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31 Phase I Selections from the 09.1 Solicitation

(In Topic Number Order)
InnoSense LLC
2531 West 237th Street Suite 127
Torrance, CA 90505
Phone:
PI:
Topic#:
(310) 530-2011
Uma Sampathkumaran
CBD 09-101      Awarded: 4/7/2009
Title:Durable Anti-fog Coatings for Contoured Plastic Substrates Using Nanoparticles with Tunable Size and Surface Chemistry
Abstract:Currently fielded respiratory protective systems in the Joint Services General Purpose Mask (JSGPM) program degrade in visual performance capability in extreme hot and cold environments. Optical and mechanical properties of existing anti-fog coatings also diminish when subjected to cleaning/sanitization operations. To address these needs, InnoSense LLC will develop durable anti-fog coatings that enhance the performance and comfort of the warfighters in the field. For feasibility demonstration in Phase I, InnoSense LLC will design a combination of nanomaterials of different sizes, tunable surface chemistry, nanoporosity, and surface roughness into optical coatings. Two types of multifunctional antifogging properties, superhydrophilic and superhydrophobic, will be demonstrated on DOD-relevant surfaces. Coating formulations and fabrications processes will be evaluated on flexible polyurethane and hard-coated polycarbonate optical substrates with planar and non-planar geometries. Performance of the anti-fog coatings will be evaluated to establish versatility in tuning surface properties, cost- effective processing, enhanced durability, resistance to cleaning solvents, immunity to hot-humid or cold-humid conditions and UV stability. The prime contractor to the JSGPM program will evaluate the materials in Phase I and Phase II to accelerate efforts for system integration and procurement.

Luna Innovations Incorporated
1 Riverside Circle Suite 400
Roanoke, VA 24016
Phone:
PI:
Topic#:
(540) 552-5128
Bryan Koene
CBD 09-101      Awarded: 4/7/2009
Title:Durable Anti-fog Coatings for Respiratory Protection Systems
Abstract:Maintaining a high level of visibility in ballistic visors and respiratory protection systems is very difficult under inclement operational conditions. In particular, the transparent lenses will fog up with high humidity in the environment or breathing. There have been significant efforts in the development of hydrophilic coatings that will ‘wet out’ in high humidity to prevent fogging on transparent substrates. Microscopic water droplets adhere well to the surface of a hydrophilic surface contrasting the beading up on a hydrophobic surface. Recent research in the area of superhydrophilic coatings (contact angles approaching zero degrees) has shown great advancements in this area. This wetting out allows the substrate to maintain a high level of transparency. Whereas many technologies and coatings have demonstrated the primary goal of achieving superhydrophilic surfaces, they have lacked durability, or have been difficult or expensive to apply. Luna Innovations proposes to further the development of anti-fog coatings based on our established abrasion resistant coating technology. Luna’s HARSH (Hard Abrasion Resistant Superhydrophilic /Hydrophobic) coatings are very durable, and easily scalable for the production of inexpensive transparent coatings. The development of this coating system will be directly applicable to military goggles, lenses, face shields and other transparent coating applications.

TRITON SYSTEMS, INC.
200 TURNPIKE ROAD
CHELMSFORD, MA 01824
Phone:
PI:
Topic#:
(978) 250-4200
Apoorva Shah
CBD 09-101      Awarded: 4/7/2009
Title:Anti-Fog Coating for Lenses(1001-348)
Abstract:Triton Systems Inc proposes to utilize its surface engineering technology to deposit ultra thin coatings onto lenses of respiratory protection systems that will promote spreading of water droplets thereby preventing fogging. This novel antifog coating will also be durable and dirt and oils resistant, and hence will not loose its antifog characteristics over time. The Phase I program will demonstrate the feasibility of fabricating our novel antifog coatings and provide preliminary data on durability, antifouling and cleanability. This technology will be key in the fabrication of cleanable anti-fog coatings for several military/DoD related applications including respiratory systems (like M50/M51 JSGPM, M52 JSCESM, M53 Chem/Bio Protective Mask and Joint Service Air Crew Mask), visors, combat vehicle windshields as well as applications in the commercial market for goggles and ski masks.

nanoGriptech, LLC
5520 Raleigh Street
Pittsburgh, PA 15217
Phone:
PI:
Topic#:
(412) 849-5405
Michael Murphy
CBD 09-102      Awarded: 5/1/2009
Title:Bio-Inspired Dry Fibrillar Adhesives for Enhanced Sealing of Respiratory Protective Masks
Abstract:NanoGriptech LLC proposes to develop repeatable skin adhesives using technology inspired by the feet of geckos and insects. These adhesives will be integrated into full facemask respirators to reduce or replace head harness straps, which are currently used to hold the facemasks in place. Expected benefits are improved fit, resistance to shifting, improved sealing, and reduced discomfort and tissue damage during prolonged use. A model of the interface between skin and the micro-fibrillar adhesive will be developed to aid in the design and optimization of adhesive design. The proposed effort aims to combine and optimize various fibrillar adhesive technologies into a single system, which exhibits many or all of the unique characteristics of the separate base technologies. Potential technologies that may be incorporated into the final design include tip shapes, directional properties, bio-inspired tip coatings, and hierarchical multi-level geometry. In Phase I of this program we plan to determine required performance metrics for the tissue adhesives, develop a theoretical model of the interactions between the skin surface and adhesive, confirm model validity with characterization experiments, and identify key parameters for designing the adhesives.

