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
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