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Intraspecific differentiation of sandflies specimens by optical spectroscopy and multivariate analysis
Journal of Biophotonics ( IF 2.0 ) Pub Date : 2021-01-02 , DOI: 10.1002/jbio.202000412
Aline E Casaril 1 , Carlos G Santos 2 , Bruno S Marangoni 2 , Sandro M Lima 3 , Luis H C Andrade 3 , Wagner S Fernandes 1 , Jucelei O M Infran 1 , Natália O Alves 1 , Moacir D G L Borges 1 , Cicero Cena 2 , Alessandra G Oliveira 1
Affiliation  

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.image

中文翻译:

沙棘标本的种内分化的光谱学和多元分析

长须罗蛉LutzomyiaLutzomyia锥虫是参与的发送主白蛉物种婴儿利什曼原虫在巴西原生动物。形态特征可用于雄性标本的物种鉴定,而雌性则无法区分。尽管沙蝇的鉴定对于理解载体的能力以及对传染性物质或杀虫剂的敏感性是必不可少的,但仍缺乏新的标本鉴定策略。在这项研究中,傅里叶变换红外光声光谱结合多变量分析确定了Lutzomyia之间的种内差异。人口。通过主成分分析成功地实现了群体聚类。观察到的主要差异可能与标本的蛋白质含量有关。使用机器学习方法获得了100%准确性的分类,从而可以识别沙蝇标本。图像
更新日期:2021-01-02
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