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New approach to application of mid-infrared photoacoustic spectroscopy in forensic analysis: Study with the necrophagous blow fly Chrysomya megacephala (Diptera: Calliphoridae)

Authors :
Aylson D.M.M. Eulalio
William Fernando Antonialli-Junior
Sandro Marcio Lima
Michele C. Paula
L.H.C. Andrade
Kamylla Balbuena Michelutti
Claudia Andrea Lima Cardoso
Angélica Mendonça
Source :
Journal of photochemistry and photobiology. B, Biology. 209
Publication Year :
2020

Abstract

Insects can provide clues in a variety of ways to assist in criminal investigations. The FTIR-PAS technique has been successfully used to assess the cuticular chemical profiles of insect samples from different groups and for several goals. However, until now, it has never been used to evaluate samples of forensic interest, despite providing faster results, compared to the methods currently used. In this study, mid-infrared photoacoustic spectroscopy was employed to assess the cuticular chemical profiles of different stages of development of the blow fly Chrysomya megacephala sampled from two distinct populations. The results showed that this technique enabled detection of significant differences between the main vibrational modes of the chemical bonds present in the cuticles of the two populations and the different stages of development of the fly. The method enables identification of the age of individuals collected at the crime scene, as well as the distinction of different populations. Therefore, this methodology could assist in forensic investigations, in both estimating the Postmortem Interval and determining the location where the crime occurred, or whether the body had suffered some type of translocation. The technique provides high reproducibility and fast analysis, so its application for analysis of C. megacephala is a viable option in forensic crime investigations.

Details

ISSN :
18732682
Volume :
209
Database :
OpenAIRE
Journal :
Journal of photochemistry and photobiology. B, Biology
Accession number :
edsair.doi.dedup.....2ce800035628cf63866116f0e9e23724