1st detect presentation - apr 2012 - tedw

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0 1 st Detect Proprietary 1 st Detect Proprietary www.1stdetect.com In-Vacuo Thermal Desorption and Detection of Explosives Using a Miniature Mass Spectrometer Warren Mino, David Rafferty, Abrar Riaz, Michael Spencer, William Stott, James Wylde 1 st Detect Corp April 2012 Trace Explosives Detection Workshop

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0 1st Detect Proprietary 1st Detect Proprietary www.1stdetect.com

In-Vacuo Thermal Desorption and Detection of Explosives Using a Miniature Mass Spectrometer

Warren Mino, David Rafferty, Abrar Riaz, Michael Spencer, William Stott, James Wylde

1st Detect Corp

April 2012 Trace Explosives Detection Workshop

1 1st Detect Proprietary 1st Detect Proprietary www.1stdetect.com

MMS-1000

True Portable Mass Spectrometer Cylindrical Ion Trap Commercial release at Pittcon 2012

Portable Size & Lightweight 6”x 12”x 8” / 4 - 7 kg (9-16 lbs.)

Highly Sensitive ppm - direct leak ppb - membrane inlet ppt - pre-concentrator

Key Performance Specifications 30 - 450 amu (customizable to ~650 amu) < 0.5 amu resolution (< 0.3 amu typical) 1 sec cycle time (user programmable) MS2 capable (MS3 in manual mode) with > 90% efficiency ~ 45 W average power consumption (~65 W max) Auto-tune with internal standard

Deployments Pesticide detection (food products) Evolved gas analysis Explosives & CWA / threat detection

Cost Competitive with IMS

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MOTIVATION

Why mass spectrometry for explosives detection? Increased specificity and resolution

Increased number of threats detected simultaneously

Confirmational / orthogonal analysis (e.g., GC-MS, MS/MS, etc.)

Easily adapted to new threats

Multiple ionization techniques

However, detection of explosives using MS is hampered by: Mass specs are inherently vapor analyzers – explosives tend to have low vapor pressures

Vacuum nature of MS – need to cross vacuum barrier

Thermal disassociation of explosives beyond recognition

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PRE-CONCENTRATOR

SBIR Phase I & Phase II awarded by DTRA & DPG

Used to measure permeation rate through protective clothing (ASTM F079*)

Enables fast analysis of swatch testing

Challenge: Detect 13 TICs to 40 pg / l using miniature mass spec

1 l / min flow

30 second cycle time

Non-cryogenic

Universal

Accommodate hydrophobic and hydrophilic compounds

*Standard Test Method for Permeation of Liquids and Gases through Protective Clothing Materials under Conditions of Continuous Contact

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PRE-CONCENTRATOR

Novel sorbent and design configuration

Increases concentration gain 103 to 105

Dramatically increases the sensitivity of the instrument

30 second cycle time

Gain effected by two means: Chemical gain of sorbent

Evacuation gain

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Objective: Find lower limit of detection from membrane inlet and determine gain in concentration (improvement in sensitivity) with the pre-concentrator

Kin-Tek gas generator was used to create 4 different concentrations of tetrachloroethylene (TCE) and toluene

TCE Conc: 1.338 ppm, 671 ppb, 340 ppb, and 170 ppb

Toluene Conc: 1.218 ppm, 610 ppb, 305 ppb, 155 ppb

The lowest concentrations (170 ppb TCE) and (155 ppb Toluene) were used for measuring with the Pre-concentrator

Pre-concentrator was set to 5 seconds of sampling

Pre-concentrator temperature profile was ramped over 15 seconds

PRE-CONCENTRATOR

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PRE-CONCENTRATOR

TCEm/z 166

Counts: 756

Toluenem/z 91

Counts: 698

Sample output (TCE 1.338 PPM Toluene 1.218 PPM)

