Improved scalability, sensitivity, and interpretability of pathogen detection, including SARS-CoV-2, in wastewater using high-throughput, highly multiplexed digital array PCR technology
- Funded by National Institutes of Health (NIH)
- Total publications:0 publications
Grant number: 4U01DA053899-02
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Key facts
Disease
Disease XStart & end year
20212024Known Financial Commitments (USD)
$673,305Funder
National Institutes of Health (NIH)Principal Investigator
PROFESSOR Rachel NobleResearch Location
United States of AmericaLead Research Institution
UNIV OF NORTH CAROLINA CHAPEL HILLResearch Priority Alignment
N/A
Research Category
Pathogen: natural history, transmission and diagnostics
Research Subcategory
Diagnostics
Special Interest Tags
N/A
Study Type
Unspecified
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Not Applicable
Vulnerable Population
Not applicable
Occupations of Interest
Not applicable
Abstract
PROJECT ABSTRACT Presently, the application of molecular technology such as RT-qPCR and digital PCR (dPCR) to quantify SARS-CoV-2 and related targets in wastewater is cumbersome, time consuming, and costly. While progress has been made on the development of methods and the interpretation of data, much remains to be improved for the technology to be used as a public health management tool. A major drawback in the current approaches are 1) the lack of streamlined and consistent pre-analytical processing steps, 2) coverage across the relevant targets requires a high number of reactions (>20) from any single sample to provide quantitative information, and 3) a lack of vision on the development of a pathogen/marker panel, much like those used in clinical arenas, for interpretation of the data across different states, regions and nations. The goal of this project will be to successfully navigate these three limitations toward development of a public health warning system that is not dependent on clinical testing and has the ability to rapidly address novel pathogen threats in the future.