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Hydrophilicity Controllable rGO Sponge for Living Bioelectrogenesis Electrode

POSTER

Abstract

Herein, we report on a novel bioelectrode material that consists of partially reduced graphene oxide (rGO) sponge and Shewanella Onedensis MR-1 bacteria. We develop a new facile approach for the enhancement of output current of the sponge-bacteria electrode by optimization of the surface chemistry of sponge-electrode surface. We achieve simultaneous tuning hydrophilicity and conductivity of rGO by adjusting the reduction temperature of graphene oxide (GO). Thermal reduction is a sustainable approach that allows us to produce the scaffolds for bacteria growth with excellent biocompatibility without usage of chemicals. We find the rGO-sponge-electrode exhibit a GO-reduction-temperature reliable bio-current generation performance due to the discrepancy in rGO’s hydrophilicity and conductivity, where the sponge-bacteria shows a superior performance with the bio-current density reached 135 mA·m-2 in chronoamperometry test at the reduction temperature of 375°C. Furthermore, in contrast to existing polymer-based microbial electrode requiring several days activation time to form a conductive network, our rGO-sponge-electrode doesn’t require the activation time. The proposed here novel biocompatible graphene-based electrodes can be used for the design of the next generation of renewable energy-powered devices.

Publication: CARBON-D-22-04189

Presenters

  • Xuanye Leng

    NUS, Institute for Functional Intelligent Materials

Authors

  • Xuanye Leng

    NUS, Institute for Functional Intelligent Materials

  • Samantha R McCuskey

    NUS, I-FIM

  • Glenn Quek

    NUS, I-FIM

  • Ricardo Vazquez

    NUS, I-FIM

  • Yude Su

    University of Science and Technology of China, Suzhou Institute for Advanced Research

  • Mariana Costa

    NUS, I-FIM

  • Siyu Chen

    Institute for Functional Intelligent Materials, NUS, NUS, I-FIM

  • Musen Chen

    Natl Univ of Singapore, NUS, I-FIM

  • Kou Yang

    National University of Singapore, NUS, I-FIM

  • Jinpei Zhao

    NUS, I-FIM

  • Mo Lin

    NUS, I-FIM, Natl Univ of Singapore

  • Zhaolong Chen

    NUS, I-FIM, Institute for Functional Intelligent Materials, National University of Singapore

  • Guillermo Bazan

    NUS, I-FIM

  • Kostya S Novoselov

    Natl Univ of Singapore, NUS, I-FIM, Institute for Functional Intelligent Materials, National University of Singapore

  • Daria V Andreeva

    Natl Univ of Singapore, NUS, I-FIM