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. 2022 May 11;17(5):e0265247.
doi: 10.1371/journal.pone.0265247. eCollection 2022.

Spectral homogeneity of human platelets investigated by SERS

Andrey Zyubin  1 , Vladimir Rafalskiy  2 , Mikhail Lopatin  1 , Elizaveta Demishkevich  1   3 , Ekaterina Moiseeva  1 , Karina Matveeva  1 , Igor Kon  1 , Artemii Khankaev  1 , Anna Kundalevich  1   3 , Viktoria Butova  1 , Leonard Lipnevich  1 , Ivan Lyatun  1 , Ilia Samusev  1 , Valery Bryukhanov  1
Affiliations

Spectral homogeneity of human platelets investigated by SERS

Andrey Zyubin et al. PLoS One. .

Abstract

This paper describes a detailed study of the spectral homogeneity of human platelets using Surface-enhanced Raman spectroscopy (SERS). We used a combined approach based on multivariate methods as principal component analysis and pair correlation algorithms to investigate platelets spectral properties. The correlation coefficients for each sample have been calculated, and the average coefficient of determination has been estimated. The high degree of spectral homogeneity inside one probe and between them has been revealed. The prospects of obtained results usage for pathologies based on platelet conformations during cardiovascular diseases have been demonstrated.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. SEM images of the SERS surface in “grating’ geometry on the titanium plate.
20 μm scale (a) with Au NPs and 1 μm scale (b), 200 nm scale (b, inset) with Au NPs. 1a (inset) illustrates results for spectral ellipsometry experiments for Ti/Au surface.
Fig 2
Fig 2. FDTD modeling SERS substrate.
FDTD model area with “grating” surface geometry (a) and electric field strength distribution (b).
Fig 3
Fig 3. Image of a platelet mass.
100x optical image of the platelet mass, deposited on Ti/Au surface.
Fig 4
Fig 4. Principal scheme of statistical analysis.
Fig 5
Fig 5. PCA of Raman dataset.
Raman spectral dataset (a) and PCA 3D plot of platelets set (b).
Fig 6
Fig 6. Variances of Raman dataset.
Cumulative variance of Raman dataset (a) and Percent variance value (b).
Fig 7
Fig 7. Mahalanobis distance distribution for Raman spectral set.
Fig 8
Fig 8. Preprocessing of Raman dataset.
Spectral set for the one probe of healthy volunteer before preprocessing (a) and after it (b).
Fig 9
Fig 9. Example of interpolated spectra.
Fig 10
Fig 10. Raman spectra pair linear spectral correlation inside one sample.
Fig 11
Fig 11. The distribution of values.
A histogram (a) and a boxplot (b).
Fig 12
Fig 12. Raman spectra pair linear spectral correlation between samples.
Fig 13
Fig 13. The distribution of values.
A histogram (a) and a boxplot (b).
See this image and copyright information in PMC

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