hydrazine hydrate. By using a facile and effective supramolecular assembly (SA) method, two nanocomposites, i.e. poly(allylamine hydrochloride)–rGO (PAH–rGO) and polystyrenesulfonate-rGO (PSS–rGO) were prepared and efficiently used as effective materials to fabricate highly sensitive and stable NO2gas sensors. The prepared nanocomposites were examined using several techniques which confirmed the successful formation of PAH–rGO and PSS–rGO nanocomposites. By detailed sensing experiments, it was found that both PSS–rGO and PAH–rGO nanocomposites exhibited strong gas sensing response, good stability and favorable reversibility for the detection of NO2gas. Finally, NO2gas sensing mechanisms, based on the utilization of specific nanocomposites, were also discussed and presented in this paper.
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影响因子：
4.9
作者：
Chen, Lichan;Wu, Bo;Kim, Dong-Hwan
通讯作者：
Kim, Dong-Hwan
DOI：
10.1002/chin.200339252
发表时间：
2003-07
期刊：
ChemInform
影响因子：
--
作者：
Tong Lin;V. Bajpai;T. Ji;L. Dai
通讯作者：
Tong Lin;V. Bajpai;T. Ji;L. Dai
影响因子：
38.3
作者：
Hernandez, Yenny;Nicolosi, Valeria;Coleman, Jonathan N.
通讯作者：
Coleman, Jonathan N.
DOI：
10.1016/b978-0-12-818641-1.00006-x
发表时间：
2020
期刊：
--
影响因子：
--
作者：
O. Penkov
通讯作者：
O. Penkov
影响因子：
17.1
作者：
Lu, Ganhua;Park, Sungjin;Chen, Junhong
通讯作者：
Chen, Junhong