Technova Corporation
3927 Dobie Road
Okemos, MI 48864
Phone:
PI:
Topic#:
(517) 485-9583
Anagi Balachandra
CBD 09-102      Awarded: 4/2/2009
Title:Bio-Inspired Dry Adhesives
Abstract:The proposed project will develop bio-inspired adhesives for reliable and convenient sealing of full-facepiece respiratory masks against skin. Conventional pressure-sensitive adhesives rely on a liquid-like fluidity to establish molecular-scale contact against rough surfaces. While this contact mechanism limits their versatility and stability, they exhibit desirable long-range deformations which benefit adhesion capacity. Nature, on the other hand, relies on the conformability of fibrillar structures as a more versatile means of establishing massive molecular-scale contacts against rough surfaces. This mechanism relies on van der Waals interactions as well as the capillary effect for adhesion to dry and wet surfaces, and offers the potential to accommodate micro-scale obstacles (e.g., dust particles and hair). Extensive efforts devoted to the development of biomimetic adhesives, however, have not yet produced commercially viable end products. While synthetic fibrillar structures (based on carbon nanotube or polymer fibril arrays) can desirably adapt to the global surface roughness, the fibril tips lack the ability to adapt to the local surface roughness. Recent work has confirmed that modification of fibril tips for enhancing their conformability benefits the adhesion capacity; such refined fibrillar arrays, however, still lack the adhesion qualities and the scalability needed for commercial success. We propose to optimize the design of polymer fibrillar arrays and refine the fibril tips using conformable polymers which are highly crosslinked varieties of today’s pressure-sensitive adhesives. This design relies on the conformability of the fibrillar structure and the pressure-sensitive features of fibril tips to adapt to global and local roughness, respectively. The complementary action of these two adhesion mechanisms promises to overcome the drawbacks experienced by each of them when used individually. Biocompatible polymer fibrillar arrays provide a versatile and economical basis for development of the new bio-inspired adhesives; modification of the fibril tips can be accomplished using a simple “inking & printing” method. The proposed Phase I project will: (i) define the performance requirements of adhesives for sealing full-facepiece respiratory masks; (ii) design bio-inspired adhesives which meet the targeted performance requirements in application to dry and wet skin in the presence of hair; (iii) fabricate bio-inspired adhesives, and evaluate their performance against dry and wet synthetic substitutes for skin; and (iv) develop refined models of bio-inspired adhesives, and assess their potential to meet the requirements for sealing full-facepiece respiratory masks against skin. Efforts in Phase I Option will be devoted to fabricating second- generation bio-inspired adhesives, verifying their improved performance, and identifying aspect of design which require further refinement.

TRITON SYSTEMS, INC.
200 TURNPIKE ROAD
CHELMSFORD, MA 01824
Phone:
PI:
Topic#:
(978) 250-4200
Fengying Shi
CBD 09-102      Awarded: 4/7/2009
Title:Bio-Inspired Dry Adhesive(1001-349)
Abstract:Triton Systems Inc. proposes to develop a bio-mimetic dry adhesive with micro/nano scale structures similar to gecko’s feet. This new dry adhesive is designed to have the features of good shear strength to hold more than 1 kg respirator mask on face, great peripheral sealing property to maintain good contact with facial skin surface in the presence of various contaminants, hygienic, durable, easy to clean and no pain upon peeling due to its special designed structure above the microfibrillar surface. The chemical composition of the proposed dry adhesive will also make it compatible to human skin, no skin irritation in service, and having great thermal stability and chemical resistance. The new adhesive will be tested on simulated skin and the testing results will be compared with the model prediction.

Imaginative Technologies, LLC
1158 Norumbega Drive
Monrovia, CA 91016
Phone:
PI:
Topic#:
(626) 341-6041
James R. Weiss
CBD 09-103      Awarded: 4/10/2009
Title:A Quarter Sized Optical NEMS Based Methyl Salicylate Detector
Abstract:The objective of Imaginative Technologies, LLC teamed with Yale University is to design and build a “breadboard”, real time, optical NEMS Based Methyl Salicylate Detector (MSD), capable of measuring the presence and concentration of a chemical agent simulant (methyl salicylate – MeS) beneath a protective garment. This proposed device, MSD, will be the size of a quarter so it may be comfortably placed in a number of body regions and be able to detect and accurately identify methyl salicylate – MeS levels through the protective garment within ten seconds. The proposed detector, MSD, will have the following additional characteristics: 1) will provide a 500 nanograms (ng) to 100 milligrams (mg) per cubic meter range of response, 2) will function accurately in a rapidly fluctuating (concentration and air flow) environment and operate from 0 to 40 degrees Celsius in a high humidity (>90% Relative Humidity) environment 3) will not be adversely impacted as a result of exposure to environmental factors including human sweat, and human body odors. 4) will integrate with required central data telemetry and/or have a data logging system and sufficient on-board power for a mission duration of 4 to 8 hours. This novel micro detector will be based on a Nano Electro-Mechanical Systems (NEMS) implementation consisting of a chip-based nano-cantilever system. The ability to achieve the required sensitivities and accuracies for the exposure concentrations is a critical milestone in this development effort. The resultant sensors will be capable of operating while worn by human test subjects wearing protective garments and performing physical activity. Owing to its miniature size, MSD can be easily placed in a number of critical body regions were the a protective garment is likely to leak and track leak flow patterns in order to monitor sensitive regions. The MSD will not inhibit free movement of the test subject, and not attenuate, enhance or redirect normal circulation of air beneath the garment In this investigation, a NEMS based optical cantilever (resonator) with a tailored surface chemistry will be utilized as the MeS sensor. The detection principle is based upon the high mass sensitivity of nanomechanical devices. The readout of the cantilever is performed by integrated photonic circuitry that operates by transmitting light that is guided on a chip through patterned ridge waveguides.

