[Application of O-PLS in fundamental study of non-invasive measurement of human blood glucose concentration with near infrared spectroscopy].
Near-infrared diffuse reflectance spectroscopy is a promising approach to the non-invasive prediction of blood glucose levels. However, because the measured object is human body whose physiological structures are so complicated that it is very difficult to separate the information of glucose from the overlapped spectra using the traditional modeling method. A new regression method called orthogonal projections to latent structures (O-PLS), which integrated the orthogonal signal correction (OSC) preprocessing into the regular PLS modeling, was applied to the optimization and interpretation of the glucose near-infrared spectroscopy model. Applying O-PLS resulted in removal of non-correlated variation in spectra and reduced model complexity with preserved prediction ability, improved interpretative ability of variation in spectra.
Lü
Li-Na
LN
State Key Laboratory of Precision Measuring Technology and Instruments, College of Precision Instruments and Opto-Electronics Engineering, Tianjin University 300072, China.
Liu
Rong
R
Zhou
Ding-Wen
DW
D001786:Blood Glucose / Q000032:analysis*; D006801:Humans; D019265:Spectroscopy, Near-Infrared / Q000379:methods*
D001786:Blood Glucose