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Ben Rollins 925.705.1225 [email protected] SMBB Building, Rm 5543 36 South Wasatch Dr. Salt Lake City, UT 84112

Vaporsens Technical Summary

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Overview of organic nanofiber technology for trace detection of chemicals.

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  • N a n o f i b e r S e n s o r s f o r

    Tr a c e C h e m i c a l D e t e c t i o na d v a n c e s i n e l e c t r o n i c n o s e t e c h n o l o g y

  • Overview

    Vaporsens is developing a novel, portable gas and vapor sampling device capable of detecting trace amounts of chemicals with greater sensitivity, accuracy, and speed than has been heretofore possible in such a small package. In short, it is an electronic nose.

    Electronic noses have previously been researched and even commercialized, however, they have been limited by sensor lifetime, lack of sensitivity, and selectivity (when using conducting polymers), or by humidity, environmental effects, and selectivity (when using Nanotubes and Metal Oxide Nanowires). Vaporsens overcomes these limitations with its organic nanofiber technology.

    Current Development Platform. The Technology Readiness Level of the device is

    a 7 for industrial applications and a 5 for defense applications (on a scale of 1-9)

    Platform Benefits

    Small Size: Current desktop prototype is about the size of a matchbox and it can be shrunk further

    Highly Sensitive: For trace amounts from the parts per million to parts per trillion range

    Selective: Selective towards multiple chemicals as demonstrated in 30 publications

    Rapid Response: Sensors respond immediately

    Sample input: Ambient air, headspace, or process line

    Replaceable Sensor: The sensor can be easily replaced as needed. Depending on the application the sensor may need replacement every 1-12 months

    Low Power Requirements

    No Radioactive Materials

    A Nanofiber-based chemiresistor detection technology :

  • Trace Chemical DetectionThe Vaporsens sensor creates different signatures for different chemicals. Sensors are especially sensitive to redox active chemicals including: Amines, Nitros, Phosphines, Peroxides, Phenols, Ammonia, and other substances such as TICs, Chemical Agents, Pesticides, Explosives.

    The sensor is not intended for Nuclear, Radiological, or Biological (directly, but potentially is capable of detecting the metabolites of organisms) targets and it is selective against these substances.

    At this stage, the detector is to be used to alarm for the presence of trace chemicals rather than provide precise quantitative measurements.

    The sensors demonstrate very good specificity between chemical classes and good specificity within a chemical class. It is ideal for

    Detecting a chemical in the presence of a strong background Detecting a chemical out of complex mixture Monitoring an entire complex mixture.

    A response signature or finger print for each compound is shown. A response signature results from the combination of the responses of the 8 fibers. The data shown is preprocessed for better classification. Each nanofiber sensor was exposed for 200 seconds. (FN is Fiber Number)

  • Chemicals detectedExplosives NitrosPeroxides

    Tested to Date Nitromethane DNT (Dinitrotoluene) TNT (Trinitrotoluene) ANFO (Ammonium Nitrate

    Fuel Oil) Ammonium Nitrate PETN (may detect taggant) RDX (may detect taggant) TATP (Triacetone

    Triperoxide) H2O2 (Hydrogen Peroxide)

    Amine Containing CompoundsTested to Date N-MethylPhenethylamine (Isomer of

    Amphetamine/Methamphetamine analog)

    Methylamine (Used in Synthesis of Methamphetamine)

    Ammonia (Used in Synthesis of Methamphetamine)

    Aniline Triethylamine Diethylamine

    TICs - Toxic Industrial ChemicalsAcidsAcid PrecursorsPeroxides

    Tested to Date: Cl2 (Chlorine Gas) NH3 (Ammonia) H2O2 (Hydrogen Peroxide) SO2 (Sulfur Dioxide) HCl (Hydrochloric Acid) TEP (Triethyl Phosphate) PH3 (Phosphine) HCN (Hydrogen Cyanide) Arsine Formaldehyde

    VOCs Volatile Organic Compounds Benzaldehyde Hexane Acetone Ethanol Diesel Fuel Nitrobenzene Formaldehyde

    CWAs - Chemical Warfare AgentsPhosphatesSulfidesPhosgene

    Tested to Date: TEP (Triethylphosphate) DMMP (Dimethyl

    methylphosphonate) ) (Sarin Analog)

    2-Chloroethyl ethyl sulfide (Mustard Gas)

    Triphosgene Methyl Salicylate

    Food SafetyTCA (Trichloroanisole)*Melamine*Trimethylamine

    Other chemicals within this class that are of interest

  • Potential ApplicationsPotential Applications: Trace Detector for Explosives, Chem Agents, Toxic Chemicals, Food Safety, Taints in Food and beverage, Gas Leaks, Pharmaceutical safety.