Intelligent Automation, Inc.
15400 Calhoun Drive Suite 400
Rockville, MD 20855
Phone:
PI:
Topic#:
(301) 294-4756
Sendil Rangaswamy
CBD 09-103      Awarded: 4/7/2009
Title:Accurate Real-time Methyl Salicylate Sensing System (ARMSSS)
Abstract:Intelligent Automation Inc., (IAI) presents a novel reliable, miniature, unobtrusive light weight Accurate Real-time Methyl Salicylate Sensing System (ARMSSS) for testing effectiveness of chemical suits. The ARMSSS collects real-time data and accurately identifies chemical break-through sites in Man-in-Stimulant Testing, where Methyl Salicylate (MeS) is used as the simulant for chemical agents. The approach utilizes Quartz Crystal Microbalance, Chemical capacitance and Radio Frequency Identification Technology. The key innovation of our proposed approach lies in the design that exploits the advantages of both the sensing techniques for high sensitivity and selectivity for real time detection of MeS. The ARMSSS sensor system can: 1) rapidly and simultaneously detect MeS by two techniques and can compensate for temperature and humidity changes; 2) is highly sensitive, inexpensive, miniature, and robust so that it can be deployed easily and (3) communicates in real time the point of leakage. It operates in high relative humidity (>90% Relative Humidity) and elevated temperature environment (0 to 40 degree Celsius), with dynamic range of 100 ng per cubic meter to 100 mg per cubic meter. It is not affected by attenuation, saturation or normal circulation of air beneath the garment.

Lexitek Inc.
14 Mica Lane #6
Wellesley, MA 02481
Phone:
PI:
Topic#:
(781) 431-9604
Steven Ebstein
CBD 09-104      Awarded: 4/2/2009
Title:Spectroscopic high throughput identification of protein variants
Abstract:Quantitative Raman spectroscopy offers a means of estimating concentrations of protein variants. The Raman spectrum can be a fingerprint of an individual molecule and features unique to functional groups. In conjunction with robust data analysis such as principal component analysis (PCA), chemometric assessment of a sample can be performed. As an optical technique, this approach can yield high-throughput with robust instrumentation that can be deployed in the field. Some facets of instrument miniaturization have already been accomplished. In order to deal with realistic sample sizes, surface enhanced Raman spectroscopy (SERS) can be employed. Using this approach, we propose to develop instrumentation for reproducible, high-throughput protein variant quantitation. Our approach relies on a proprietary substrate Lexitek is developing for SERS that can be inexpensively fabricated and is uniform and reproducible. The substrate has high enhancement and the unique capability for doing separation and detection in situ. As any amount of admixture separation increases the SNR of the chemometric process, our approach has a dimension not shared by other SERS assays that will enable development of a range of assays for protein variants.

Physical Optics Corporation
Photonic Systems Division 20600 Gramercy Place, Bldg. 100
Torrance, CA 90501
Phone:
PI:
Topic#:
(310) 320-3088
Gregory Zeltser
CBD 09-104      Awarded: 4/3/2009
Title:Dielectrophoretic Microfluidic Protein Analysis System
Abstract:To address the U.S. Army CBD need for a low-cost, universal, robust, and fieldable device for rapid, reproducible identification of protein variants from biological samples with high throughput, Physical Optics Corporation (POC) proposes to develop a new Dielectrophoretic Microfluidic Protein Analysis (DiMiPA) system. The system is based on an electrodeless dielectrophoresis-based, continuous-flow protein separation technique followed by protein identification via detection of the separated protein bands by UV absorption spectrometry. The DiMiPA system will be composed of a microfluidic chip, AC power supply, miniature pump, and readout unit. The DiMiPA tool will rapidly (10 min) and with high resolution and reproducibility separate protein variants from a mixture, preparing them for identification by the readout unit. The DiMiPA system will be an inexpensive, portable, and easy-to-use automated instrument. In Phase I, POC will demonstrate the feasibility of the DiMiPA device by fabricating a prototype and demonstrating its capability to identify relative concentrations of allozymes of sulfotransferase (SULT1A1), SULT1A1*1 and SULT1A1*3, which differ from each other by a single amino acid, in a mixed sample. In Phase II, DiMiPA will be optimized to enhance system throughput and separation resolution and identify additional sets of allozymes besides those of SULT1A1.

