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使用血清红外光谱和机器学习算法对查加斯病进行查的新方法

Matthews Martins1, Ângelo Antônio Oliveira Silva2,3, Felipe Silva Santos de Jesus2,3

  • 1Department of Physiological Sciences, Federal University of Espírito Santo, Av. Mal. Campos, 1468-Maruípe, Vitória, Espírito Santo 29047-105, Brazil.

ACS infectious diseases
|August 28, 2025
PubMed
概括

这项研究表明,将富里埃变换红外光谱 (FTIR) 与机器学习 (ML) 结合起来,为查加斯病 (CD) 诊断提供了一个有前途的新方法. 这种方法可以为当前的诊断测试提供一个成本效益高的替代方案,尤其是在资源有限的地区.

关键词:
查加斯病机器学习进行查一个血清光谱学

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Effects of EDTA on End-Point Detection Methods01:18

Effects of EDTA on End-Point Detection Methods

Different methods, such as visual observance of metal-ion indicators, spectroscopic techniques, and potentiometric methods, can determine the endpoint of an EDTA titration.
In the visual method, metal-ion indicators (metallochromic dyes), which have distinct colors in their free and complex forms, are added to the mixture to signal the titration's end point. They form stable complexes with metal ions, but these complexes are weaker than the corresponding metal–EDTA complexes. As a...
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