AI summary

70% confidence

Plant microbial fuel cells using mosses can generate sufficient electrical power to power a radio or environmental sensor.

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

31 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

Plant microbial fuel cells are a recently developed technology that exploits photosynthesis in vascular plants by harnessing solar energy and generating electrical power. In this study, the model moss species Physcomitrella patens , and other environmental samples of mosses, have been used to develop a non-vascular bryophyte microbial fuel cell (bryoMFC). A novel three-dimensional anodic matrix was successfully created and characterized and was further tested in a bryoMFC to determine the capacity of mosses to generate electrical power. The importance of anodophilic microorganisms in the bryoMFC was also determined. It was found that the non-sterile bryoMFCs operated with P. patens delivered over an order of magnitude higher peak power output (2.6 ± 0.6 µW m −2 ) than bryoMFCs kept in near-sterile conditions (0.2 ± 0.1 µW m −2 ). These results confirm the importance of the microbial populations for delivering electrons to the anode in a bryoMFC. When the bryoMFCs were operated with environmental samples of moss (non-sterile) the peak power output reached 6.7 ± 0.6 mW m −2 . The bryoMFCs operated with environmental samples of moss were able to power a commercial radio receiver or an environmental sensor (LCD desktop weather station).

Key findings

  • [object Object]

Keywords

BryophytePhyscomitrella patensMossMicrobial fuel cellAnodePhotosynthesis

Identifiers

Journal
Royal Society Open Science
Year
2016