Agiltron Corporation
15 Cabot Road
Woburn, MA 01801
Phone:
PI:
Topic#:
(781) 935-1200
Shankar Radhakrishnan
CBD 09-105      Awarded: 4/22/2009
Title:Integrated Self-powered MEMS-Insect Swarms for biochemical detection
Abstract:In this program, Agiltron proposes the development of self-powered bio-mechanical swarms for detection and communication of biochemical agents for both civil and defense applications. We propose to integrate a micro electro-mechanical suite of sensors, actuators, power harvesters and electronics by surgical insertion during early metamorphosis of insects to allow rugged and reliable biomechanical interfaces, vital to high survival rates of resulting platforms. The novelty in the proposed approach is the use of low-power high sensitivity micromechanical chemical sensors with buried differential piezoresistive readout for integrated readout, high efficiency electromagnetic vibration scavengers for optical power scavenging, and biomimetic, high-efficiency electromagnetic actuators for direct muscle actuation to modulate output characteristics of insects. Use of electromagnetic actuation principles allow for extremely flexible design for optimal design of the actuator and power scavenger, enabling optimal bioMEMS platforms.

CFD Research Corporation
215 Wynn Dr., 5th Floor
Huntsville, AL 35805
Phone:
PI:
Topic#:
(256) 327-0664
Sameer Singhal
CBD 09-105      Awarded: 4/24/2009
Title:Novel MicroPower Source for Insect Based Sensor and Communication Platforms
Abstract:Our objective is to develop a novel micropower source, microsensor, and communication chip for integration with an insect, thereby delivering a state-of-the-art unmanned chemical detection device. The proposed biological fuel cell (Bio-FC) will leverage ongoing research at CFDRC and provide a compact/lightweight power supply, for mounting on numerous types of insects and producing necessary power without further custom development. This solution offers several advantages over the existing electromechanical methods; 50-100X higher power density, power-generation independent of insect species, and power generation in absence of insect motion. In Phase I, we will achieve an order-of-magnitude (OOM) improvement in power density (up to 100 µW/cm2) compared to electromechanical methods. Additionally, research will be performed to identify commercially available chemical sensors. Finally, the optimal insect species will be chosen, as related to potential energy generation and native signaling calls, in consultation with Dr. Richard Mankin at the USDA. Research will be performed into methods for artificially re-producing the signaling call. In Phase II, the Bio-FC prototype will be combined with a microsensor and the complete platform integrated with an insect to provide proof-of-concept demonstration. A multi-disciplinary team with proven expertise in biomicrosystems, bioelectrochemistry, and insect physiology has been assembled to accomplish these goals.

Oceanit Laboratories, Inc.
Oceanit Center 828 Fort Street Mall, Suite 60
Honolulu, HI 96813
Phone:
PI:
Topic#:
(808) 531-3017
Luke Joseph
CBD 09-105      Awarded: 4/24/2009
Title:Entomological Autonomous Distributed Sensor Platform
Abstract:The Entomological Autonomous Distributed Sensor Platform developed by Oceanit will address the need for an autonomous distributed sensor network to detect an ever growing need to detect and localize distributed threats. The project will use calling insects, such as cicadas and crickets as a distributed sensor network that communicates sensor information using the insects natural calls. The project will rely on leveraging Oceanit’s expertise in interdisciplinary system development using nanotechnology, MEMS, and neuroscience techniques.

OpCoast LLC
1101 Richmond Ave Suite 103
Point Pleasant , NJ 08742
Phone:
PI:
Topic#:
(917) 750-8614
Benjamin Epstein
CBD 09-105      Awarded: 4/24/2009
Title:Bio-MEMs Agile Sensor Platforms and Communication Networks
Abstract:This effort proposes the development of "OrthopterNets" -- a novel approach applying mobile ad hoc network (MANET) communications networks for the transfer of intelligent information via insect calls (e.g., cricket calls). Insects will be equipped with embedded MEMS transceivers that pick up modulated calling sounds from nearby insects. Once the information in a call is extracted by the transceiver, the information code is applied to an electromechanical device on board the insect that modulates the insect calls, thereby retransmitting the information to another insect, and so on. The modulation mechanism, among other methods, affects the sound producing movements (stridulation) of an insect''s wings. Human or machine-based detectors would demodulate and extract the transmitted information. Work leverages existing MEMS technologies already deployed in insect species by the team and elsewhere. Phase I will focus on the applicability of certain insect species to OrthopterNets, applicable MEMS devices, and issues related to energy harvesting, environmental factors, development of an OrthopterNet networking protocol, and other tasks. Complementary technologies, such as the use of RF microtransmitters and receivers embedded in the insects will also be investigated.

