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SBIR Phase I: A novel platform for virus enrichment and isolation

Award Information
Agency: National Science Foundation
Branch: N/A
Contract: 2222991
Agency Tracking Number: 2222991
Amount: $274,459.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: BM
Solicitation Number: NSF 22-551
Solicitation Year: 2022
Award Year: 2023
Award Start Date (Proposal Award Date): 2023-07-01
Award End Date (Contract End Date): 2024-03-31
Small Business Information
200 Innovation Boulevard
State College, PA 16803
United States
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Nestor Perea Lopez
 (814) 753-0502
Business Contact
 Nestor Perea Lopez
Phone: (814) 753-0502
Research Institution

The broader/commercial impact of this Small Business Innovation Research (SBIR) Phase I project will be the creation of a virus capture technology that may improve the reliability of diagnostic tools needed to detect viral infection in humans, animals, and plants. The proposed device will be designed to be easy to use, portable, and cost-effective, and could accelerate virus detection, providing superior analytical and clinical performance. Early and accurate diagnosis of infectious diseases is critical to curbing the spread of viral infections, improving health outcomes, and reducing economic losses. This technology is a platform potentially applicable to a wide range of target viruses and could be functional in different scenarios like virus surveillance, identification of emerging viruses, and detection of virus mutations. _x000D_
The proposed project seeks to validate the technical feasibility of this technology for direct virus detection methods such as polymerase chain reaction (PCR), immunoassay, and next generation sequencing (NGS), to improve the virus to host ratio and allow for faster results. The project aims to develop a portable sample processing platform that enables high-efficiency virus trapping and purification from field samples (from cotton swabs or tissue biopsy) without using antibodies. This technology uses carbon nanotube arrays to trap virus particles by size discrimination while segregating host contaminants. This technology could be integrated into standard virus diagnostic protocols to achieve a faster, simpler, and more accurate diagnostics compared to traditional processes for virus sample preparation, such as ultracentrifugation and membrane filtration. Currently available state-of-the-art technologies present limitations in extracting pure virus particles from the host material, especially when the viral content is low, usually leading to false negative results._x000D_
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.

* Information listed above is at the time of submission. *

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