    Quality AssuranceLaboratory device with greater

    sensitivity to vapors than current equipment.

    Handheld Point Detection Handheld detector roughly one-fourth the weight and one-half the size of the

    current Ion Mobility Spectrometry (IMS) based portable systems. (NSF Funding)

    Remotely Networked Monitors Remote detection of harmful chemicals. Low battery requirements result in long

    lifetime. (DTRA Funding)

    Wearable Monitor Lightweight wearable monitors for monitoring TICs or Chemical Agent

    Devices.

    Fixed Monitor For more robust, long-term monitors, stationary monitors with an external

    power source can be developed.

  • Comparison to Other E-nose Technologies

    Sensor Type MOS CP QCM SAW Nanofiber

    Operating Temp C 300-400 Ambient Ambient Ambient Ambient

    Sensitivity >0.1ppm 0.01ppm >0.1ppm ppb ppt

    Selectivity Poor Moderate High High High

    Reproducibility Poor Good Moderate Moderate Good

    Temperature Drift Low High Moderate High Low

    Humidity Drift Low High Low Low Low

    Response time (s) 0.5-5 20-50 20-50 20-50 5-60

    Recovery time Fast Slow Slow Slow Fast

    Lifetime (years) 3 to 5 1 to 2

  • Comparison to Current Trace Technologies

    Sen

    siti

    vity

    Selectivity

    Polymer FilmAFP

    Portable GC/MS

    PID

    IMS

    Nanofiber

  • Comparison to Current Trace Technologies

    Port

    abili

    ty

    Cost Effectiveness

    Polymer FilmAFP

    Portable GC/MS

    PID

    IMS

    Nanofiber

  • Technology - Organic Nanofibers The detector is based on patented organic nanofiber sensors which were originally

    developed at the University of Utah with funding from the Department of

    Homeland Securitys Explosives Division.

    Organic Nanofibers: Vaporsens sensor materials are organic nanofibers capable of

    detecting trace amounts of target chemicals of interest. In brief, our nanofibers are

    prepared from building block molecules (based on a perylene core molecule) with

    unique side groups.

    These building block molecules are then made to self-assemble into nanofibers by

    manipulating parameters including solvent polarity and temperature. The

    nanofibers can then be coated onto a substrate. Because the nanofibers are

    conductive, when they are coated onto interdigitated electrodes (IDEs) they

    complete an electrical circuit.

  • Technology Sensing Mechanism

    The mechanism is a chemiresistor approach:

    our sensor changes its electrical resistance in

    response to changes in a nearby chemical

    environment.

    The nanofibers form a net or porous structure

    with a large surface area that specifically

    captures targeted molecules from the air

    through molecular diffusion and surface

    adsorption.

    (A) SEM image of nanofibers coated on glass. (B) Nanofibers suspended in ethanol. (C) Interdigitated electrode. (D) Fibers coated onto

    interdigitated electrode and wire bonded onto sensor board array. (E) Sensor board array plugs into electronic base.

    BA C D E

    When the nanofibers capture target molecules, they will either withdraw electrons from the chemical or donate electrons to itresulting in an increase or decrease in observed current. The response time for detection is then measured in seconds, not minutes.

    Over thirty fibers have been developed to date. Each one responds differently to a chemical group. When the nanofiber sensors arecombined into an array, their combined responses form a unique signature pattern or smell-print for each chemical. Furthermore, an essentially unlimited number of nanofibers can be developed leading to further improved selectivity for a broader range of target analytes.

  • BackgroundThe sensor technology originated from research funded by previous Homeland Security and National Science Foundation grants in support of Dr. Ling Zangs work on sensory nanomaterials at the University of Utah, which has generated over 30 peer-reviewed publications and 10 patents.