Lynntech, Inc.
7610 Eastmark Drive
College Station, TX 77840
Phone:
PI:
Topic#:
(979) 693-0017
Bikas Vaidya
CBD 09-106      Awarded: 6/15/2009
Title:Rapid Air/Vapor Sampling System for Chemical Threats
Abstract:First responders play very important roles in the protection of people and their properties, as well as in homeland security and national defense. Various kinds of protective suits, masks, gloves and boots are available for use as protection from the various hazardous conditions they may face. A GC/MS based method, ASTM F739-07, is commonly used to determine the duration during which a protective gear can provide protection against exposure to chemical threats under the condition of continuous contact. However, accurate evaluation of the rate of permeation of the threat agents through protective clothing under actual emergency conditions is still a challenge. This is because of the difficulties encountered with sampling, elimination of interferents, and the efficient transferral of analytes to the detector. To address this need, Lynntech is proposing to develop an air/vapor sampling system capable of: i) handling a high flow rate, ii) efficient capture and iii) rapid release of the potential chemical threats (for analysis by GC). The feasibility of using Lynntech’s air/vapor sampling system at 1L/min air flow at 90±2 şF and 80±5% RH will be demonstrated during Phase I, and a working prototype will be developed during the Phase II of the project.

SPACEHAB Government Services, Inc.
907 Gemini St.
Houston, TX 77058
Phone:
PI:
Topic#:
(713) 558-5270
David Rafferty
CBD 09-106      Awarded: 6/15/2009
Title:Integrated Pre-concentrator Membrane Inlet for Mass Spectrometer
Abstract:The project proposed here will develop a polymer based pre-concentrator integrated with a novel membrane inlet for a mass spectrometer. By using an integrated solution, the dead volume of the pre-concentrator can be minimized, thus increasing the pre-concentration gain (projected to be > 17000 with gas flows of 1 l/min containing analyte to 40 pg/l) well beyond that of solid sorbent tubes. Also, the proximity of the polymer material to the novel membrane dramatically reduces the thermal mass of the inlet, thus minimizing the analysis time required (project to be < 1 minute). Phase I of this proposal will consist of an investigation to determine the appropriate polymers for the sorption material. Candidate materials will be tested using SPACEHAB’s current pre-concentrator design and miniature mass spectrometer. After identification of the appropriate polymers, a detailed design of the integrated inlet will be produced. Under the proposed Phase I – Option, a prototype integrated inlet will be built, tested on a standard laboratory mass spectrometer, and delivered to CBD for testing.

TRITON SYSTEMS, INC.
200 TURNPIKE ROAD
CHELMSFORD, MA 01824
Phone:
PI:
Topic#:
(978) 250-4200
John Lock
CBD 09-106      Awarded: 6/15/2009
Title:Electrically Switchable Surfaces for Vapor Stream Concentration(1001-344)
Abstract:Trace detection usually requires a vapor concentrator that collects dilute analytes from a vapor sample and delivers them at a higher concentration to the detector. For humid vapor streams, cryogenic vapor concentrators can be unacceptable due to the condensation of water. Many adsorbent vapor collectors have the disadvantage of long sampling times and sometimes require desorption temperatures that can fragment heat- sensitive compounds. Triton Systems is developing a non-cryogenic, small-form-factor vapor concentrator that is able to adsorb either polar or non-polar analytes from a vapor sample. Fast desorption of the collected molecules is initiated with an electrical signal instead of heating. Triton Systems will demonstrate the functionality of its vapor concentrator concept by coupling the device to a detector and measuring known levels of trace chemical warfare agent (CWA) simulant vapors. An analysis will be done to correlate the performance of the vapor concentrator to major system parameters, including the vapor concentrator area, analyte concentration, vapor stream flow rate, temperature, and humidity. The results of this analysis will be used to optimize the design of a prototype that will be fabricated and implemented in Phase II for measuring the permeation of CWA through protective clothing materials.

OPTRA, Inc
461 Boston Street
Topsfield, MA 01983
Phone:
PI:
Topic#:
(978) 887-6600
Julia Rentz Dupuis
CBD 09-107      Awarded: 5/20/2009
Title:High-Speed Resonant FTIR Spectrometer for Surface Contaminant Measurements
Abstract:OPTRA proposes a high-speed resonant Fourier transform infrared (HSR-FTIR) spectrometer incorporating a multiple pass, reciprocating configuration and a resonant mirror structure to accomplish the scanning. The intended application is time-resolved thermal luminescence (TL) measurements of surface contaminants. The multiple pass configuration of the FTIR effectively reduces the physical stroke length required of the interferometer mirror for a given spectral resolution thereby enabling use of high speed linear resonant actuators such as piezos. The projected spectral acquisition rate is 10 kHz at 8 cm-1 spectral resolution over the 7-14 m spectral range. The projected per-scan noise equivalent spectral radiance (NESR) is 4×10-9 W/(cm2•ster•cm-1). The Phase I work plan will produce a conceptual design of the HSR-FTIR to be detailed, built, and tested during the Phase II.

