Salivary detection of zika virus infection using atr-ftir spectroscopy coupled with machine learning algorithms and univariate analysis: a proof-of-concept animal study

HIGHLIGHTS

• who: Stephanie Wutke Oliveira and collaborators from the Institute of Biomedical Sciences, Federal University of Uberlandia, Uberlandia, Brazil have published the research work: Salivary Detection of Zika Virus Infection Using ATR-FTIR Spectroscopy Coupled with Machine Learning Algorithms and Univariate Analysis: A Proof-of-Concept Animal Study, in the Journal: Diagnostics 2023, 1443 of /2023/
• what: The authors tested the hypothesis that unique spectral salivary biomarkers can be differentially expressed in the saliva of ZIKV-infected mice, and the authors explored how potential vibrational modes can be used as salivary biomarkers for ZIKV detection.
 



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