Infectious diseases continue to pose a major threat to worldwide human health and lead to significant morbidity, mortality and healthcare costs. Viral respiratory tract infection (VRTI) is the most common illness in humans, and non-influenza-related VTRI costs amount to over $40 billion annually in the United States alone. Respiratory syncytial virus (RSV) is among the leading causes of pediatric death secondary to pneumonia worldwide. Rapid diagnosis is critical for early and accurate treatment, as well as initiation and reduction of transmission, eventually leading to reduced hospital stays, antibiotic over-prescription, and taxing limited laboratory resources. Current diagnostic methods rely on time-consuming laboratory-based tests including virus culture and polymerase chain reaction (PCR), and rapid diagnostic tests are not sufficiently sensitive as standalone diagnosis. This paradox raises the need for rapid and ultrasensitive diagnostic tests. The plasmonic coupling assay is a rapid colorimetric diagnostic test that changes color from red to purple when plasmonic gold nanoparticles (AuNPs) get in close proximity of each other following antibody binding or DNA hybridization. Despite its easy operation, the sensitivity of the colorimetric plasmonic coupling assay is limited. In this proposed work, we aim to dramatically improve the analytical sensitivity of the plasmonic coupling assay using an innovative digital nanobubble detection method. Specifically, we propose to directly detect RSV particles with antibody-conjugated AuNPs that recognize the RSV surface fusion protein. AuNPs bind to multiple RSV surface fusion proteins and lead to plasmonic coupling. Ultrashort laser pulse selectively activates coupled AuNPs due to their enhanced absorption compared with a single AuNP. This greater optical absorption leads to nanoscale cavitation bubbles, i.e. nanobubbles, which can be measured easily from their intense scattering. Single nanobubble generation leads to a sensitive digital detection with ?on? and ?off? signals. Our preliminary results suggests at least 3 orders of magnitude improvement in analytical sensitivity with a similar bioassay for nucleic acid detection.
Our specific aims are: (1) to optimize the AuNP size and concentration for RSV detection using the digital nanobubble detection and establish the specificity and storage stability of the assay; and (2) to build and test a prototype device for automated digital nanobubble detection using micro lasers, compact optical components, and a capillary-driven flow device. The direct detection of virus particles eliminates the need for extensive sample preparation such as nucleic acid extraction. This is a high-reward project with a bold idea and corresponding robust preliminary data to address a major healthcare need for rapid and ultrasensitive diagnostic platforms for RSV and possibly other VTRI. The ultimate goal of our project is to develop rapid and ultrasensitive diagnostic tests with potential to replace current viral culture and PCR based laboratory tests.

Public Health Relevance

The ability to rapidly diagnose the source of infection and initiate accurate therapy is important in infectious disease control, and there is an urgent need for diagnostic tests that are both rapid and ultrasensitive. We propose a novel, ultrafast digital nanobubble detection method which significantly improves the analytical sensitivity of a gold nanoparticle based diagnostic assay. We will build a prototype device and demonstrate proof-of-concept with respiratory syncytial virus (RSV), a major respiratory pathogen of infants and children worldwide.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Exploratory/Developmental Grants (R21)
Project #
1R21AI140462-01A1
Application #
9529810
Study Section
Instrumentation and Systems Development Study Section (ISD)
Program Officer
Kim, Sonnie
Project Start
2018-05-18
Project End
2020-04-30
Budget Start
2018-05-18
Budget End
2019-04-30
Support Year
1
Fiscal Year
2018
Total Cost
Indirect Cost
Name
University of Texas-Dallas
Department
Engineering (All Types)
Type
Biomed Engr/Col Engr/Engr Sta
DUNS #
800188161
City
Richardson
State
TX
Country
United States
Zip Code
75080