Litcius/Paper detail

Profiling Volatilomes: A Novel Forensic Method for Identification of Confiscated Illegal Wildlife Items

Maiken Ueland, Amber O. Brown, Cecilia Bartos, Greta J. Frankham, Rebecca N. Johnson, Shari L. Forbes

2020Separations20 citationsDOIOpen Access PDF

Abstract

Globally, the rapid decline in wildlife species has many causes. The illegal trafficking of fauna and flora is a major contributor to species decline and continues to grow at an alarming rate. To enable the prosecution of those involved in the trafficking of illegal wildlife, accurate and reliable identification is paramount. Traditionally, morphology and DNA amplification are used. This paper investigates a novel application of volatilome profiling using comprehensive two-dimensional gas chromatography coupled with time of flight mass spectrometry for wildlife sample detection. Known samples of elephant-derived ivory, other dentine samples, and bone (a common ivory substitute) were used as reference samples for volatilome profiling. Subsequently, specimens that were suspected ivory from border control seizures were obtained and analysed. Confirmatory DNA analyses were conducted on seized samples to establish the reliability parameters of volatilome profiling. The volatilome method correctly identified six of the eight seized samples as elephant ivory, which was confirmed through DNA analysis. There was also clear distinction of African elephant ivory parts from the bone and dentine samples from other species, as shown through PCA and discriminant analyses. These preliminary results establish volatilome profiling through GC×GC-TOFMS as a novel screening method used for the identification of unknown wildlife contraband.

Topics & Concepts

WildlifeProfiling (computer programming)African elephantForensic identificationDNA profilingMultiplexBiologyWildlife tradeComputer scienceEcologyBioinformaticsDNAOperating systemGeneticsIdentification and Quantification in FoodWildlife Ecology and ConservationYersinia bacterium, plague, ectoparasites research