Title: Method Development for Detection of Human Sources of Fecal Contamination in Watersheds and at Beaches
PI: Dr. Jeffrey Ram, Department of Physiology, Wayne State University Detroit, MI
Collaborator: Dr. Amar Basu, Department of Electrical Engineering, Wayne State University Detroit, MI
New rapid methods are needed to detect and track the sources of human fecal contamination in watersheds and at beaches. Information is currently gathered by different regional stakeholders through their individual programs and initiatives using grab sampling with results received after > 1 week. More timely information at lower cost is desired for protecting the public from fecal contamination and developing remediation of the sources. This project will develop the use of advanced molecular microbial detection methods (specifically a molecular method known as digital droplet loop-mediated isothermal amplification (ddLAMP)) and determine its suitability for watershed-wide implementation and integration into this program. The specific goal is to develop and evaluate methods of microbial source detection that are implementable for routine monitoring of sewage contamination.
PI: Dr. Jeffrey Ram, Department of Physiology, Wayne State University Detroit, MI
Collaborator: Dr. Amar Basu, Department of Electrical Engineering, Wayne State University Detroit, MI
New rapid methods are needed to detect and track the sources of human fecal contamination in watersheds and at beaches. Information is currently gathered by different regional stakeholders through their individual programs and initiatives using grab sampling with results received after > 1 week. More timely information at lower cost is desired for protecting the public from fecal contamination and developing remediation of the sources. This project will develop the use of advanced molecular microbial detection methods (specifically a molecular method known as digital droplet loop-mediated isothermal amplification (ddLAMP)) and determine its suitability for watershed-wide implementation and integration into this program. The specific goal is to develop and evaluate methods of microbial source detection that are implementable for routine monitoring of sewage contamination.