SBIR-STTR Award

Rapid Microbial Identification and Characterization in the Field
Award last edited on: 9/18/2022

Sponsored Program
SBIR
Awarding Agency
DOD : CBD
Total Award Amount
$858,965
Award Phase
2
Solicitation Topic Code
H-SB019.1-001
Principal Investigator
Ellen Mcrae Greytak

Company Information

Parabon NanoLabs Inc (AKA: PNL)

11260 Roger Bacon Drive Suite 406
Reston, VA 20190
   (703) 689-9689
   nanolabs@parabon.com
   www.parabon-nanolabs.com
Location: Single
Congr. District: 11
County: Fairfax

Phase I

Contract Number: 70RSAT19C00000028
Start Date: 6/3/2019    Completed: 12/2/2019
Phase I year
2019
Phase I Amount
$149,983
In this Phase I SBIR project, Parabon NanoLabs will develop a practical and affordable plan to establish a comprehensive reach-back support system for Rapid DNA analysis.The proposed solution, code-named Rapid-ID, will enhance DHS identity testing and kinship verification capabilities by enabling DNA analysts to review Rapid DNA profiles with OBIM Store/Match/Share software and re-run DNA analyses when necessary.Detailed requirements will be gathered, including the concept of operations, user interface features needed for review and annotation of Rapid DNA profiles, minimum acceptable performance criteria and requisite DNA data sharing standards.A system architecture will be designed to satisfy these requirements.Technology options and risks will be identified for consideration.The plan will cover both the establishment of a permanent and accredited reach-back facility and eventual transition of the capability into DHS LSSD facilities, and will include cost, resource and staffing analysis.Beyond satisfying the stated objectives of the solicitation, we will also investigate innovative ways to support faster and more extensive DNA analysis in both the field and reach-back facilities.This will include analysis of the causes of sample failure and recommended analytical methods to minimize such.We will also explore use of supplemental DNA processing and analysis methods that could greatly expand kinship inference capabilities and possibly lead to complete automation of Rapid DNA analysis.Commercialization of the resulting solution will not only assist DHS with its mission, but will provide powerful new DNA identification and kinship verification capabilities to law enforcement and intelligence communities.

Phase II

Contract Number: W911SR-22-C-0002
Start Date: 1/20/2022    Completed: 1/23/2024
Phase II year
2022
Phase II Amount
$708,982
Antimicrobial resistance (AMR) in pathogens is a critical issue in the United States, with >2.8 million antibiotic-resistant infections occurring each year and >35,000 people dying as a result. Wounded warfighters in the field are particularly vulnerable to the dangers of resistant pathogens. Supporting wound healing by gaining an understanding of resistance mechanisms of microbial pathogens would provide a significant new capability for expeditionary medicine in austere environments and is a crucial gap identified by the Surgeon General of the Air Force. Improving diagnosis and characterization of resistant bacteria has also been identified as a national strategic goal. Currently, determining whether a pathogen is resistant to antibiotics requires days or weeks of culturing and susceptibility testing. Even rapid clinical microbiology tests take 36-48 hours to run. However, AMR is conferred by changes in the microbial genome, and the initial phase of this project demonstrated that highly accurate prediction of AMR phenotypes is possible using only genome sequencing data. Unlike standard sequence analysis pipelines that require significant bioinformatics expertise, these capabilities are made available via a graphical user interface as plugins to Parabon’s existing Fx™ DNA Analysis Platform. Fx’s deployment is highly flexible and can run remotely, on a local server, or even on a single machine, making it adaptable for forward-deployment use cases. Originally designed for forensic analysis of human DNA, Fx provides a user-friendly interface for any type of complex sequence analyses. The next phase of this project will enhance these software tools to produce a deployable solution for detecting and characterizing pathogens in the field.