AI summary

70% confidence

A single chamber microbial fuel cell (SCMFC) biosensor was investigated for measuring organic content in wastewater, with anode surface area affecting performance.

Generated by MESSAI extraction pipeline · review against source PDF

Literature priors

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.

Distribution

Reported parameters

The author’s reported value (▼) sits on top of the literature distribution from MESS-Parameters. Values outside the band are flagged as outliers.

Coulombic efficiency5%

7 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

This study reports an investigation of the effect of the anode surface area on the performance of a single chamber microbial fuel cell (SCMFC) based biosensor for measuring the organic content of wastewater. A packed bed of graphite granules was used as the anode. The surface area of the anode was changed by altering the granule bed thickness (0.3 cm and 1 cm). The anode surface area was found to play a role in the dynamic response of the system. For a granule bed thickness of 1 cm and with an external resistance of 500 Ω, the response time (defined as the time required to achieve 95% of the steady-state current) was reduced by approximately 65% in comparison to a SCMFC biosensor with a carbon cloth anode.

Key findings

  • Changing anode surface area by altering granule bed thickness (0.3 cm and 1 cm) impacts dynamic response.
  • A 1 cm granule bed thickness with 500 Ω external resistance reduces response time by approximately 65% compared to a carbon cloth anode.
  • Packed bed of graphite granules used as anode improves performance compared to carbon cloth anode.

Keywords

Microbial fuel cellWastewaterWaste managementSingle chamberPulp and paper industryBiosensor

Identifiers

Journal
Water Science and Technology
Year
2009