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<p>Microbial Fuel Cells (MFCs) are sustainable energy technologies that produce electricity by deploying microbes as catalysts. Scaling down MFCs is an effective strategy for producing quantifiable amounts of electricity, with the potential to operate low-power devices and sensors. A single inlet-outlet spiral microfluidic microbial fuel cell chamber was fabricated using additive manufacturing. Polydimethylsiloxane (PDMS)-based, flexible, porous aerogel anodes were mixed with graphene nanoparticles and iron oxide nanoparticles. Commercial sugar was used as the sacrificial template for the porous surface. Response Surface Methodology (RSM) with Central Composite Design (CCD) was used to optimize the maximum power density by adjusting four factors - filler concentration, glucose concentration, time for biofilm formation, and external resistance. A statistically significant model correlating four independent factors to power density achieved a maximum power density of 19.38 ± 4.798 mW/mm<sup>3</sup>, when the factors were optimized with various constraints.</p>

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Performance optimization of 3D-printed spiral microfluidic microbial fuel cell with flexible aerogel electrodes

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年12月29日

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  • Srinithya Ravinuthala,
  • Patel Rutveek Narendrabhai,
  • Saravanan Settu,
  • Saprativ P. Das

摘要

Microbial Fuel Cells (MFCs) are sustainable energy technologies that produce electricity by deploying microbes as catalysts. Scaling down MFCs is an effective strategy for producing quantifiable amounts of electricity, with the potential to operate low-power devices and sensors. A single inlet-outlet spiral microfluidic microbial fuel cell chamber was fabricated using additive manufacturing. Polydimethylsiloxane (PDMS)-based, flexible, porous aerogel anodes were mixed with graphene nanoparticles and iron oxide nanoparticles. Commercial sugar was used as the sacrificial template for the porous surface. Response Surface Methodology (RSM) with Central Composite Design (CCD) was used to optimize the maximum power density by adjusting four factors - filler concentration, glucose concentration, time for biofilm formation, and external resistance. A statistically significant model correlating four independent factors to power density achieved a maximum power density of 19.38 ± 4.798 mW/mm3, when the factors were optimized with various constraints.