Semiotic Engineering Associates LLC
332 Valverde SE
Albuquerque, NM 87108
Phone:
PI:
Topic#:
(505) 271-9925
Tudor N. Buican
CBD 09-107      Awarded: 5/27/2009
Title:Ultra High-Speed Spectroradiometry for Contamination Reconnaissance and Surveillance
Abstract:We propose to demonstrate the feasibility of a novel ultra-high-speed (UHS) infrared spectrometer that will operate as an essential component of Thermal Luminescence systems for standoff detection of surface contaminants. The proposed spectrometer will be able to detect transient thermal events in the fundamental vibrational fingerprint region of chemical warfare agents and of most toxic industrial chemicals.

Spectral Sciences, Inc.
4 Fourth Avenue
Burlington, MA 01803
Phone:
PI:
Topic#:
(781) 273-4770
Brian Gregor
CBD 09-107      Awarded: 5/21/2009
Title:Ultra High-Speed Spectroradiometry for Contamination Reconnaissance and Surveillance
Abstract:Spectral Sciences, Inc. proposes an innovative ultrafast spectroradiometer for transient thermal event detection at surfaces in order to provide contamination avoidance and mitigation. The proposed system combines an adaptive, software programmable spectral filter with advanced signal processing algorithms to identify contaminates based on transient thermal excitation of a sample. The adaptive spectroradiometer is combined with high-speed readout electronics to provide data acquisition rates superior to those of competing approaches. A laser source will be used to provide heating of the sample that is synchronized with data collection and analysis. The spectrometer’s spectral range, resolution, and other operating characteristics can be set in software, on-the-fly, providing the flexibility to adapt to a variety of measurement scenarios. The spectrometer can be programmed to perform specific detection algorithms directly in hardware, thereby reducing processing time and increasing selectivity for detecting weak spectral signatures against complex spectral backgrounds. Phase I will demonstrate the feasibility of the approach and develop a conceptual design for a Phase II prototype ultra-high speed spectroradiometer.

MESH, Inc.
114 Barnsley Road
Oxford, PA 19363
Phone:
PI:
Topic#:
(610) 932-7754
Larry B. Grim
CBD 09-108      Awarded: 5/20/2009
Title:Distributed Thermal Imaging Spectrometer for Force Protection
Abstract:This proposal describes how a very low cost hyperspectral imager can be built. The key to the low cost is the use of a commercially available thermal camera based on uncooled microbolometer as the detecting element. An interferometer is placed in front of the camera to produce the spectrum. Each frame of the camera captures one point of the interferogram, producing a hyperspectral image at 4cm-1 resolution in 40 seconds. By moving the mirrors of the interferometer to the equidistant position, the camera can work ing its normal mode. The instantaneous field of view of the hyperspectral pixels are .1 by .1 degrees. The overall size of the image is 36 by 27 degrees. The instrument will be mounted on a pan and tilt to facilitate scanning large areas.

Opto-Knowledge Systems, Inc. (OKSI)
19805 Hamilton Ave
Torrance, CA 90502
Phone:
PI:
Topic#:
(310) 756-0520
Nahum Gat
CBD 09-108      Awarded: 5/13/2009
Title:Uncooled Imaging Spectrometer for Plume detection
Abstract:Based on the CONOPS for gas plume detection, and the performance constraints of uncooled cameras, we propose to develop a dispersive scanning spectrometer, based on OKSI’s HyperScan and HyperSWIR family of scanning sensors. Not all uncooled cameras are equal, and not all exhibit the required characteristics for operating in spectral imaging systems under low flux environment. OKSI proposes to analyze the characteristics of multiple uncooled camera products and consolidate winning attributes into a single product that is specifically optimized for a personnel protection imaging spectrometer system. The proposal also discusses uncooled sensor designs and points out the various camera features appropriate for the low radiative flux environment. An approach to develop an uncooled camera that is specifically optimized for spectral imaging is set forth.

Spectrum Photonics, Inc.
2800 Woodlawn Dr., Suite 150
Honolulu, HI 96822
Phone:
PI:
Topic#:
(405) 880-4195
Edward Knobbe
CBD 09-108      Awarded: 5/14/2009
Title:Low Cost LWIR Interferometric HSI System
Abstract:The objective of the proposed work is to develop a hyperspectral sensor system in the 8 to 14 micron wavelength region (long wave infrared or LWIR) capable of detecting chemical agents of DoD and civil interest via spectral measurements at 4 wavenumber resolution. The technology is an evolution of a LWIR hyperspectral technology patented by the University of Hawaii and licensed to Spectrum Photonics based on a static (no moving parts) interferometer and uncooled microbolometer detector technology. Two sensors have been developed and demonstrated in airborne and ground-based IED and landmine detection experiments. The technical innovation in this project will be to increase the spectral resolution of the sensor to 4 wavenumbers from the current 20 wavenumbers and miniaturize the data processing hardware.

