Age estimation of Calliphora (Diptera: Calliphoridae) larvae using cuticular hydrocarbon analysis and Artificial Neural Networks

H.E. Moore, J.B. Butcher, C.D. Adam, C.R. Day, F.P. Drijfhout

Research output: Contribution to journalArticle

Abstract

Cuticular hydrocarbons were extracted daily from the larvae of two closely related blowflies Calliphora vicina and Calliphora vomitoria (Diptera: Calliphoridae). The hydrocarbons were then analysed using Gas Chromatography–Mass Spectrometry (GC–MS), with the aim of observing changes within their chemical profiles in order to determine the larval age. The hydrocarbons were examined daily for each species from 1 day old larvae until pupariation. The results show significant chemical changes occurring from the younger larvae to the post-feeding larvae. With the aid of a multivariate statistical method (Principal Component Analysis and Artificial Neural Networks), samples were clustered and classified, allowing for the larval age to be established. Results from this study allowed larvae to be aged to the day with at worst, 87% accuracy, which suggests there is great potential for the use of cuticular hydrocarbons present on larvae to give an indication of their age and hence potentially a valuable tool for minimum PMI estimations.
Original languageEnglish
Pages (from-to)81-91
JournalForensic Science International
Volume268
Early online date20 Sep 2016
DOIs
Publication statusPublished - 1 Nov 2016

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Hydrocarbons
Diptera
Larva
Principal Component Analysis
Spectrum Analysis
Gases

Bibliographical note

© 2016, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

Cite this

Moore, H.E. ; Butcher, J.B. ; Adam, C.D. ; Day, C.R. ; Drijfhout, F.P. / Age estimation of Calliphora (Diptera: Calliphoridae) larvae using cuticular hydrocarbon analysis and Artificial Neural Networks. In: Forensic Science International. 2016 ; Vol. 268. pp. 81-91.
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Age estimation of Calliphora (Diptera: Calliphoridae) larvae using cuticular hydrocarbon analysis and Artificial Neural Networks. / Moore, H.E.; Butcher, J.B.; Adam, C.D.; Day, C.R.; Drijfhout, F.P.

In: Forensic Science International, Vol. 268, 01.11.2016, p. 81-91.

Research output: Contribution to journalArticle

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