Genome-Based Models to Optimize In Situ Bioremediation of Uranium and Harvesting Electrical Energy from Waste Organic Matter

Lovley, Derek R

关键词: Unanium;    Bioremediation;    microbial electrosynthesis;    Genome-Based Models;   

DOI  :  10.2172/1058862
RP-ID  :  DOE/ER/63446-1
PID  :  OSTI ID: 1058862

学科分类：环境科学（综合）

美国|英语

来源: SciTech Connect

【 摘 要 】

The goal of this research was to provide computational tools to predictively model the behavior of two microbial communities of direct relevance to Department of Energy interests: 1) the microbial community responsible for in situ bioremediation of uranium in contaminated subsurface environments; and 2) the microbial community capable of harvesting electricity from waste organic matter and renewable biomass. During this project the concept of microbial electrosynthesis, a novel form of artificial photosynthesis for the direct production of fuels and other organic commodities from carbon dioxide and water was also developed and research was expanded into this area as well.