AI summary

80% confidence

Microbial fuel cells using Clostridium beijerinckii SR1 can efficiently generate bioelectricity from sago hampas, a starchy biomass, with a maximum power density of 73.8 mW/cm².

Generated by MESSAI extraction pipeline · review against source PDF

Generic MFCRepresentative model
Click to animate flow
loading 3D model…

Representative MFC — matched on the paper’s system type only, not its reactor or geometry.

Extraction

Reported parameters

4 extracted values

View extracted values

Open in lab for full controls, parameter editing, and template overlays.

Open in lab →

What they did

System
MFC

What worked

No outcome metrics extracted yet.

Abstract

Microbial fuel cells offer a technology for simultaneous biomass degradation and biological electricity generation. Microbial fuel cells have the ability to utilize a wide range of biomass including carbohydrates, such as starch. Sago hampas is a starchy biomass that has 58% starch content. With this significant amount of starch content in the sago hampas, it has a high potential to be utilized as a carbon source for the bioelectricity generation using microbial fuel cells by Clostridium beijerinckii SR1. The maximum power density obtained from 20 g/L of sago hampas was 73.8 mW/cm² with stable cell voltage output of 211.7 mV. The total substrate consumed was 95.1% with the respect of 10.7% coulombic efficiency. The results obtained were almost comparable to the sago hampas hydrolysate with the maximum power density 56.5 mW/cm². These results demonstrate the feasibility of solid biomass to be utilized for the power generation in fuel cells as well as high substrate degradation efficiency. Thus, this approach provides a promising way to exploit sago hampas for bioenergy generation.

Key findings

  • Maximum power density of 73.8 mW/cm² was obtained from 20 g/L of sago hampas.
  • Stable cell voltage output of 211.7 mV was achieved.
  • Total substrate consumed was 95.1% with a coulombic efficiency of 10.7%.

Keywords

Microbial fuel cellBiomass (ecology)Clostridium beijerinckiiBioenergyHydrolysateElectricity generation

Identifiers

Journal
Molecules
Year
2019