• DocumentCode
    2514158
  • Title

    Net Analyte Signal Calculation in Near-Infrared Spectra Calibration

  • Author

    Liu, Weiling ; Liu, Libing ; Yu, Qilian

  • Author_Institution
    Sch. of Mech., Hebei Univ. of Technol., Tianjin, China
  • fYear
    2009
  • fDate
    11-13 June 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, net analyte signal (NAS) calculation was used for near-infrared (NIR) spectra calibration and prediction glucose concentration in urine sample. Near-infrared spectra in the 10000~4000 cm-1 region were measured for human urine glucose with various concentrations at 37degC. The most informative spectral ranges of 4200~4800 cm-1 were selected by principal component analysis (PCA) for glucose in the mixtures. For glucose, the correlation coefficient (R) of 0.9988 and the root mean square error of prediction (RMSEP) of 20.03 mg/dl were obtained by NAS and partial least squares (PLS). The NAS is the part of the spectrum that is directly related to the analyte of interest, and it can be used as a rapid and reliable tool for quantitative analysis of glucose in biological sample.
  • Keywords
    biochemistry; biomedical measurement; blood; calibration; infrared spectra; least mean squares methods; optical correlation; principal component analysis; spectrochemical analysis; PCA; biological sample; correlation coefficient; glucose concentration; human urine glucose measurement; near-infrared spectra calibration; net analyte signal calculation; partial least square method; principal component analysis; quantitative analysis; root mean square error; temperature 37 C; wave number 10000 cm-1 to 4000 cm-1; Atmospheric measurements; Calibration; Functional analysis; Humans; Least squares methods; Pollution measurement; Principal component analysis; Signal analysis; Spectroscopy; Sugar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2901-1
  • Electronic_ISBN
    978-1-4244-2902-8
  • Type

    conf

  • DOI
    10.1109/ICBBE.2009.5163099
  • Filename
    5163099