Intraspecific differentiation of sandflies specimens by optical spectroscopy and multivariate analysis |
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| Authors: | Aline E. Casaril Carlos G. Santos Bruno S. Marangoni Sandro M. Lima Luis H. C. Andrade Wagner S. Fernandes Jucelei O. M. Infran Natália O. Alves Moacir D. G. L. Borges Cicero Cena Alessandra G. Oliveira |
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| Affiliation: | 1. Programa de Pós-Graduação em Doenças Infecciosas e Parasitárias, Faculdade de Medicina, UFMS – Universidade Federal de Mato Grosso do Sul, Campo Grande, Brazil;2. Grupo de Ótica e Fotônica, Instituto de Física, UFMS – Universidade Federal de Mato Grosso do Sul, Campo Grande, Brazil;3. Grupo de Espectroscopia Óptica e Fototérmica-GEOF, Centro de Estudos em Recursos Naturais- CERNA, Universidade Estadual de Mato Grosso do Sul-UEMS, Dourados, Brazil |
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| Abstract: | Lutzomyia longipalpis and Lutzomyia cruzi are the main sandflies species involved in the transmission of Leishmania infantum protozoan in Brazil. The morphological characteristics can be used for species identification of males specimens, while females are indistinguishable. Although, sandflies identification is essential to understand vectorial capacity, and susceptibility to infectious agents or insecticides, there is a lack of new strategies for specimen identification. In this study, Fourier transform infrared photoacoustic spectroscopy combined with multivariate analysis identified intraspecific differences between Lutzomyia populations. Successfully group clustering was achieved by principal component analysis. The main differences observed can be related to the protein content of the specimens. A classification with 100% accuracy was obtained using machine learning approach, allowing the identification of sandflies specimens. |
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| Keywords: | classification infrared spectroscopy Lutzomyia sp. machine learning multivariate analysis |
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