A novel use of infra-red spectroscopy (NIRS and ATR-FTIR) coupled with variable selection algorithms for the identification of insect species (Diptera: Sarcophagidae) of medico-legal relevance

Barbosa, Taciano Moura; Lima, Leomir A.S. de; Santos, Marfran C. D.; Vasconcelos, Simão Dias; Gama, Renata Antonaci; Lima, Kássio M. G.

doi:10.1016/j.actatropica.2018.04.025

Cited by 31 publications

(24 citation statements)

References 43 publications

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“…Pathogen infection is known to alter mosquito physiology and could directly or indirectly modify their cuticular composition. For example, in the dengue and Zika vector Aedes aegypti mosquitoes, an infrared spectroscopy method has recently been developed to detect Zika virus 47 , the bacterial endosymbiont Wolbachia 52, 67 , and malaria infection in mosquitoes 41, 74 .…”

Section: Discussionmentioning

confidence: 99%

“…In particular, near-infrared spectroscopy (NIRS) has been evaluated as a general strategy for examining insects since it does not require reagents and holds promise as a fast, practical, non-destructive, and cost-effective method for entomological surveillance. The results obtained to date have proved that the chemical composition of mosquitoes and other insects not only changes between species 39– 41 , also across different age 40, 42– 45 , according to resistance to insecticides 46 and in the presence of an infectious agent 47, 48 . While promising, the NIRS typical approach has certain drawbacks.…”

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confidence: 88%

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Prediction of mosquito species and population age structure using mid-infrared spectroscopy and supervised machine learning

et al. 2019

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Despite the global efforts made in the fight against malaria, the disease is resurging. One of the main causes is the resistance that Anopheles mosquitoes, vectors of the disease, have developed to insecticides. Anopheles must survive for at least 10 days to possibly transmit malaria. Therefore, to evaluate and improve malaria vector control interventions, it is imperative to monitor and accurately estimate the age distribution of mosquito populations as well as their population sizes. Here, we demonstrate a machine-learning based approach that uses mid-infrared spectra of mosquitoes to characterise simultaneously both age and species identity of females of the African malaria vector species Anopheles gambiae and An. arabiensis, using laboratory colonies. Mid-infrared spectroscopy-based prediction of mosquito age structures was statistically indistinguishable from true modelled distributions. The accuracy of classifying mosquitoes by species was 82.6%. The method has a negligible cost per mosquito, does not require highly trained personnel, is rapid, and so can be easily applied in both laboratory and field settings. Our results indicate this method is a promising alternative to current mosquito species and age-grading approaches, with further improvements to accuracy and expansion for use with wild mosquito vectors possible through collection of larger mid-infrared spectroscopy data sets.

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Section: Discussionmentioning

confidence: 99%

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confidence: 88%

Prediction of mosquito species and population age structure using mid-infrared spectroscopy and supervised machine learning

et al. 2019

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“…A combination of mid‐infrared and NIR spectroscopy has been used for the identification of forensically important fly larvae (Barbosa et al, ). Six species were included in the study: Oxysarcodexia timida (Aldrich), Oxysarcodexia thornax (Walker), Peckia chrysostoma (Wiedemann), Peckia lambens (Wiedemann), Ravinia belforti (Prado & Fonseca) and Tricharaea occidua (F.), with ten male specimens analysed from each species.…”

Section: Diptera (Flies)mentioning

confidence: 99%

Near‐infrared spectroscopy (NIRS) for taxonomic entomology: A brief review

Johnson

2020

J Applied Entomology

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For over two decades, near‐infrared spectroscopy (NIRS) has been applied to a wide spectrum of problems in the field of insect taxonomy. It provides a rapid, non‐destructive and relatively cheap method of metabolomic profiling, which can often be used to discriminate closely related species in the same genus. Furthermore, very little training or entomological knowledge is required to operate the instrument. However, a taxonomist is still required to ensure accurate identification of samples used for NIRS model creation and validation. To date, most research has focused on species of economic or epidemiological importance, such as mosquitoes, flies or stored product pests. However, an increasing number of studies are applying NIRS for entomological research with a purely “academic” purpose. As research continues in this field, NIRS has the potential to become more widely accepted in entomology, allowing for the rapid metabolomic profiling of thousands of species.

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“…Metody te mogą być równie swoiste jak barcoding, a przy tym eliminują konieczność stosowania kosztownych i czasochłonnych technik na bazie DNA [103]. W niedawnym badaniu okazały się one przydatne przy identyfikacji gatunków należących do rodziny Sarcophagidae [104].…”

Section: Chemical Identification (Fingerprinting)unclassified

“…Thus, it can be as specific as barcoding, without the need for expensive and time-consuming DNA techniques [103]. Recent study revealed that the use of NIRS, ATR, FTIR helped in identification of insect species belong to Sarcophagidae [104].…”

Section: Metody Morfologicznementioning

confidence: 99%

Applications of forensic entomology: overview and update

Aly

Aldeyarbi

2020

amsik

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Streszczenie Mimo ogromnych postępów w badaniach podstawowych i stosowanych entomologia sądowa stale się rozwija i jest uznawana za interdyscyplinarną dziedzinę wiedzy. W zestawieniu z innymi naukami prawnymi i biologicznymi publikacje z zakresu entomologii sądowej są jednak stosunkowo skromne, podobnie jak liczba entomologów sądowych. Głównym celem niniejszej pracy jest przedstawienie znaczenia entomologii sądowej przez omówienie jej zastosowań, czynności podejmowane przez entomologów mogą bowiem dostarczać istotnych informacji dotyczących czasu, miejsca i przyczyny śmierci, ułatwiać identyfikację sprawców i/lub ofiar przestępstwa, a w niektórych przypadkach także określać stan zaniedbania ofiar przed śmiercią. W pracy omówiono też możliwość wykorzystywania zdobyczy najnowocześniejszych technologii. Interdyscyplinarność prac badawczych umożliwi dalsze zgłębianie tej dziedziny, przyczyniając się do wytyczania nowych obszarów badań z korzyścią dla rozwoju nauki oraz zastosowań kryminalistycznych.

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A novel use of infra-red spectroscopy (NIRS and ATR-FTIR) coupled with variable selection algorithms for the identification of insect species (Diptera: Sarcophagidae) of medico-legal relevance

Cited by 31 publications

References 43 publications

Prediction of mosquito species and population age structure using mid-infrared spectroscopy and supervised machine learning

Prediction of mosquito species and population age structure using mid-infrared spectroscopy and supervised machine learning

Near‐infrared spectroscopy (NIRS) for taxonomic entomology: A brief review

Applications of forensic entomology: overview and update

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