Identification of Blood Serum Compound by Decomposition of Raman Spectra by Multivariate Curve Resolution Method

Biological samples of tissues or liquids are a mixture of many different biomolecules, each of which contributes to the Raman scattering spectrum of the sample. Separation and identification of pure biochemical components remains one of the most demanded tasks in Raman spectroscopy. The purpose of this study is to explore the possibility of using the multivariate curve resolution method using the alternating least squares (MCR-ALS) for in vitro analysis of Raman spectra of blood serum samples. As a result of the analysis, spectral profiles of the components included in the studied samples were obtained.

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Published
2024-11-13
DOI
https://doi.org/10.1109/tirved63561.2024.10769839
Primary Topic
Spectroscopy Techniques in Biomedical and Chemical Research
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article
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article

Identification of Blood Serum Compound by Decomposition of Raman Spectra by Multivariate Curve Resolution Method

И. А. Матвеева, Irina A. Pimenova
Spectroscopy Techniques in Biomedical and Chemical Research
article

Identification of Blood Serum Compound by Decomposition of Raman Spectra by Multivariate Curve Resolution Method

И. А. Матвеева, Irina A. Pimenova
article en

Abstract

Biological samples of tissues or liquids are a mixture of many different biomolecules, each of which contributes to the Raman scattering spectrum of the sample. Separation and identification of pure biochemical components remains one of the most demanded tasks in Raman spectroscopy. The purpose of this study is to explore the possibility of using the multivariate curve resolution method using the alternating least squares (MCR-ALS) for in vitro analysis of Raman spectra of blood serum samples. As a result of the analysis, spectral profiles of the components included in the studied samples were obtained.

Samara National Research University (RU)
Openalex Percentile: Top 86%
Spectroscopy Techniques in Biomedical and Chemical Research
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