The urgent need for rapid, inexpensive, and convenient methods to detect viruses has been clearly evidenced by the onset of Covid-19, which caused the death of over 2 million prople worldwide from mid November 2019 to mid January 2021, and continues to take its toll on human life. The 2020 Nobel Prize winning CRISPR/Cas technology, which can be used to rapidly detect DNA sequences in any living organism, offers a promising approach. This approach has been pursued by many companies, but none to date has been able to match the sensitivity of the “gold standard” test (real-time polymerase chain reaction (RT-PCR)), which requires 4-6 hours for completion and costs ~$100 per test. Thus the goal of this project is to develop a method for SARS-CoV-2 (the virus responsible for the COVID-19) detection that is faster, cheaper, more sensitive, and more convenient than the methods presently used for SARS-CoV-2 detection. The project’s goals will be achieved by integrating CRISPR/Cas assays with cutting-edge technologies. Limitations of existing systems will be addressed using a number of advanced analysis tools, advanced devices, artifical inteligence, and novel nanomaterial probes to design an integrated nanopore-microfluidic device for use in point-of-care (POC) settings that is ASSURED (affordable, sensitive, specific, user-friendly, rapid and robust, equipment-free, and deliverable to end users). Succesful development of this sensor platform will offer a wide range of other uses, as the principles behind it may be applied to other applications that are not related to SARS-CoV-2. The project creates excellent opportunities for interdisciplinary research, as it combines biochemistry, nanoengineering, photonics, and medicine. Outreach programs related to this exciting project will be offered to K-12 schools, attracting young minds and inspiring them to pursue science, technology, engineering and mathematics (STEM) degrees.

The goal of this project is to develop a highly sensitive and reliable nucleic acid sensing tool based on CRISPR/Cas assays for SARS-CoV-2 detection. The research will reveal the cleavage activities of Cas enzymes on a variety of composite nanomaterial reporter designs. Solid-state nanopores will be optimized for reading the cleavage patterns of nanomaterial reporters in the Cas assays using a deep neural network to classify the cleavage signatures. Solid-state nanopore readout provides single-molecule quantification and also identifies molecular signatures within the translocating molecules, which has significant advantages over the standard readout methods of today (fluorescence, paper-strip, colorimetric, and electrochemical readout). Once the cleavage activities are understood, a variety of reporters whose cleavage patterns correspond to specific target sequences will be designed. Identification of the cleavage products will enable the development of an integrated nanopore-microfluidic device for use in POC settings that will demonstrate simultaneous nanopore and fluorescence readings of cleavage products in multiplexed CRISPR/Cas assays.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

Project Start
Project End
Budget Start
2021-03-01
Budget End
2024-02-29
Support Year
Fiscal Year
2020
Total Cost
$299,574
Indirect Cost
Name
University of Texas Austin
Department
Type
DUNS #
City
Austin
State
TX
Country
United States
Zip Code
78759