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Sensitive and Shape-Specific Molecular Identification

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911NF-14-C-0009
Agency Tracking Number: A2-5517
Amount: $749,427.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: A11a-T017
Solicitation Number: 2011.1
Timeline
Solicitation Year: 2011
Award Year: 2014
Award Start Date (Proposal Award Date): 2013-11-29
Award End Date (Contract End Date): 2014-11-29
Small Business Information
3 Davol Square Suite A340
Providence, RI 02903
United States
DUNS: 000000000
HUBZone Owned: Yes
Woman Owned: No
Socially and Economically Disadvantaged: Yes
Principal Investigator
 Joseph Geiser
 Senior Research Scientist
 (401) 714-8275
 joseph.geiser@ryontech.com
Business Contact
 Edel Minogue
Title: CEO
Phone: (401) 523-5277
Email: edel@ryontech.com
Research Institution
 Brown University
 Prof. Peter Weber
 
Chemistry Department 324 Brook Street
Providence, RI 02912
United States

 (401) 863-3767
 Nonprofit College or University
Abstract

The ability to rapidly detect, identify and monitor chemical agents remains a challenge of significant importance to the Armed Forces. Existing chemical sensing techniques have shortcomings that inhibit widespread implementation. To address this situation, Ryon Technologies is developing a portable instrument that is based on Rydberg Fingerprint Spectroscopy (RFS) in combination with mass spectrometry (MS). The dual detection of the RFS signal and the MS signal provides a two-dimensional readout where each molecule is positively identified through its mass and its structural fingerprint. This unique approach ensures that all molecules can be unambiguously identified, allowing the monitoring for chemical agents without false alarms. Because of the inherent sensitivity of detecting charged particles, very minute amounts of material will be possible to analyze. The development focuses on reducing all dimensions of the apparatus, including the vacuum envelope and the sample inlet. Through computational modeling the design is optimized for maximum sensitivity with the minimum number of parts.

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

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