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PRE-CONCENTRATOR

0

5000

10000

15000

20000

25000

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200

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400

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800

0 200 400 600 800 1000 1200 1400

Ion

Curr

ent (

Coun

ts)

Pre-

conc

entr

ator

Inle

t

Ion

Curr

ent (

coun

ts)

Mem

bran

e In

let

Concentration (ppb)

Toluene

Toluene (MIMS)

Toluene (PC)

P/C Gain ~252x

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0 200 400 600 800 1000 1200 1400 1600

Ion

Curr

ent (

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ts)

Pre-

conc

entr

ator

Inle

t

Ion

Curr

ent (

coun

ts)

Mem

bran

e In

let

Concentration (ppb)

TCE

TCE (MIMS)

TCE (PC)

P/C Gain ~224x

Measured gains

TCE: 225x

Toluene: 252x

However:

Lower concentrations governed by lower limit of gas generator

Lowest gas generator concentration saturated detector with P/C activated

Gains expected 103 - 105

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PRE-CONCENTRATOR

Measured gains on QQQ with diluted samples (< 1 ppb)

Gain 103 – 105 measured

Instrument ppb -> pptr

1.E-01

1.E+00

1.E+01

1.E+02

1.E+03

1.E+04

1.E+05

1.E+06

Direct Sorbent 1 Sorbent 2 Sorbent 3 Sorbent 4

Tota

l Ion

Cur

rent

Pre-concentrator GainNitrobenzene

1.E-01

1.E+00

1.E+01

1.E+02

1.E+03

1.E+04

1.E+05

Direct Sorbent 1 Sorbent 2 Sorbent 3 Sorbent 4

Tota

l Ion

Cur

rent

Pre-concentrator GainAcetone

1.E-01

1.E+00

1.E+01

1.E+02

1.E+03

1.E+04

Direct Sorbent 1 Sorbent 2 Sorbent 3 Sorbent 4

Tota

l Ion

Cur

rent

Pre-concentrator GainEthyl Acetate

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EXPLOSIVES DETECTION

Objective: demonstrate that the MMS-1000 with EI is able to measure a representative list of explosives

Experimental: Explosive standards (1 mg/ml in MeOH) presented to pre-concentrator

Headspace sampled for 10 seconds

Pre-concentrator evacuated (~1 mTorr)

Analyte desorbed using 30 second ramp profile

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EXPLOSIVES DETECTION

The requisite plot for vapor folks……

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PERFLUORODECALIN

443

RDX

EXPLOSIVES

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PERFLUORODECALIN

443

UREA NITRATE

EXPLOSIVES

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PERFLUORODECALIN

443

AMMONIUM NITRATE

EXPLOSIVES

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EXPLOSIVES

PERFLUORODECALIN

443

HMTD

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EXPLOSIVES

PERFLUORODECALIN

443

PETN

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EXPLOSIVES

PERFLUORODECALIN

443

EGDN

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PERFLUORODECALIN

443

EGDN

SEPARATION

P/C can be operated with a temperature ramp rather than ‘flash’ desorbed Software also allows for single ion monitoring Will provide functionality similar to GC but without the time and power requirements

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CONTACT SAMPLING

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CONTACT SAMPLING - EXAMPLE

PERFLUORODECALIN

443 199

179

152

138

162 124

93

DIAZINON

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PHOTOIONIZATION

Xylene

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PHOTOIONIZATION

Methyl Salicylate

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Headspace over traditional and nitrate based HMEs demonstrated with pre-concentrator

Characteristic spectra measured for candidate explosives

Thermal desorption demonstrated with vacuum based MS

Alternate ionization demonstrated for parent precursor molecule detection

Next steps:

Salts

Characterization (detection limits, interferents, de-convolution / identification, etc.)

Optimization

CONCLUSIONS

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Acknowledgements Defense Threat Reduction Agency, JSTO-CBD

University of North Texas

1st Detect Houston R&D Team

Thank you for your time