Advanced search
Start date
Betweenand
(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

nalytical performance of Raman spectroscopy in assaying biochemical components in human seru

Full text
Author(s):
Giansante, Stella [1] ; Giana, Hector Enrique [2] ; Fernandes, Adriana Barrinha [1] ; Silveira, Jr., Landulfo [1]
Total Authors: 4
Affiliation:
[1] Univ Anhembi Morumbi UAM, Ctr Innovat Technol & Educ CITE, Parque Tecnol Sao Jose dos Campos, BR-12247016 Sao Jose Dos Campos, SP - Brazil
[2] Lab Clin Anal Oswaldo Cruz, BR-12243003 Sao Jose Dos Campos, SP - Brazil
Total Affiliations: 2
Document type: Journal article
Source: Lasers in Medical Science; v. 37, n. 1, p. 287-298, FEB 2022.
Web of Science Citations: 2
Abstract

Chronic non-infectious diseases are important to research as they are the main causes of death in Brazil and worldwide. One very important chronic non-infectious disease is cardiovascular disease, whose risk factors (diabetes, dyslipidemia, and renal failure) can be detected through assessments of serum biochemical components. The objective of this study was to evaluate the analytical performance of Raman spectroscopy for analysis of lipid profile (total cholesterol, triglycerides, and HDL cholesterol), non-protein nitrogenous compounds (urea and creatinine), and glucose in 242 human serum samples. Models to discriminate and quantify the samples were developed using the predicted concentration by quantitative regression model based on partial least squares (PLS). The analytical error for the ``leave-one-out{''} cross-validation based on the predicted PLS concentration was 10.5 mg/dL for total cholesterol, 21.4 mg/dL for triglyceride, 13.0 mg/dL for HDL cholesterol, 4.9 mg/dL for urea, 0.21 mg/dL for creatinine, and 15.4 mg/dL for glucose. The Kappa coefficient indicate very good agreement for cholesterol (0.83), good for triglyceride (0.77), urea (0.70) and creatinine (0.66), and fair for HDL cholesterol (0.38) and glucose (0.30). The results of the analytical performance demonstrated that Raman spectroscopy can be considered an important methodology to screen the population, especially for serum triglycerides and cholesterol. (AU)

FAPESP's process: 09/01788-5 - Dispersive Raman spectroscopy using optical fibers "Raman probe" applied to the diagnosis of neoplasia in the skin and prostate
Grantee:Landulfo Silveira Junior
Support Opportunities: Regular Research Grants