Spectral homogeneity of human platelets investigated by SERS
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 propertie...
Main Authors: | , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2022-01-01
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Series: | PLoS ONE |
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9094501/?tool=EBI |
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author | Andrey Zyubin Vladimir Rafalskiy Mikhail Lopatin Elizaveta Demishkevich Ekaterina Moiseeva Karina Matveeva Igor Kon Artemii Khankaev Anna Kundalevich Viktoria Butova Leonard Lipnevich Ivan Lyatun Ilia Samusev Valery Bryukhanov |
author_facet | Andrey Zyubin Vladimir Rafalskiy Mikhail Lopatin Elizaveta Demishkevich Ekaterina Moiseeva Karina Matveeva Igor Kon Artemii Khankaev Anna Kundalevich Viktoria Butova Leonard Lipnevich Ivan Lyatun Ilia Samusev Valery Bryukhanov |
author_sort | Andrey Zyubin |
collection | DOAJ |
description | 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. |
first_indexed | 2024-12-12T05:21:49Z |
format | Article |
id | doaj.art-c2fdb705de9841b988cdda9e40f7d02d |
institution | Directory Open Access Journal |
issn | 1932-6203 |
language | English |
last_indexed | 2024-12-12T05:21:49Z |
publishDate | 2022-01-01 |
publisher | Public Library of Science (PLoS) |
record_format | Article |
series | PLoS ONE |
spelling | doaj.art-c2fdb705de9841b988cdda9e40f7d02d2022-12-22T00:36:36ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-01175Spectral homogeneity of human platelets investigated by SERSAndrey ZyubinVladimir RafalskiyMikhail LopatinElizaveta DemishkevichEkaterina MoiseevaKarina MatveevaIgor KonArtemii KhankaevAnna KundalevichViktoria ButovaLeonard LipnevichIvan LyatunIlia SamusevValery BryukhanovThis 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.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9094501/?tool=EBI |
spellingShingle | Andrey Zyubin Vladimir Rafalskiy Mikhail Lopatin Elizaveta Demishkevich Ekaterina Moiseeva Karina Matveeva Igor Kon Artemii Khankaev Anna Kundalevich Viktoria Butova Leonard Lipnevich Ivan Lyatun Ilia Samusev Valery Bryukhanov Spectral homogeneity of human platelets investigated by SERS PLoS ONE |
title | Spectral homogeneity of human platelets investigated by SERS |
title_full | Spectral homogeneity of human platelets investigated by SERS |
title_fullStr | Spectral homogeneity of human platelets investigated by SERS |
title_full_unstemmed | Spectral homogeneity of human platelets investigated by SERS |
title_short | Spectral homogeneity of human platelets investigated by SERS |
title_sort | spectral homogeneity of human platelets investigated by sers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9094501/?tool=EBI |
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