Evaluation of canine training aids containment for homemade explosive and components by headspace analysis and canine testing.
Christopher J KatilieLauryn E DeGreeffCaitlin E SharpesEric M BestPatricia E BuckleyJenna D GadberryMichele N MaughanPublished in: Journal of forensic sciences (2023)
While canines are most commonly trained to detect traditional explosives, such as nitroaromatics and smokeless powders, homemade explosives (HMEs), such as fuel-oxidizer mixtures, are arguably a greater threat. As such, it is imperative that canines are sufficiently trained in the detection of such HMEs. The training aid delivery device (TADD) is a primary containment device that has been used to house HMEs and HME components for canine detection training purposes. This research assesses the odor release from HME components, ammonium nitrate (AN), urea nitrate (UN), and potassium chlorate (PC), housed in TADDs. Canine odor recognition tests (ORTs) were used with analytical data to determine the detectability of TADDs containing AN, UN, or PC. Headspace analysis by gas chromatography/mass spectrometry (GC/MS) with solid-phase microextraction (SPME) or online cryotrapping were used to measure ammonia or chlorine, as well as other unwanted odorants, emanating from bulk AN, UN, and PC in TADDs over 28 weeks. The analytical data showed variation in the amount of ammonia and chlorine over time, with ammonia from AN and UN decreasing slowly over time and the abundance of chlorine from PC TADDs dependent on the frequency of exposure to ambient air. Even with these variations in odor abundance, canines previously trained to detect bulk explosive HME components were able to detect all three targets in glass and plastic TADDs for at least 18 months after loading. Detection proficiency ranged from 64% to 100% and was not found to be dependent on either age of material.
Keyphrases
- gas chromatography mass spectrometry
- drinking water
- loop mediated isothermal amplification
- nitric oxide
- gas chromatography
- real time pcr
- resistance training
- label free
- virtual reality
- electronic health record
- room temperature
- anaerobic digestion
- ionic liquid
- solid phase extraction
- big data
- healthcare
- liquid chromatography
- antibiotic resistance genes
- mass spectrometry
- high intensity
- quantum dots
- preterm birth
- sensitive detection
- deep learning
- gestational age