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Improved M8 Test Paper for Chemical Agent Detection

Award Information
Agency: Department of Defense
Branch: Office for Chemical and Biological Defense
Contract: W911SR-12-C-0051
Agency Tracking Number: C2-0353
Amount: $1,049,868.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: CBD11-103
Solicitation Number: 2011.1
Timeline
Solicitation Year: 2011
Award Year: 2012
Award Start Date (Proposal Award Date): 2012-08-03
Award End Date (Contract End Date): 2014-08-03
Small Business Information
2520 W. 237th Street
Torrance, CA -
United States
DUNS: 033449757
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Manal Beshay
 Lead Chemist
 (424) 263-6360
 sbirproposals@intopsys.com
Business Contact
 Reuben Sandler
Title: Chief Executive Officer
Phone: (424) 263-6305
Email: randdoffice@intopsys.com
Research Institution
 Stub
Abstract

Detection of chemical warfare agents (CWAs) such as V, H, and G agents is currently performed using the easy-to-use, simple, and rapid M8 test papers to detect and differentiate among these agents. However, frequent replacement is usually required for these test papers in outdoor applications because of the degradation by exposure to sun, dust, and rain. Moreover, visual inspection is needed to assess each test paper, so a self-reporting system is critical to reducing the personnel needed for inspection. Intelligent Optical Systems (IOS) proposes to continue the development of a field-rugged, colorimetric sensor array that can detect multiple CWAs, in both aerosol and vapor phase, in adverse environments. The sensor array will detect threatening CWAs and generate a visual self-reporting readout. The Phase I results have demonstrated the feasibility of highly stable polymer claddings overcoming the instability of current M8 test paper. The material being developed will perform vapor phase detection, and will be self-reporting, eliminating the need for visual inspection. In Phase II, IOS will build on the successful Phase I results to finalize, optimize, and produce a manufacturing plan for the improved detection platform.

* Information listed above is at the time of submission. *

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