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Chagas disease vectors identification using visible and near-infrared spectroscopy

机译:Chagas疾病向量使用可见和近红外光谱法识别

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Chagas disease, caused by the parasite Trypanosoma cruzi, is widespread in Latin America, where the disease remains one of the major public health problems. This condition is mostly transmitted by triatomines which are haematophagous insects all their life. With 154 species described in the world, the correct determination of the species involved in the transmission is crucial to develop efficient control strategies. This can be achieved by taxonomic keys (available only for adult stages, nymphal instars must be reared), or by molecular techniques. Both are time and/or money consuming, showing the needs of new identification tools, especially for nymphal instars which are the most frequently found on the field. Visible and near-infrared spectroscopy (VIS-NIR), used successfully these last years in various organisms' determination, was applied on a sample of three species from Bolivia: Triatoma infestans, Triatoma sordida and Triatoma guasayana. The spectrum of the dorsal part of the head from nymphal instars and adult stages was taken for each specimen of each species. Different methods of preprocessing and selection of variables (wavelengths) were tested to find the best model of classification for the three species. Each model was evaluated by different indices: accuracy, specificity, and F1 score. The comparison of the performance of each model evidenced that the best results were obtained when using a short spectrum (400-2000 nm) without pre-processing. A total of 32 components were retained by tuning, and 933 wavelengths were kept by the backward feature selection algorithm. Applying it on a new sample of insects, this model showed a global accuracy of 97.2% (95.0-98.6). The F1 score was greater than 0.95, and the specificity greater than 0.94 for all the species. For the first time, a tool is available to quickly identify and with a high accuracy nymphal instars and adults of triatomines.
机译:由寄生虫冠状瘤Cruzi引起的Chagas疾病,在拉丁美洲普及,疾病仍然是主要的公共卫生问题之一。这种情况主要由三角瘤传播,这是他们的嗜血昆虫。在世界上描述的154种物种,对传输中涉及的物种的正确测定至关重要,以开发有效的控制策略。这可以通过分类键(仅适用于成人阶段,必须饲养Nympher Instars)或通过分子技术来实现。两者都是时间和/或金钱消耗,表明了新的识别工具的需求,特别是对于田间最常见的少女龄。可见和近红外光谱(Vis-nir),在玻利维亚三种种类的样品上应用了近年来的近年来,从玻利维亚的三种样品中应用:Triatoma Infestans,Triatoma Sordida和Triatoma Guasayana。每种物种的每个样本都采取了来自Nymphal Instars和成人阶段的头部的背部的光谱。测试了不同的预处理方法和变量选择(波长)以找到三种物种的最佳分类模型。每个模型由不同的指数评估:准确性,特异性和F1分数。每个模型的性能的比较证明了在没有预处理的情况下使用短频谱(400-2000nm)获得的最佳结果。通过调谐保留总共32个组分,并通过后向特征选择算法保持933个波长。将其应用于新的昆虫样本中,该模型显示全球精度为97.2%(95.0-98.6)。 F1分数大于0.95,所有物种的特异性大于0.94。首次,工具可用于快速识别和具有高精度的三族族龄和成人的Tritiatomines。

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