Artificial neural network analysis of hydrocarbon profiles for the ageing of Lucilia sericata for post mortem interval estimation

Butcher, John B.; Moore, Hannah E.; Day, Charles; Adam, Craig D.; Drijfhout, Falko P.

doi:10.1016/j.forsciint.2013.06.018

Cited by 16 publications

(22 citation statements)

References 32 publications

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“…A number of studies show that the CHC profiles vary according to the age and sex of the insects [17,21,23,24,27,29-43]. These differences may be related to female attractiveness to males and play key roles in reproduction in some species [29,31].…”

Section: Introductionmentioning

confidence: 99%

Effect of age on cuticular hydrocarbon profiles in adult Chrysomya putoria (Diptera: Calliphoridae)

Braga

Pinto

Queiroz

et al. 2016

Forensic Science International

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A species-specific complex mixture of highly stable cuticular hydrocarbons (CHCs) covers the external surface of all insects. Components can be readily analyzed by gas chromatography coupled to mass spectrometry (GC-MS) to obtain a cuticular hydrocarbon profile, which may be used as an additional tool for the taxonomic differentiation of insect species and also for the determination of the age and sex of adult and immature forms. We used GC-MS to identify and quantify the CHCs of female and male Chrysomya putoria (Wiedemann, 1818) (Diptera: Calliphoridae) from one to five days old. CHCs ranged from C21 to C35 for females and from C21 to C37 in males. Major compounds were the same for both sexes and were 2-MeC28, C29:1, n-C29, 15-,13-MeC29, 2-MeC30, C31:1, n-C31 and 15-,13-MeC31. The relative abundance of each component, however, varied with age. Cluster Analysis using Bray-Curtis measure for abundance showed that cuticular hydrocarbon profiles are a strong and useful tool for the determination of age in adult C. putoria.

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Section: Introductionmentioning

confidence: 99%

Effect of age on cuticular hydrocarbon profiles in adult Chrysomya putoria (Diptera: Calliphoridae)

Braga

Pinto

Queiroz

et al. 2016

Forensic Science International

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“…This was shown in a previous study 71 where the classification of hydrocarbon data collected from Lucilia sericata pupae was classified 72 using a SOM providing classification accuracy that exceeded 89% [16]. 73 The novelty of this study is to examine the CHC profiles of the larvae from two forensically …”

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confidence: 80%

“…32 CHCs are found in the lipid wax layer of nearly all insects. They have different functions in 33 different species of insects and previous studies have shown their use for age estimation [1,[13][14][15][16], 34 sex [17] and species identification [18][19][20]. 35 The two main factors believed to be influential for the composition of hydrocarbon pools are 36 development/genetic factors and physiological state/environmental conditions [21][22][23].…”

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confidence: 99%

“…The same training and testing approach reported in [16] is used in the current study to 132 automatically classify the larvae of both Calliphora vicina and Calliphora vomitoria, 133 where readers are referred to for further details. Briefly, the data was preprocessed using 134 PCA to reduce the dimensionality of the data, with six principal components that contained Training was performed using 10-fold cross-validation and an average and standard 147 deviation across the ten folds calculated.…”

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confidence: 99%

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

Moore

Butcher

Adam

et al. 2016

Forensic Science International

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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.

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“…Studies on forensically important blowflies have also proven to show great potential but these investigations are mainly presenting cuticular changes over time in relation to larvae 4, 20, 21 , with only two studies being published on trying to establish age related changes from the cuticular hydrocarbons 1, 2 . This is the first study to establish the age of empty puparial cases from two forensically important blowflies in Europe using CHCs analysed on Gas Chromatography-Mass Spectrometry (GC-MS), non-metric multidimensional scaling analysis (NMDS) and permutational multivariate analysis of variance (PERMANOVA).…”

Section: Introductionmentioning

confidence: 99%

The potential use of cuticular hydrocarbons and multivariate analysis to age empty puparial cases of Calliphora vicina and Lucilia sericata

Moore

Pechal

Benbow

et al. 2017

Sci Rep

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Cuticular hydrocarbons (CHC) have been successfully used in the field of forensic entomology for identifying and ageing forensically important blowfly species, primarily in the larval stages. However in older scenes where all other entomological evidence is no longer present, Calliphoridae puparial cases can often be all that remains and therefore being able to establish the age could give an indication of the PMI. This paper examined the CHCs present in the lipid wax layer of insects, to determine the age of the cases over a period of nine months. The two forensically important species examined were Calliphora vicina and Lucilia sericata. The hydrocarbons were chemically extracted and analysed using Gas Chromatography – Mass Spectrometry. Statistical analysis was then applied in the form of non-metric multidimensional scaling analysis (NMDS), permutational multivariate analysis of variance (PERMANOVA) and random forest models. This study was successful in determining age differences within the empty cases, which to date, has not been establish by any other technique.

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Artificial neural network analysis of hydrocarbon profiles for the ageing of Lucilia sericata for post mortem interval estimation

Cited by 16 publications

References 32 publications

Effect of age on cuticular hydrocarbon profiles in adult Chrysomya putoria (Diptera: Calliphoridae)

Effect of age on cuticular hydrocarbon profiles in adult Chrysomya putoria (Diptera: Calliphoridae)

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

The potential use of cuticular hydrocarbons and multivariate analysis to age empty puparial cases of Calliphora vicina and Lucilia sericata

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