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Application of FT-IR spectroscopy to assess physiological stress in rugby players during fatigue test
Caetano Júnior, Paulo Cesar; Lemes, Lia Campos; Aguiar, Josafá Carvalho; Strixino, Juliana Ferreira; Raniero, Leandro.
  • Caetano Júnior, Paulo Cesar; Universidade do Vale do Paraíba. Instituto de Pesquisa e Desenvolvimento. São Jose dos Campos. BR
  • Lemes, Lia Campos; Universidade do Vale do Paraíba. Instituto de Pesquisa e Desenvolvimento. São Jose dos Campos. BR
  • Aguiar, Josafá Carvalho; Universidade do Vale do Paraíba. Instituto de Pesquisa e Desenvolvimento. São Jose dos Campos. BR
  • Strixino, Juliana Ferreira; Universidade do Vale do Paraíba. Instituto de Pesquisa e Desenvolvimento. São Jose dos Campos. BR
  • Raniero, Leandro; Universidade do Vale do Paraíba. Instituto de Pesquisa e Desenvolvimento. São Jose dos Campos. BR
Res. Biomed. Eng. (Online) ; 32(2): 123-128, Apr.-June 2016. graf
Article in English | LILACS | ID: biblio-829476
ABSTRACT
AbstractIntroduction: The diagnosis based on salivary biomarkers provides information about the physiological condition. However, the clinical trials used to analyze these biomarkers are relatively expensive and laborious. Thus, the purpose of this study was to identify the physiological stress in players using Fourier transform infrared spectroscopy (FT-IR). Methods Thirteen male rugby players were submitted to the treadmill fatigue test and saliva collections were performed before and immediately after test. The FT-IR spectra of saliva samples were analyzed by the second derivative and cluster analysis. Results From the results of cluster analysis were possible to discriminate the spectra of saliva before and after physical effort using the spectral region between 1490 to 1420 cm–1. Only the saliva spectra from two players were not discriminated in pre-exercise group and post-exercise group, which are in agreement with lowest value of heart rates. Conclusion The second derivative showed differences between the average spectra of saliva samples collected pre and post-test, which explain the spectra discrimination by the cluster analysis using a specific infrared region for the identification of physiological stress.


Full text: Available Index: LILACS (Americas) Language: English Journal: Res. Biomed. Eng. (Online) Journal subject: Engenharia Biom‚dica Year: 2016 Type: Article / Project document Affiliation country: Brazil Institution/Affiliation country: Universidade do Vale do Paraíba/BR

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Full text: Available Index: LILACS (Americas) Language: English Journal: Res. Biomed. Eng. (Online) Journal subject: Engenharia Biom‚dica Year: 2016 Type: Article / Project document Affiliation country: Brazil Institution/Affiliation country: Universidade do Vale do Paraíba/BR