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ATR-FTIR spectroscopy with chemometric algorithms of multivariate classification in the discrimination between clinical samples Healthy vs Dengue vs Chikungunya vs Zika

Abstract

Dengue, Zika and Chikungunya are arboviruses transmitted by mosquitoes of the genus Aedes. In clinical diagnostic routines, cross reactions between Dengue and Zika may occur because they are viruses of the same family (Flaviviridae), on the other hand, Chikungunya is an Alphavirus. In this study we suggest the use of FTIR spectroscopy in conjunction with PCA-LDA, SPA-LDA and GA-LDA multivariate classification algorithms as a tool sensitive to biochemical variation caused by the presence of different viruses in the blood. We used 45 blood samples from patients diagnosed with Dengue, 33 blood samples from patients diagnosed with Zika, 13 samples from patients diagnosed with Chikungunya and 45 blood samples from people without the presence of these viruses. The objective of the study was to evaluate, mainly, the specificity of the technique in discriminating the blood samples based only on the presence or not of different viruses and to compare with some standard diagnostic methods. The results showed sensitivity and specificity values of 100% for the healthy, dengue and chikungunya classes and values close to 90% for zika, suggesting that spectroscopic techniques have a great potential in detecting the biochemical variations that the presence of the virus causes in the blood, through a fast methodology.

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Publication details

The article was received on 03 Dec 2017, accepted on 02 Jan 2018 and first published on 03 Jan 2018


Article type: Technical Note
DOI: 10.1039/C7AY02784B
Citation: Anal. Methods, 2018, Accepted Manuscript
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    ATR-FTIR spectroscopy with chemometric algorithms of multivariate classification in the discrimination between clinical samples Healthy vs Dengue vs Chikungunya vs Zika

    M. Santos, Y. Nascimento, J. Monteiro, B. Alves, M. Melo, A. Paiva, H. Pereira, L. Medeiros, I. Morais, J. Neto, J. Fernandes, J. Galvão and K. M. G. de Lima, Anal. Methods, 2018, Accepted Manuscript , DOI: 10.1039/C7AY02784B

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