| Full text | |
| Author(s): |
Saatkamp, Cassiano Junior
[1]
;
de Almeida, Mauricio Liberal
[1]
;
Martins Bispo, Jeyse Aliana
[2]
;
Barbosa Pinheiro, Antonio Luiz
[3, 4]
;
Fernandes, Adriana Barrinha
[3]
;
Silveira, Jr., Landulfo
[3]
Total Authors: 6
|
| Affiliation: | [1] Inst Esperanca Ensino Super IESPES, Rua Coaracy Nunes 3315, BR-68040100 Santarem, Para - Brazil
[2] FIT, Rua Rosa Vermelha 335, BR-68010200 Santarem, Para - Brazil
[3] Univ Camilo Castelo Branco UNICASTELO, Inst Biomed Engn, Parque Tecnol Sao Jose dos Campos, BR-12247016 Sao Jose Dos Campos, SP - Brazil
[4] Fed Univ Bahia UFBA, Ctr Biophoton, Sch Dent, Ave Araujo Pinho 62, BR-40110150 Salvador, BA - Brazil
Total Affiliations: 4
|
| Document type: | Journal article |
| Source: | Journal of Biomedical Optics; v. 21, n. 3 MAR 2016. |
| Web of Science Citations: | 14 |
| Abstract | |
Due to their importance in the regulation of metabolites, the kidneys need continuous monitoring to check for correct functioning, mainly by urea and creatinine urinalysis. This study aimed to develop a model to estimate the concentrations of urea and creatinine in urine by means of Raman spectroscopy (RS) that could be used to diagnose kidney disease. Midstream urine samples were obtained from 54 volunteers with no kidney complaints. Samples were subjected to a standard colorimetric assay of urea and creatinine and submitted to spectroscopic analysis by means of a dispersive Raman spectrometer (830 nm, 350 mW, 30 s). The Raman spectra of urine showed peaks related mainly to urea and creatinine. Partial least squares models were developed using selected Raman bands related to urea and creatinine and the biochemical concentrations in urine measured by the colorimetric method, resulting in r = 0.90 and 0.91 for urea and creatinine, respectively, with root mean square error of cross-validation (RMSEcv) of 312 and 25.2 mg/dL, respectively. RS may become a technique for rapid urinalysis, with concentration errors suitable for population screening aimed at the prevention of renal diseases. (C) 2016 Society of Photo-Optical Instrumentation Engineers (SPIE) (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 |