Adult fly age estimations using cuticular hydrocarbons and Artificial Neural Networks in forensically important Calliphoridae species

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dc.contributor.authorMoore, Hannah E.
dc.contributor.authorButcher, John B.
dc.contributor.authorDay, Charles R.
dc.contributor.authorDrijfhout, Falko P.
dc.date.accessioned2021-01-19T14:43:16Z
dc.date.available2021-01-19T14:43:16Z
dc.date.freetoread2021-01-19
dc.date.issued2017-10-08
dc.description.abstractBlowflies (Diptera: Calliphoridae) are forensically important as they are known to be one of the first to colonise human remains. The larval stage is typically used to assist a forensic entomologists with adult flies rarely used as they are difficult to age because they remain morphologically similar once they have gone through the initial transformation upon hatching. However, being able to age them is of interest and importance within the field. This study examined the cuticular hydrocarbons (CHC) of Diptera: Calliphoridae species Lucilia sericata, Calliphora vicina and Calliphora vomitoria. The CHSs were extracted from the cuticles of adult flies and analysed using Gas Chromatography-Mass Spectrometry (GC-MS). The chemical profiles were examined for the two Calliphora species at intervals of day 1, 5, 10, 20 and 30 and up to day 10 for L. sericata. The results show significant chemical changes occurring between the immature and mature adult flies over the extraction period examined in this study. With the aid of a Principal Component Analysis (PCA) and Artificial Neural Networks (ANN), samples were seen to cluster, allowing for the age to be established within the aforementioned time frames. The use of ANNs allowed for the automatic classification of novel samples with very good performance. This was a proof of concept study, which developed a method allowing to age post-emergence adults by using their chemical profilesen_UK
dc.identifier.citationMoore HE, Butcher JB, Day CR, Drijfhout FP. (2017) Adult fly age estimations using cuticular hydrocarbons and Artificial Neural Networks in forensically important Calliphoridae species. Forensic Science International, Volume 280, November 2017, pp. 33-244en_UK
dc.identifier.cris18783817
dc.identifier.issn0379-0738
dc.identifier.urihttps://doi.org/10.1016/j.forsciint.2017.10.001
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/16201
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectprincipal component analysisen_UK
dc.subjectpost mortem intervalen_UK
dc.subjectcuticular hydrocarbonsen_UK
dc.subjectartificial neural networksen_UK
dc.subjectadult blowfliesen_UK
dc.titleAdult fly age estimations using cuticular hydrocarbons and Artificial Neural Networks in forensically important Calliphoridae speciesen_UK
dc.typeArticleen_UK

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