BIODEGRADATION OF ORGANIC POLLUTANT MIXTURES--LUMPED KINETICS

有机污染物混合物的生物降解——集总动力学

• 批准号: 6217696
• 负责人: KENNETH F REARDON
• 金额: $ 14.74万
• 依托单位: COLORADO STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-04-01 至 2001-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6217696
• 关键词: Pseudomonas; benzene; bioreactors; biotransformation; chemical kinetics; chloroform; industrial waste; microorganism metabolism; naphthalenes; phenols; pollutant interaction; polymerase chain reaction; single strand conformation polymorphism; soil pollution; toluene; trichloroethylene; water pollution

Currently, very little quantitative information is available on the rates and patterns of microbial degradation of mixtures of pollutants. Many different types of interactions between these compounds are possible, including cometabolism, inhibition, and neutrality. Knowledge of these interactions and their kinetics is vital, not only for the design of bioreactors that can be used to remediate contaminated water but also for the prediction of the fate of pollutants in the environment, which is critical for the assessment of ecological and human health risks. Furthermore, knowledge about biodegradation must be relevant to real situations; thus, the impact of factors such as pollutant sorption must be taken into account. The long-term objectives of this research effort are to understand microbial degradation of pollutant mixtures in soil, water, and bioreactor environments, and to harness this knowledge in the form of enhanced bioreactor technology. The specific aims ar to: (1) investigate biodegradation substrate interactions an test a new modeling approach to predict mixed pollutant biodegradation rates; (2) evaluate the impact of sorption to humic acid on biodegradation; (3) determine the relationships between microbial population dynamics an the biodegradation of pollutant mixtures; The research design is based on the measurement of biodegradation rates of single pollutants and pollutant pairs, followed by the application of lumped modeling approaches to rapidly extend the size of the mixtures that can be considered. When the basic mixture kinetics have been analyzed, perturbations to the system, in the forms of sorption and predation, will be applied. The major technique to be utilized is measurement of kinetics in batch bioreactor cultivations, but the most novel and potentially powerful method is the use of SSCP-PCR to observe microbial population dynamics.

目前，有关费率的定量信息非常少 污染物混合物的微生物降解模式。许多 这些化合物之间可能存在不同类型的相互作用， 包括共代谢、抑制和中性。 这些知识 相互作用及其动力学至关重要，不仅对于设计 生物反应器可用于修复受污染的水，也可用于 预测环境中污染物的归宿，即 对于评估生态和人类健康风险至关重要。 此外，有关生物降解的知识必须与实际情况相关。 情况；因此，污染物吸附等因素的影响必须是 考虑到。 这项研究工作的长期目标是了解 土壤、水和生物反应器中污染物混合物的微生物降解 环境，并以增强的形式利用这些知识 生物反应器技术。 具体目标是：（1）调查 生物降解底物相互作用测试新的建模方法 预测混合污染物的生物降解率； (2) 评估影响 生物降解时对腐殖酸的吸附； (3)确定关系 微生物种群动态与污染物生物降解之间 混合物； 研究设计基于生物降解率的测量 单一污染物和污染物对，然后应用 集总建模方法可快速扩展混合物的大小 可以考虑。 当基本的混合物动力学分析完毕后， 对系统的扰动，以吸附和捕食的形式，将 被应用。 要利用的主要技术是动力学测量 在批量生物反应器培养中，但最新颖和最有潜力的 有效的方法是使用 SSCP-PCR 观察微生物种群 动力学。