Portable Disease and Pathogen Detection System
Value Proposition
Frequent monitoring of protein blood biomarker profiles is shown to help diagnose and improve treatment for cardiac arrest, sepsis, covid, liver and kidney diseases, along with other critical conditions. The Portable Disease and Pathogen Detection System could be invaluable for hospitals, clinics and military applications where lab and testing resources are severely limited, yielding repeatable results in under 30 minutes with minuscule whole blood samples.
Associated Products
Researchers would benefit from our Desktop Digital Biomarker Analysis System, which trades the convenience of the portable system for generalization and power.
Competitive Advantage
Our system delivers a battery-operated, highly portable, biomarker analysis microsystem capable of collecting small amounts of blood and processing on device. Data is collected and transferred wirelessly to a smartphone app where machine learning algorithms compare results with severity, treatments, and outcomes to predict the development of critical complications and enable timely intervention - all within 30 minutes.
Portable and deployable at the point of care for measurement of wide range of blood markers and pathogens
Short (< 30 min) sampling-to-answer time and sample sparing capability (compared to 24-48 hours with traditional methods)
Fewer false negatives than traditional test methods
Suitable to develop diagnostic signatures for inflammatory states such as sepsis, multisystem organ failure, trauma, TBI and others
Allows for high frequency sampling enabling rapid diagnosis and trajectory monitoring for guiding treatment
Unique Features
Detects 2-3 biomarkers in a single test
Multi-time-point detection
Specialized digital assay cartridges for blood biomarkers
Battery-operated
Wireless device integration
ML-guided mobile application
Principal Investigators
Katsuo Kurabayashi, PhD
Kevin Ward, MD
Licensing Manager
Michelle Larkin
Intellectual Property
Invention Disclosure #2019-118, 2020-314
Patent Application Submitted
Solution Sheet
Download Solution Sheet
The Portable Disease Detection System has broad diagnostic potential, from detecting monkey pox to monitoring brain injuries. One primary market need is sepsis monitoring. Bacterial infections leading to sepsis are a major cause of deaths in the intensive care unit. Over 1.7 million adults in the US develop Sepsis each year, and 270,000 die from it. Unfortunately, no effective methods are available to capture the early onset of infectious sepsis near the patient with both speed and sensitivity required for timely clinical treatment. Rapidly detecting specific biomarkers with the high sensitivity found in our device has the potential to prevent infections from developing life-threatening septic shock.
The Portable Disease Detection System For Inflammation is currently available for optioning. Please contact the Licensing Manager, Michelle Larkin, for more information.
Funding History
$360,000 in non-dilutive funding
2017 $360,000 National Science Foundation
Substantial departmental, school and center based support
Completed Milestones
Basic Research "The Idea"
Alpha Prototype/MVP
Initial Testing
Proof of Concept
Submitted R01 Application
Next Steps
Academic collaboration for pathogen detection
Beta Prototype and testing
Manufacturing Plan Development
Technology Verification and Validation
License the technology to an industry partner
Funding Organizations
Publications
Near Infrared Multilayer MoS2 Photoconductivity‐Enabled Ultrasensitive Homogeneous Plasmonic Colorimetric Biosensing, Advanced Materials Interfaces, 8(24), p. 2101291 (2021), Y Park, B Ryu, SJ Ki, X Liang, K Kurabayashi
Few-layer MoS2 photodetector arrays for ultrasensitive on-chip enzymatic colorimetric analysis. Acs Nano, 15(4), pp.7722-7734 (2021), Y. Park, B. Ryu, S.J. Ki, B. McCracken, A. Pennington, K.R., Ward, X. Liang, and K. Kurabayashi
Nano assembly of plasmonic probe-virus particles enabled rapid and ultrasensitive point-of-care SARS-CoV-2 detection. medRxiv, (2022), Y Park, B Ryu, S Ki, M Chen, X Liang, K Kurabayashi