Feasibility of Canine Detection of Mass Storage Devices: A Study of Volatile Organic Compounds Emanating from Electronic Devices Using Solid Phase Microextraction

DeGreeff, Lauryn E.; Cerreta, Michelle M.; Rispoli, J D Mark

doi:10.1111/1556-4029.13472

Cited by 5 publications

(2 citation statements)

References 15 publications

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“…International Police Forces begun to train search dogs for the retrieval of electronic equipment such as USB sticks, micro SIM cards, mobile phones, DVDs, CD-ROMs, external hard drives, and memory cards. Specialized dog units in this sector are called Electronic Storage Detection Dogs (ESDD) [24]. The ESDD dog is trained to sniff out the chemical component,triphenylphosphine oxide (TPPO), common to most electronic gadgets and storage devices, as a thermal insulator [25].…”

Section: Cadaver Dogs and Human-remains Detection Dogsmentioning

confidence: 99%

Use of Detection Dogs in Forensic Investigations: The Italian Scenario

Ricci¹,

Nittari²,

Campanozzi³

et al. 2021

RJLM

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This paper describes the latest advancements of forensic odorology, a technique that uses canine units to detect forensic evidence at a crime scene. For a long time, dogs' olfaction has been used to find missing persons, dead bodies, and explosive substances. These dog skills have been further de-veloped to identify olfactory fingerprints at crime scenes. Currently, forensic odorology plays an important role in pyromania and arson investigations, computer and electronic material searches, fugitive location, currency, tobacco and weapon recovery, as well as poaching fighting. During the Scent Detection activity, the dog is trained to detect the smell of a previously imprinted substance (substance odor imprinting). When the dog sniffs traces of a specific substance, it focuses on the track and follows itn to identify the odor source. Thus, the dog will reproduce a previously ac-quired behavioral response to signal the handler the presence of the substance. In this review, we touch upon canine forensic odorology, highlight the most innovative forensic activities carried out with dogs, and discuss how these investigative tools can be used in criminal trials.

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Section: Cadaver Dogs and Human-remains Detection Dogsmentioning

confidence: 99%

Use of Detection Dogs in Forensic Investigations: The Italian Scenario

Ricci¹,

Nittari²,

Campanozzi³

et al. 2021

RJLM

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“…In fact, there is greater demand than ever for the use of animals in chemical detection applications such as homeland security, defense [3], healthcare [4,5], agriculture and other fields of human activities [1]. Since the first (to the best of our knowledge) systematic training of dogs for human tracking purposes in 1899 [6], animals have been employed to locate a wide variety of chemical signatures including explosives [7], illegal substances [8], bed bugs [9], and electronics [10], and to diagnose diseases such as tuberculosis [11], cancer [5,12] and Parkinson's [13]. Despite the challenges and expenses associated with training [14], chemical detection by animals remains the gold standard in the field.…”

Section: Introductionmentioning

confidence: 99%

A mouse bio-electronic nose for sensitive and versatile chemical detection

Shor

Herrero-Vidal

Dewan³

et al. 2020

Preprint

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When it comes to simultaneous versatility, speed, and specificity in detecting volatile chemicals, biological olfactory systems far outperform all artificial chemical detection devices. Consequently, the use of trained animals for chemical detection in security, defense, healthcare, agriculture, and other applications has grown astronomically. However, the use of animals in this capacity requires extensive training and behaviorbased communication. Here we propose an alternative strategy, a bio-electronic nose, that capitalizes on the superior capability of the mammalian olfactory system, but bypasses behavioral output by reading olfactory information directly from the brain. We engineered a brain-machine interface that captures neuronal signals from an early stage of olfactory processing in awake mice, and used machine learning techniques to form a sensitive and selective chemical detector. We chronically implanted a grid electrode array on the surface of the mouse olfactory bulb and systematically recorded responses to a large battery of odorants and odorant mixtures across a wide range of concentrations. The bio-electronic nose has a comparable sensitivity to the trained animal and can detect odors on a variable background. We also introduce a novel genetic engineering approach designed to improve the sensitivity of our bio-electronic nose for specific chemical targets. Our bio-electronic nose outperforms current detection methods and unlocks a wide spectrum of civil, medical and environmental applications. where x Iog 10 of the concentration, R min and R max mark minimal and maximal responses, respectively, EC 50 is the concentration at half maximal response, and n is the Hill slope. The parameters were estimated using nonlinear regression. The coefficients were estimated using iterative least square estimation. (Matlab nlinfit). P-values in fig. 4 were calculated using two-tailed t-test (Matlab)

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