Orono Spectral Solutions Inc.
983 Stillwater Avenue
Old Town, ME 04468
Phone:
PI:
Topic#:
(866) 269-8007
Luke Doucette
CBD 09-109      Awarded: 5/21/2009
Title:Electrostatic, non-fluorescent trigger for aerosolized biological threats using fluctuation enhanced sensing.
Abstract:The objective of this Phase I proposal is to perform a theoretical exploration of the fundamental and practical limits of detection by fluctuation enhanced sensing and statistical inference based sensing methods when applied to an electrostatic-based trigger for non-fluorescent biological warfare threats. To enable < 1000 ACPLA detection levels of bacterial spores in real-time, these statistical methods will be applied to electrometer noise patterns when particle concentrations produce electric currents that are at or below the characteristic signal-to-noise level of the electrometer. The proposed hardware design for the electrostatic trigger is based upon the Faraday cup electrometer design for detecting ionized/unipolar charged aerosol particles. The electrostatic trigger will be a modification of an existing electrostatic precipitator detection system that is currently being developed. To facilitate low detection levels of bacterial spores beyond conventional Faraday cup designs, a novel corona pre-charge section will be incorporated within the trigger. The corona pre-charge section will maximize the amount of imparted charge per spore, thereby resulting in the largest possible electric currents produced per spore as measured by the collector cup.

Scientific Applications & Research Assoc., Inc.
6300 Gateway Dr.
Cypress, CA 90630
Phone:
PI:
Topic#:
(714) 224-4410
Ben Thien
CBD 09-109      Awarded: 5/27/2009
Title:Bioweapon Identification and Triggering by Ionization Signatures
Abstract:Modern bioweapon detection systems are highly accurate, but require expensive reagents to operate. To reduce costs, a less discriminate trigger system is used to signal the primary detector when a suspicious aerosol is present. Currently deployed UV fluorescence based trigger systems operate successfully, but only work with fluorescent bioweapons. An advanced technology is urgently needed to address bioweapon threats that do not fluoresce under UV light. The measurement of the ionization signatures of bioaerosol particles created by an electrostatic field is a technology that offers a solution. Aerosol is passed through a high intensity electric field that ionizes the particles and leaves them electrically charged in a unique pattern. The particles are then impacted on an electrode and the resulting current flows are measured. The relatively weak electrical signals are then analyzed with a suite of higher order statistical and spectral methods termed Fluctuation Enhanced Sensing (FES). The calculated FES parameters are examined and searched for known patterns indicating the presence of a dangerous aerosol. Once a probable threat is detected, the trigger system signals the main detection system to sample the air and make a more accurate discrimination.

SIGNAL PROCESSING, INC.
13619 Valley Oak Circle
ROCKVILLE, MD 20850
Phone:
PI:
Topic#:
(240) 505-2641
Chiman Kwan
CBD 09-109      Awarded: 5/15/2009
Title:Electrostatic, Non-Fluorescent, Fluctuation Enhanced, Bacterium Spore Analyzer
Abstract:This SBIR project, by utilizing the principle of Fluctuation-Enhanced Sensing (FES), aims to explore the potential of enhancing the sensitivity and selectivity of electrostatic bacterium spore analyzers, specifically Ion Mobility Spectrometers (IMS) and Mass Spectrometers (MS). We propose a high performance framework that incorporates FES to enhance the detection and classification of bio-aerosols. There are several key components in our system. First, for IMS and MS, different theoretical noise analysis techniques will be applied to analyze noise behavior in different sensors. These theoretical analyses will provide critical information on the sensing limits of different sensors. Second, a library of signal processing/pattern recognition tools will be incorporated to further enhance the detection and classification capability of our framework. We will use a low noise amplifier to enlarge the small stochastic fluctuations in the sensor. Features such as mean-square fluctuations, skewness, kurtosis, power spectrum, zero-crossing patterns, bispectrum images of the fluctuations will be extracted. Various advanced and proven classification algorithms will be used for different features. Finally, we will feed the decisions from different classifiers into a fusion algorithm. A single decision will be drawn, which is robust and optimal, as all information has been taken into account.

DECISIVE ANALYTICS Corporation
1235 South Clark Street Suite 400
Arlington, VA 22202
Phone:
PI:
Topic#:
(703) 682-1615
Chris Smith
CBD 09-110      Awarded: 5/20/2009
Title:CBRN Sensor and Sensor Netting Algorithms
Abstract:If given the opportunity, a terrorist organization such as al Qaeda could unleash Chemical, Biological, Radiological or Nuclear (CBRN) material in future attacks. Accordingly, future CBRN combat system requirements include an online network of traditional and non- traditional CBRN sensors to improve situation awareness and response to a CBRN event. The key to exploiting this advanced capability, however, will lie in the ability to combine and accurately interpret the disparate sensor detections so that a high-fidelity Single Integrate Picture (SIP) of the battlespace can be provided to the Combatant Commanders. To develop an effective SIP, the tracking and fusion algorithms must also overcome real- world challenges such as communication limitations, sensor registration problems, and real-time performance requirements. The DECISIVE ANALYTICS Corporation (DAC) team proposes to overcome these real-world problems through our innovative data fusion, sensor netting, and sensor resource management algorithms. The CBRN Real-time Advanced Classification and Tracking (CBRN-ReACT) system will improve threat identification and tracking accuracy by combining our state-of-the-art fusion framework, which naturally accommodates new and diverse sensor data as well as unanticipated sensor behavior in the face of increasingly difficult scenarios, with our tool for positioning sensors before and repositioning mobile sensors during a CBRN event.