    Vaporsens was incorporated in 2011 to commercialize this sensor technology and has received external seed funding from private investors. In 2013, DOD-DTRA awarded Vaporsens $1.4M (via subcontract) to develop the sensory materials into remotely networked chemical vapor sensors. In 2014, the NSF awarded Vaporsens a Phase II SBIR to develop a handheld explosives vapor detector. Vaporsens now has 6 full-time employees and 2 part time. Key personnel include:

    Ben Rollins, Project Manager: Entrepreneur and project manager now leading his second technology transfer startup.

    Dr. Ling Zang, CSO and Advisor: Research on sensory nanomaterials has resulted in over 30 peer-reviewed publications and 10 patents.

    Paul Slattum, Sr. Chemist: An author of 11 papers and inventor on 11 patents. Over 20 years of industrial experience in organic chemistry.

    Dr. Yin Sun, PI: Analytical chemist with over 16 years in the trace detection and instrumentation industry. Authored two books on trace detection. Led developments at Smiths Detection and Spectrafluidcs.

    Paul Allen, Sr. Engineer: Electrical, Mechanical, Industrial engineer with experience in startups and new products

    Dr. Greger Andersson, Principal Scientist, Data Analytics: Brings over 20 years of experience working on chemometrics for various technologies including IMS and Metal Oxide Sensors.

  • Patents and Selected PublicationsPatent Status IP Type Number

    Perylene Nanofiber Fluorescent Sensor for Highly Sensitive and Selective Sensing of Amines

    Issued U.S. Patent No. 8,486,708 B2

    Photoconductive sensor materials for detection of explosive vapor Issued U.S. Patent No. 8,889,420

    Optoelectrical vapor sensing Issued U.S. Patent No. 8,703,500

    Fluorescent Carbazole Oligomers Nanofibril Materials for Vapor Sensing Issued U.S. Patent No. 8,809,063

    Fluorescent Sensing of Vapors Using Tubular Nanofibril Materials PublishedPublication numberWO2013066458 A3

    Multimode platform for detection of compounds Published Publication number WO2013095730

    Selected Publications

    Diffusion-Controlled Detection of Trinitrotoluene: Interior Nanoporous Structure and Low Highest Occupied Molecular Orbital Level of Building Blocks Enhance Selectivity and Sensitivity, Che et al., Journal of the American Chemical Society 2012 134 (10), 4978-4982, DOI: 10.1021/ja300306e

    Organic Optoelectronic Materials for Trace Explosive Sensing, Zhan et al.

    Ambient photodoping of p-type organic nanofibers: highly efficient photoswitching and electrical vapor sensing of amines, Che et al., Chem. Commun., 2010,46, 4127-4129, DOI: 10.1039/C0CC00823K

    Ultrathin n-Type Organic Nanoribbons with High Photoconductivity and Application in Optoelectronic Vapor Sensing of Explosives, Che et al., Journal of the American Chemical Society 2010 132 (16), 5743-5750, DOI: 10.1021/ja909797q

    One-Dimensional Self-Assembly of Planar -Conjugated Molecules: Adaptable Building Blocks for Organic Nanodevices, Zang et al., Accounts of Chemical Research 2008 41 (12), 1596-1608, DOI: 10.1021/ar800030w

    Expedient Vapor Probing of Organic Amines Using Fluorescent Nanofibers Fabricated from an n-Type Organic Semiconductor, Che et al., Nano Letters 2008 8 (8), 2219-2223 DOI: 10.1021/nl080761g

  • Sensor CharacteristicsThe following slides represent a few of the characteristics of the nanofiber sensor.

  • Sensitivity

    Chemical Class

    Chemical AgentVaporsens Preliminary Limit

    of Detection (ppm) Critical

    Concentration 1Negligible

    Concentrations 1

    Based on a 30 seconds exposure to analyte

    Military Requires Detection within 30 Seconds

    Military Requires Detection within 180

    Seconds

    NerveSarin Simulant (GB) - Dimethyl methyl phosphonate(DMMP)

    0.018 0.043 0.001

    BlisterMustard Gas Simulant (HD) - 2-Chloroethyl ethyl sulfide

    0.650 0.4900 0.0785

    TIC Ammonia (NH3) 0.016 2732.65 30.2

    Sulfur Dioxide (S02) 0.019 30.18 0.2

    Phosgene 0.020 3.71 0.099

    Chlorine 0.0003 51.65 0.52

    Hydrogen Cyanide (CK) 0.021 9.06 0.68

    All numbers in ppm

    1 Aberdeen Proving Ground, MD; Performance Specifications for the Next Generation Chemical Detector, 2013

    Results from preliminary sensitivity testing of toxic chemicals and chemical warfare agents simulants. Current prototype meets or exceeds military requirements.

