Microbial Migration: Implications for Bioremediation Technologies

微生物迁移：对生物修复技术的影响

• 批准号: 9009725
• 负责人: Roseanne Ford
• 金额: $ 1.7万
• 依托单位: University of Virginia Main Campus
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1990
• 资助国家: 美国
• 起止时间: 1990-06-01 至 1991-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9009725&HistoricalAwards=false
• 关键词: Microbial; Migration; Implications; Bioremediation; Technologies

Bioremediation is an emerging technology which exploits the natural degradative processes of microorganisms for the purpose of cleaning up chemical wastes. Although several case studies have reported impressive results, for example the restoration of the Alaskan coastline following the recent oil spill, the processes controlling the rates of chemical degradation are not well understood. One aspect which has not been fully investigated is the role of bacterial population migration. Motile bacteria are able to move in response to chemical gradients toward beneficial substances and away from substances which may be detrimental to their survival. The purpose of this study is to determine the significance of bacterial migration in bioremediation processes and its potential for accelerating the overall rate of chemical degradation. Experimental studies will measure bacterial motility and chemotaxis in terms of population parameters derived from known cell mechanisms for a model system such as Pseudomonas and benzene. These parameters will be incorporated into mathematical models describing bacterial population dynamics to determine their effect on the population. The results will be used to determine the feasibility of this type of study and approach and also provide direction for the development of a research program in the area of bioremediation.

生物修复是一种新兴技术， 微生物的自然降解过程， 清理化学废物的目的。 虽然 一些案例研究报告了令人印象深刻的结果， 例如，阿拉斯加海岸线的恢复， 最近的石油泄漏，控制速度的过程 对化学降解的认识还不太清楚。 一 尚未充分研究的方面是 细菌种群的迁移。 能动细菌是 能够响应化学梯度移动， 有益物质和远离物质， 对他们的生存不利。 这样做的目的 研究旨在确定细菌的重要性， 生物修复过程中的迁移及其潜力 加速了化学降解的整体速度。 实验研究将测量细菌运动性， 趋化性的人口参数来源于 用于模型系统的已知单元机构 假单胞菌和苯。 这些参数将 结合到描述细菌的数学模型中 人口动态以确定其对 人口 结果将用于确定 这类研究和方法的可行性， 为研究的发展提供方向 在生物修复领域。