MESH, Inc.
114 Barnsley Road
Oxford, PA 19363
Phone:
PI:
Topic#:
(610) 932-7754
Thomas Gruber
CBD 09-110      Awarded: 5/27/2009
Title:CBRN Sensor and Sensor Netting Algorithms
Abstract:Being proposed is a way to integrate the inputs from multiple sensors and different types of sensors to produce a map of the chemical threat. This technique weights every input based on type of sensor, minimum detectable level, health and status of each instrument, and time and position errors. The Sensor Netting Algorithm (SNA) will be based on tomography with weighting factors. The output will be a map of the fused data along with the uncertainty for each pixel or voxel. The SNA can perform as a distributed algorithm with maps produced at the local level with limited number of sensors, and the SNA outputs and uncertainties can be joined together at a higher level where multiple local maps are available. For example, each local SNA could be for a particular sensor net. At the top level, the individual sensor nets can be joined. SNA can even tell if two sensor nets are reporting the same or a different cloud.

Numerica Corporation
4850 Hahns Peak Drive Suite 200
Loveland, CO 80538
Phone:
PI:
Topic#:
(970) 461-2422
Randy Paffenroth
CBD 09-110      Awarded: 5/14/2009
Title:CBRN Sensor and Sensor Netting Algorithms
Abstract:Coordination and merging of multiple distributed sensors over a communications network can substantially improve estimates of the type and severity of potential hazards for command and control (C2) decision makers. These sensors include long range instruments such as radar, infrared (IR), electro-optical, and long wave hyper spectral; short range instruments such as Raman spectrometers; and a wide array of point sensors such as ion mobility spectrometers (IMS) and chemical-resistor arrays. IR spectrometers, IMS, and Raman Spectrometers have been particularly successful at chemical detection in the past and will thus be a focus of this effort. However, in order to fully utilize this rich collection of data for threat detection and characterization, advanced algorithms are required for data fusion as such fusion is an important part of C2 decision making in WMD scenarios. Herein we propose a system for robustly computing the appropriate ambiguity measures for advanced data fusion algorithms.

Physical Sciences Inc.
20 New England Business Center
Andover, MA 01810
Phone:
PI:
Topic#:
(978) 689-0003
Edward A. Rietman
CBD 09-110      Awarded: 6/9/2009
Title:Sensor Fusion Software Tool for CBRN Global Threat Prediction and Assessment
Abstract:Physical Sciences Inc. (PSI) proposes to develop a software tool that is capable of fusing disparate data sources including hyperspectral standoff sensor data products, weather information, and point sensor data generated from a deployed network of sensors. The proposed software suite will be based on an algorithm that will compute the threat type, spatial and temporal concentration profiles as well as the statistical confidence of the results. This information will be overlaid on a geo-referenced map in order to provide the end-user with an integrated picture of the battle space. The software will be based on the latest developments in statistical learning theory and information fusion. These algorithms will rely on individual sensor performance data (P-d and P-fa) that are generated based on known sensitivity, selectivity, vulnerability, and propensities for false alarm for each individual sensor. As a result of this capability, the software tool will provide the end-user with a network performance prediction of the cloud track and concentration distribution as well as a confidence assessment associated with reported detections across the grid.

Torch Technologies, Inc.
4035 Chris Drive Suite C
Huntsville, AL 35802
Phone:
PI:
Topic#:
(256) 319-6000
Jim Schwaiger
CBD 09-110      Awarded: 6/1/2009
Title:CBRN Sensor and Sensor Netting Algorithms
Abstract:This Phase I SBIR proposal presents the Torch Technologies approach for the development of advanced, innovative, robust real-time algorithms for the integration of passive and active electro-optical sensor detections and identification information. In our proposal, we detail our ideas regarding the optimal fusion of Chemical Warfare (CW) agent sensor data within the innovative data fusion architecture developed by Torch Technologies for the U.S. Army Dugway Proving Ground (DPG). The proposed approach merges the DPG data fusion architecture, called ACRES (Advanced Chemical Release Evaluation System) with a Fourier Transform (FT) Raman spectrometer model and Ballistic Missile Defense (BMD) sensor network modules, all developed by Torch personnel during the past 10 years, into a single framework. The framework will be designed to support feasibility assessments of enhanced multi-sensor CW data fusion concepts. The primary objective of the Torch Phase I SBIR will be to implement a distributed CW sensor network emulation in order to evaluate the feasibility of enhanced multi-sensor CW data fusion using an ACRES CW Agent identification (ID) feature augmented cloud measurement data fusion process. We will do this using a representative DTRA CW agent sensor track correlation/netting scenario using simulated CW agent sensor data communicated to the sensor data fusion node over an emulation of a Joint Sensor Network. The primary innovation in the Torch proposed effort is to apply our ACRES high-dimensionality CW Agent cloud state vector estimation process as a means to optimize the DTRA CW defense multi-sensor data fusion process.