Literature DB >> 28598144

Use of Mass Spectrometric Vapor Analysis To Improve Canine Explosive Detection Efficiency.

Ta-Hsuan Ong1, Ted Mendum1, Geoff Geurtsen1, Jude Kelley1, Alla Ostrinskaya1, Roderick Kunz1.   

Abstract

Canines remain the gold standard for explosives detection in many situations, and there is an ongoing desire for them to perform at the highest level. This goal requires canine training to be approached similarly to scientific sensor design. Developing a canine training regimen is made challenging by a lack of understanding of the canine's odor environment, which is dynamic and typically contains multiple odorants. Existing methodology assumes that the handler's intention is an adequate surrogate for actual knowledge of the odors cuing the canine, but canines are easily exposed to unintentional explosive odors through training material cross-contamination. A sensitive, real-time (∼1 s) vapor analysis mass spectrometer was developed to provide tools, techniques, and knowledge to better understand, train, and utilize canines. The instrument has a detection library of nine explosives and explosive-related materials consisting of 2,4-dinitrotoluene (2,4-DNT), 2,6-dinitrotoluene (2,6-DNT), 2,4,6-trinitrotoluene (TNT), nitroglycerin (NG), 1,3,5-trinitroperhydro-1,3,5-triazine (RDX), pentaerythritol tetranitrate (PETN), triacetone triperoxide (TATP), hexamethylene triperoxide diamine (HMTD), and cyclohexanone, with detection limits in the parts-per-trillion to parts-per-quadrillion range by volume. The instrument can illustrate aspects of vapor plume dynamics, such as detecting plume filaments at a distance. The instrument was deployed to support canine training in the field, detecting cross-contamination among training materials, and developing an evaluation method based on the odor environment. Support for training material production and handling was provided by studying the dynamic headspace of a nonexplosive HMTD training aid that is in development. These results supported existing canine training and identified certain areas that may be improved.

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Year:  2017        PMID: 28598144     DOI: 10.1021/acs.analchem.7b00451

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  5 in total

Review 1.  Interpol review of detection and characterization of explosives and explosives residues 2016-2019.

Authors:  Douglas J Klapec; Greg Czarnopys; Julie Pannuto
Journal:  Forensic Sci Int       Date:  2020-06-17       Impact factor: 2.395

2.  Vapor Signatures of Double-Base Smokeless Powders and Gunshot Residues for Supporting Canine Odor Imprinting.

Authors:  Ta-Hsuan Ong; James Ljunggren; Ted Mendum; Geoff Geurtsen; Roderick Russell Kunz
Journal:  ACS Omega       Date:  2022-06-17

3.  Engineering synthetic breath biomarkers for respiratory disease.

Authors:  Leslie W Chan; Melodi N Anahtar; Ta-Hsuan Ong; Kelsey E Hern; Roderick R Kunz; Sangeeta N Bhatia
Journal:  Nat Nanotechnol       Date:  2020-07-20       Impact factor: 40.523

Review 4.  Recent Developments in Spectroscopic Techniques for the Detection of Explosives.

Authors:  Wei Zhang; Yue Tang; Anran Shi; Lirong Bao; Yun Shen; Ruiqi Shen; Yinghua Ye
Journal:  Materials (Basel)       Date:  2018-08-06       Impact factor: 3.623

5.  Vapor detection and discrimination with a panel of odorant receptors.

Authors:  Hitoshi Kida; Yosuke Fukutani; Joel D Mainland; Claire A de March; Aashutosh Vihani; Yun Rose Li; Qiuyi Chi; Akemi Toyama; Linda Liu; Masaharu Kameda; Masafumi Yohda; Hiroaki Matsunami
Journal:  Nat Commun       Date:  2018-11-01       Impact factor: 14.919

  5 in total

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