Metabolic composition of anode community predicts electrical power in microbial fuel cells (2014)

First Author: Gruning A

Attributed to: Models and Mathematics in LifE and Social Sciences (MILES). funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1101/002337

Publication URI: http://dx.doi.org/10.1101/002337

Type: Preprint