Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.2172/1058862 |
报告编号 | DOE/ER/63446-1 |
来源ID | OSTI ID: 1058862 |
Genome-Based Models to Optimize In Situ Bioremediation of Uranium and Harvesting Electrical Energy from Waste Organic Matter | |
Lovley, Derek R | |
2012-12-28 | |
出版年 | 2012 |
语种 | 英语 |
国家 | 美国 |
领域 | 地球科学 |
英文摘要 | 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. |
英文关键词 | Unanium Bioremediation microbial electrosynthesis Genome-Based Models |
URL | 查看原文 |
来源平台 | US Department of Energy (DOE) |
引用统计 | |
文献类型 | 科技报告 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/5721 |
专题 | 地球科学 |
推荐引用方式 GB/T 7714 | Lovley, Derek R. Genome-Based Models to Optimize In Situ Bioremediation of Uranium and Harvesting Electrical Energy from Waste Organic Matter,2012. |
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