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. 2021 Aug 18;11:16740. doi: 10.1038/s41598-021-95568-5

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© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Detection of SARS-CoV-2 with multivariable analysis. (a) Raw Spectra (b) Sample of 2nd derivative of Savitzky–Golay smoothened spectra of positive and negative samples. (c, d, e) First three latent variables of PLS-DA. (f) Coefficients of variables selected by sparse classification algorithm of second derivative of raw spectra (g, h) Zooms on regions indicated by sparse classification. (i)Projection of the 280 spectra used according to the first two latent variables obtained. (j) Projection of the 280 spectra used according to the first three latent variables obtained.