• DocumentCode
    3084051
  • Title

    Wavenumbers Selection for FTIR/ATR Spectroscopy Analysis of Hemoglobin in Human Whole Blood

  • Author

    Yin, Hao ; Pan, Tao ; Xie, Jun ; Chen, Jiemei ; Chen, Huazhou ; Wei, Xiangcai ; Tian, Peiling ; Wang, Baixian

  • Author_Institution
    Dept. of Optoelectron. Eng., Jinan Univ., Guangzhou, China
  • fYear
    2010
  • fDate
    18-20 June 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The directly rapid determination method and the optimal analysis model of hemoglobin (HGB) in human whole blood were established by using the Fourier transform infrared spectroscopy (FTIR) and attenuated total reflection (ATR) technology. Based on the prediction effect of single wavenumber linear regression model, a wavenumbers selection method of FTIR/ATR spectroscopy analysis was developed. 20 single wavenumber models which good prediction effect and the corresponding wavenumbers were selected. All wavenumber combinations of the twenty wavenumbers were used to establish multiple linear regression (MLR) models respectively. The optimal model was selected according to the prediction effect. The optimal MLR model was the eight wavenumbers combination of 2860, 2853, 2818, 1547, 1531, 1400, 1393, 1389 (cm-1), the corresponding root mean squared error of predication (RMSEP), correlation coefficient of predication (RP) and relative root mean squared error of predication (RRMSEP) were 6.63 g/L, 0.827, and 4.92% respectively. And the prediction effect was obvious better than one of partial least squares (PLS) model. These indicated that the wavenumbers selection method based on prediction effect of single wavenumber linear regression model could be applied to the FTIR/ATR spectroscopy analysis of hemoglobin in human whole blood.
  • Keywords
    Fourier transform spectra; attenuated total reflection; biomedical optical imaging; blood; infrared spectra; proteins; FTIR-ATR spectroscopy analysis; attenuated total reflection technology; hemoglobin; human whole blood; multiple linear regression models; partial least squares model; root mean squared error; single wavenumber linear regression model; wavenumbers selection method; Biological system modeling; Blood; Fourier transforms; Humans; Infrared spectra; Instruments; Least squares methods; Linear regression; Predictive models; Spectroscopy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
  • Conference_Location
    Chengdu
  • ISSN
    2151-7614
  • Print_ISBN
    978-1-4244-4712-1
  • Electronic_ISBN
    2151-7614
  • Type

    conf

  • DOI
    10.1109/ICBBE.2010.5514678
  • Filename
    5514678