  • Selectivity

    PCA analysis to show that these chemical compounds can be separated.

  • Interferent DMMP/AcetoneBackground interferents have little affect on the nanofiber response to an analyte. This test shows the nanofiber sensor arrays response to 9 ppm of DMMP (a common toxic chemical) in the presence of increasing concentrations of Acetone (0, 2 ppth, 13 ppth, 78 ppth) Although the amount DMMP is orders of magnitude less than the acetone, the fibers response to DMMP is nearly identical. Nearly 4 orders of magnitude!

    8 Channel Sensor Array Responses to DMMP over time

    Signature Similarity Scores

    Acetone Concentration 0%1%

    (3ppth)5%

    (13ppth)30%

    (78ppth)

    Measured 94% 98% 99% 94%

    Corrected 99.8% 99.6% 99.7% 99.7%

    8 Channel Sensor Arrays Normalized Responses to DMMP in Increasing Levels of Acetone

    Raw Data: Average relative response of sensors over 60 seconds. 4 different interferent levels.

    Processed Data: Decomposed data from model tool

    Two different 3 minute exposures to 9 ppm of DMMP at 10 minutes and again at 23 minutes

  • Interferent DMMP/HexaneThis test shows the nanofiber sensor arrays response to 9 ppm of DMMP (a common toxic chemical) in the presence of increasing concentrations of Hexane (0, 1 ppth, 7 ppth, 39 ppth) Although the amount DMMP is orders of magnitude less than the Hexane, the fibers response to DMMP is nearly identical.

    Two different 3 minute exposures to DMMP at 10 minutes and again at 23 minutes

    Signature Similarity Scores

    Hexane Concentration 0% 1% 5% 30%

    Measured 94% 99% 99% 95%

    Corrected 99.7% 99.9% 99.7% 99.9%

    8 Channel Sensor Arrays Normalized Responses to DMMP in Increasing Levels of Hexane

    Raw Data: Average relative response of sensors over 60 seconds. 4 different interferent levels.

    Processed Data: Decomposed data from model tool

    8 Channel Sensor Array Responses to DMMP over time

  • Temperature Effect - DMMPBackground temperature has little affect on the nanofiber response to an analyte. This test shows the nanofiber sensor arrays response to 9 ppm of DMMP in the presence of temperature levels (2 C, 26 C, 35 C, 42 C). The fibers response to DMMP is very similar over different temperatures.

    Signature Similarity Scores

    Temperature 2 C 26 C 35 C 42 C

    Measured 95% 97% 99% 94%

    Corrected 99.5% 99.6% 99.9% 98.9%

    8 Channel Sensor Arrays Normalized Responses to DMMP at Different Temperatures

    Raw Data: Average relative response of sensors over 60 seconds to varying temperatures.

    Processed Data: Decomposed data from model tool

    Two different 3 minute exposures to DMMP at 10 minutes and again at 23 minutes

    8 Channel Sensor Array Responses to DMMP over time

  • Humidity Effect - DMMPThe following demonstrates the humidity effect on the nanofiber responses to an analyte. This test shows the nanofiber sensor arrays response to 9 ppm of DMMP in the presence of increasing humidity levels (10%, 35%, 50%). The fibers response to DMMP is very similar over different humidity.

    (Raw Data) (Corrected Data)

    Signature Similarity Scores

    Relative Humidity 10% 35% 50%

    Measured 98% 98% 96%

    Corrected 99.8% 99.7% 99.6%

    8 Channel Sensor Arrays Normalized Responses to DMMP at Different Humidity Levels

    Raw Data: Average relative response of sensors over 60 seconds to varying humidity levels (at 42 C / 107 F).

    Processed Data: Decomposed data from model tool

    Two different 3 minute exposures to DMMP at 10 minutes and again at 23 minutes

    8 Channel Sensor Array Responses to DMMP over time