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32. A temperature-induced conductive coating via layer-by-layer assembly of functionalized graphene oxide and carbon nanotubes for a flexible, adjustable response time flame sensor

Author

Pengju Liu, Wenfeng Duan, Wenhua Chen, Yuan Liu, and Qi Wang

Subjects
Materials science, General Chemical Engineering, Oxide, 02 engineering and technology, Carbon nanotube, engineering.material, 010402 general chemistry, 01 natural sciences, Industrial and Manufacturing Engineering, law.invention, chemistry.chemical_compound, Electrical resistance and conductance, Coating, law, Environmental Chemistry, Composite material, Electrical conductor, Graphene, Layer by layer, General Chemistry, 021001 nanoscience & nanotechnology, 0104 chemical sciences, Combustibility, chemistry, engineering, 0210 nano-technology
Abstract

A multilayered coating of Phenoxycyclophosphazene-functionalized graphene oxide (FGO) and chitosan-functionalized carbon nanotubes (CNTs) for wood pulp paper (WPP) is designed by a facile layer-by-layer assembly method. The obtained FGO/CNTs coated WPP shows enhanced mechanical properties as well as improved flame retardancy without deteriorating the intrinsic flexibility of WPP. Meanwhile, the electrical resistance of the hybrid FGO/CNTs structure is highly sensitive to flame and temperature, which makes the coated WPP an ideal fire sensor. The as-prepared flexible FGO/CNTs coated WPP sensor exhibits excellent shape retentivity and flame retardancy when burnt by ethanol flame or heat treated, and can detect fire by sensing the elevated temperature in several seconds before igniting the combustible materials. Besides, the response time is adjustable by varying the content of CNTs in constructing the hybrid conductive network. These results suggest that the novel design of multilayer coating of FGO/CNTs on WPP has great potential in the applications of advanced fire alarm systems.

Published
2018
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33. Controlled synthesis of ordered sandwich CuCo2O4/reduced graphene oxide composites via layer-by-layer heteroassembly for high-performance supercapacitors

Author

Zhong-Ai Hu, Pengju Liang, and Fang Wang

Subjects
Materials science, General Chemical Engineering, Composite number, Oxide, Nanoparticle, Graphite oxide, 02 engineering and technology, engineering.material, 010402 general chemistry, 01 natural sciences, Industrial and Manufacturing Engineering, law.invention, chemistry.chemical_compound, law, Environmental Chemistry, Composite material, Supercapacitor, Graphene, Layer by layer, Layered double hydroxides, General Chemistry, 021001 nanoscience & nanotechnology, 0104 chemical sciences, chemistry, engineering, 0210 nano-technology
Abstract

A novel binary composite consisting of CuCo2O4 nanocrystals and reduced graphene oxide is synthesized via a self-assembly approach combined with subsequent annealing. Cu-Co layered double hydroxides and graphite oxide are firstly exfoliated to charged monomolecular nanosheets. Controlled assembly between positively charged Cu-Co layered double hydroxides nanosheets and negatively charged graphene oxide affords the formation of sandwich-like precursor. After subsequent annealing, Cu-Co layered double hydroxides in the precursor is transformed into CuCo2O4 nanoparticles, while graphene oxide is reduced into reduced graphene oxide simultaneously. The channel architecture formed between CuCo2O4 nanoparticles and alternating reduced graphene oxide nanosheets provides a fast diffusion access for reaction species. The resultant composite delivers an initial specific capacitance of 291 F g−1 (or 40.4 mA h g−1)with potential ranging from 0.05 V to 0.55 V at 1 A g−1. In Particular, the specific capacitance of the composite reaches 389 F g−1 (or 54 mA h g−1) at 1200th cycle and maintains no decay after extending to 5600 cycles. CuCo2O4 in the composite achieves a high specific capacitance of 978 F g−1 (or 136 mA h g−1) at 3 A g−1 if the weight percentage of components is corrected. In addition, the crucial influence of microstructures of the composite on its capacitive behaviors is deeply investigated by corresponding characterizations.

Published
2018
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