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Preparation and Gas Sensing Property of PEDOT/Silica Aerogel Fibers

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Advanced Functional Materials (CMC 2017)

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Abstract

Porous materials, as their high specific surface area, are commonly used in NH3-sensing. And when NH3-sensing materials are made into the form with interconnected pore structure, low-dimensional structure or hierarchical structure, their gas-sensitivity will be improved remarkably. Here, firstly silica aerogel fibers were prepared by wet spinning. Those fibers do not only preserve high specific surface area (maximum one is 835.8 m2/g) and network organization, but also have unique hierarchical structure (macropores in the surface and mesopores in the middle regions) and regular hollow structure. And then PEDOT was synthesized and loaded on the net skeletons of silica aerogel fibers by gas phase polymerization. The specific surface area and pore structure of PEDOT/silica aerogel fibers can be adjusted by change aging bath. Finally, the results of NH3 sensitivity experiment showed that all fibers have good gas sensitive, especially A0.5-PEDOT/SAFs (resistance variation is over 40%).

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Acknowledgements

This work was supported by Shanghai Fundamental Research Projects (Project No. 16JC1400701) and Program for Changjiang Scholars and Innovative Research Team in University (IRT16R13).

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Authors and Affiliations

  1. The State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, China

    Si Meng, Xi-yue Huang, Xing-ping Wang, Jun-yan Zhang, Wen-ping Chen & Mei-fang Zhu

Authors
  1. Si Meng
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  2. Xi-yue Huang
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  3. Xing-ping Wang
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  4. Jun-yan Zhang
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  5. Wen-ping Chen
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  6. Mei-fang Zhu
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Correspondence to Mei-fang Zhu .

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Editors and Affiliations

  1. Chinese Materials Research Society, Beijing, China

    Yafang Han

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Meng, S., Huang, Xy., Wang, Xp., Zhang, Jy., Chen, Wp., Zhu, Mf. (2018). Preparation and Gas Sensing Property of PEDOT/Silica Aerogel Fibers. In: Han, Y. (eds) Advanced Functional Materials. CMC 2017. Springer, Singapore. https://doi.org/10.1007/978-981-13-0110-0_83

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