Tool for optimizing chlorinated-solvent bioremediation through integration of chemical and molecular data with electron and alkalinity balances

Rosa Krajmalnik-Brown (Inventor), Bruce Rittmann (Inventor)

Research output: Patent


Organic contaminants, such as chlorinated solvents, are widespread contaminants worldwide, and in situ bioremediation is a common form of treatment. However, the performance of these schemes has been variable, primarily due to the difficulty in translating the data captured at these sites into an indicator of bioremediation efficacy. Better diagnostics and optimization strategies are needed to achieve greater cost-savings and bioremediation performance. Researchers at the Biodesign Institute of Arizona State University have developed a novel software tool for prediction and assessment of bioremediation performance based on a comprehensive understanding of the link between chemical flow and microbial community interactions. This simple tool allows users to input captured data and outputs performance variables and suggested methods for improvement. Bioremediation monitoring is necessary for process evaluation. Often, data captured in the filed cannot be translated into reliable performance metrics; this technology bridges that gap. This tool results in a user-friendly spreadsheet-based model that allow users to evaluate whether or not in-situ bioremediation is appropriate for a site, assess performance and success during field implementation, and suggest strategies to enhance performance when it is unsatisfactory. Potential Applications Bioremediation monitoring/optimization: Assessment of the choice and concentrations of electron donors to be supplied in biostimulation approaches Assessment of how a culture of choice for bioaugmentation will perform under site conditions and with the chosen electron donors Better understanding of progress and performance throughout implementation of a bioremediation process Benefits and Advantages Strategy optimization - understanding interactions of biological processes and site mineralogy can allow for better strategies to mitigate incomplete reductive dechlorination Better prediction of trends in the microbial driven processes and the microbial community structure Maximized evaluation of performance accuracy of a bioremediation process Cost-Savings - through bioremediation performance enhancement Leads to better insight into dechlorinating microbial communities and their metabolic processes Dowload Original PDF For more information about the inventor(s) and their research, please see Dr. Krajmalnik-Brown's directory webpage Dr. Rittmann's directory webpage
Original languageEnglish (US)
StatePublished - Apr 1 2012


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