Literature DB >> 28968523

Raman spectroscopy applied to identify metabolites in urine of physically active subjects.

Letícia Parada Moreira1, Landulfo Silveira2, Alexandre Galvão da Silva3, Adriana Barrinha Fernandes4, Marcos Tadeu Tavares Pacheco5, Débora Dias Ferraretto Moura Rocco6.   

Abstract

Raman spectroscopy is a rapid and non-destructive technique suitable for biological fluids analysis. In this work, dispersive Raman spectroscopy has been employed as a rapid and nondestructive technique to detect the metabolites in urine of physically active subjects before and after vigorous 30min pedaling or running compared to sedentary subjects. For so, urine samples from 9 subjects were obtained before and immediately after physical activities and submitted to Raman spectroscopy (830nm excitation, 250mW laser power, 20s integration time) and compared to urine from 5 sedentary subjects. The Raman spectra of urine from sedentary showed peaks related to urea, creatinine, ketone bodies, phosphate and other nitrogenous compounds. These metabolic biomarkers presented peaks with different intensities in the urine of physically active individuals after exercises compared to before, measured by the intensity of selected peaks the Raman spectra, which means different concentrations after training. These peaks presented different intensity values for each subject before physical activity, also behaving differently compared to the post-training: some subjects presented increase while others decrease the intensity. Raman spectroscopy may allow the development of a rapid and non-destructive test for metabolic evaluation of the physical training in active and trained subjects using urine samples, allowing nutrition adjustment with the sport's performance.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Creatinine; Ketone bodies; Phosphate; Physical exercise; Raman spectroscopy; Urea; Urine metabolites

Mesh:

Substances:

Year:  2017        PMID: 28968523     DOI: 10.1016/j.jphotobiol.2017.09.019

Source DB:  PubMed          Journal:  J Photochem Photobiol B        ISSN: 1011-1344            Impact factor:   6.252


  5 in total

1.  Detecting creatine excreted in the urine of swimming athletes by means of Raman spectroscopy.

Authors:  Letícia Parada Moreira; Débora Dias Ferraretto Moura Rocco; Alexandre Galvão da Silva; Marcos Tadeu Tavares Pacheco; Landulfo Silveira
Journal:  Lasers Med Sci       Date:  2019-07-19       Impact factor: 3.161

2.  Analyzing the serum of hemodialysis patients with end-stage chronic kidney disease by means of the combination of SERS and machine learning.

Authors:  Lyudmila A Bratchenko; Sahar Z Al-Sammarraie; Elena N Tupikova; Daria Y Konovalova; Peter A Lebedev; Valery P Zakharov; Ivan A Bratchenko
Journal:  Biomed Opt Express       Date:  2022-08-24       Impact factor: 3.562

3.  High Uniformity and Enhancement Au@AgNS 3D Substrates for the Diagnosis of Breast Cancer.

Authors:  Zhengxia Yang; Hai-Sheng Su; En-Ming You; Siying Liu; Zihang Li; Yun Zhang
Journal:  ACS Omega       Date:  2022-04-24

4.  Tetrahydrocannabinol Sensing in Complex Biofluid with Portable Raman Spectrometer Using Diatomaceous SERS Substrates.

Authors:  Kundan Sivashanmugan; Yong Zhao; Alan X Wang
Journal:  Biosensors (Basel)       Date:  2019-10-14

5.  Comparison of Surface-Enhanced Raman Scattering Properties of Serum and Urine for the Detection of Chronic Kidney Disease in Patients.

Authors:  Ming Zong; Lan Zhou; Qiunong Guan; Duo Lin; Jianhua Zhao; Hualin Qi; David Harriman; Lieying Fan; Haishan Zeng; Caigan Du
Journal:  Appl Spectrosc       Date:  2020-10-29       Impact factor: 2.388

  5 in total

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