Multiscale Modeling of Nano Effects on Major Human Organs in the Body

Award Information
Agency:
Department of Defense
Amount:
$749,970.00
Program:
SBIR
Contract:
FA8650-12-C-6301
Solitcitation Year:
2010
Solicitation Number:
2010.3
Branch:
Air Force
Award Year:
2012
Phase:
Phase II
Agency Tracking Number:
F103-031-1224
Solicitation Topic Code:
AF103-031
Small Business Information
CFD Research Corporation
215 Wynn Dr., 5th Floor, Huntsville, AL, -
Hubzone Owned:
N
Woman Owned:
Y
Socially and Economically Disadvantaged:
N
Duns:
185169620
Principal Investigator
 Andrzej Przekwas
 Senior VP Research and CT
 (256) 726-4815
 proposals-contracts@cfdrc.com
Business Contact
 Deb Phipps
Title: Contracts Manager
Phone: (256) 726-4884
Email: dap@cfdrc.com
Research Institution
 Stub
Abstract
ABSTRACT: Nanotechnology (NT) offers immense innovation potential across many disciplines in military and civilian applications. It will also bring potential hazards, by negligence, accident or adversary or terrorist action. In spite of exponential growth on NT R & D our understanding of nanoparticles (NPs)-induced health hazards is greatly inadequate. The objective of this effort is to develop, validate and demonstrate a multiscale computational model of nano effects on major human organs. The Phase I effort has successfully established proof-of-concept and demonstrated a fundamental biophysics, physiology and biology based software tool for modeling NP deposition in the respiratory track and NP s-induced toxic responses. The Phase II objectives are to expand, improve and refine the model components at multiple levels, to integrate the models into a simulation framework, to validate the model on in vitro/in vivo data, and to demonstrate predictive capability of the model to assess NP-induced toxicity and health effects. The tool will provide a quantitative and predictive platform to simulate and test different scenarios of nanoparticle exposure, absorption, distribution and excretion within the body, and physiological/biological responses and associated health effects. It will be used to develop effective prevention strategies and exposure control rules. The proposed tool will also have excellent commercialization potential in pharmaceutical, medical and biotechnology markets. BENEFIT: The predictive software tool will enable knowledge-based understanding of nanotoxicity, thereby leading to development of nanomaterial exposure rules, and design and deployment of effective practices and countermeasures to mitigate adverse effects. The proposed software tool has tremendous market potential that includes nanomaterials based manufacturers, environmental protection institutions and industry, pharmaceutical companies and inhalational device manufacturers.

* information listed above is at the time of submission.

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