Advancements in micro- and Nanotechnology have led to a myriad of direct detection schemes and sensitive transducers for biological assays. Indeed, nano-scale transducers with capabilities to detect single cells have already been demonstrated. However, the overall sensitivity of a bio-assay is currently limited by diffusion- based mass transport towards the sensor surface (dictated by the fluidic component), and is typically orders of magnitude worse than the transducer capabilities. This bottleneck will always exist in architectures where the volume concentration of a target molecule or cell is detected along a wall of a fluid-filled compartment - as is customary with micro-fluidics or micro-well plat based assays. As such, none of the state-of-the-art, solution- based direct bio-sensing schemes - such as enzyme-linked immunosorbent assays (ELISA) - can detect less than 103-104 cells/ml. Achieving higher sensitivities require either long incubation periods (hours to days) or lengthy sample amplification. As a result, there is currently no commercial product for rare cell and pathogen detection that can simultaneously achieve a high overall detection sensitivity (i.e., ~10 colony forming units per ml) and a rapid assay completion time (i.e., <10 mins). This shortcoming directly translates into inefficiencies in patient treatment - such as the widespread use of broad-spectrum antibiotics with sepsis and urinary tract infections - that contributes to increased costs, longer hospitalization times and the emergence of drug resistant bacterial and fungal strains. In particular, the need for sensitive and rapid pathogen identification is criticalin the context of sepsis, since each hour lost in targeted treatment results in a 9% increase in patient mortality. Current pathogen identification methods, such as blood cultures or PCR tests, take too long to affect the critical initial decision for treatment selection. Sepsis is the second largest cause of death in non-coronary intensive care units (750,000+ cases, 215,000+ deaths annually in US alone), costing over 17B/year to treat. Here, we propose to overcome the diffusion bottleneck that plagues all existing fluid-based direct bioassays by developing a novel platform that relies on biocompatible magnetic nanofluids for rapid, active and selective transport of target moieties to a given sensor's surface in a label- and labor-free fashion. Our approach can isolate, separate, transport, focus, direct and detect very rare cells or pathogens in an otherwise complex biological fluid sample. Our goal in this Phase I project is to build and demonstrate quantitative, ultra-rapid (<10 min) detection of several pathogens of interest in spiked buffer, broth and blood samples, with sensitivity levels (~10 pathogens/ml) that cannot be obtained by any existing direct detection method. Furthermore, we propose to study and establish the operational parameters of our prototype system and compare its performance with existing ELISA, PCR and blood culture tests. If successful, our system will achieve unprecedented sensitivity and speed, and could have a real impact in point-of-care diagnostics of infectious agents. Our approach could easily translate into better antibiotic stewardship and lower mortality rates in sepsis and other severe infections.

Public Health Relevance

Bacterial and fungal infections are the root cause of severe sepsis, causing over 215,000 deaths and costing $17 billion dollars to treat each year. In this Phase I project, we propose to develop, build and characterize a desktop platform for labor-free and label-free detection of bacterial and fungal pathogens spiked in whole blood with a speed (<10 min) and sensitivity (<10 pathogens/ml) unprecedented in any existing commercial system. The creation of this point-of-care diagnostics platform would not only save precious time in accurately choosing targeted treatment options of life-threatening infections (such as in sepsis), but also lead to a reduction in the emergence rate of drug-resistant pathogens.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Small Business Innovation Research Grants (SBIR) - Phase I (R43)
Project #
1R43AI102547-01A1
Application #
8523108
Study Section
Special Emphasis Panel (ZRG1-IDM-V (12))
Program Officer
Hall, Robert H
Project Start
2013-02-01
Project End
2013-10-31
Budget Start
2013-02-01
Budget End
2013-10-31
Support Year
1
Fiscal Year
2013
Total Cost
$149,949
Indirect Cost
Name
Ancera, LLC
Department
Type
DUNS #
968714837
City
New Haven
State
CT
Country
United States
Zip Code
06510