title: Identification of pure component spectra by independent component analysis in glucose prediction based on mid-infrared spectroscopy.
abstract: We present a method for glucose prediction from mid-IR spectra by independent component analysis (ICA). This method is able to identify pure, or individual, absorption spectra of constituent components from the mixture spectra without a priori knowledge of the mixture. This method was tested with a two-component system consisting of an aqueous solution of both glucose and sucrose, which exhibit distinct but closely overlapped spectra. ICA combined with principal component analysis was able to identify a spectrum for each component, the correct number of components, and the concentrations of the components in the mixture. This method does not need a calibration process and is advantageous in noninvasive glucose monitoring since expensive and time-consuming clinical tests for data calibration are not required.
authors.affiliation: Institute for Gifted Students, Korea Research Institute of Science and Technology, Daejeon, South Korea.
authors.forename: Sangjoon
authors.initials: S
authors.lastname: Hahn
authors.forename: Gilwon
authors.initials: G
authors.lastname: Yoon
mesh_terms: D000465:Algorithms; D015374:Biosensing Techniques / Q000379:methods*; D003198:Computer Simulation; D005947:Glucose / Q000032:analysis*; D008956:Models, Chemical; D025341:Principal Component Analysis; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013055:Spectrophotometry, Infrared / Q000379:methods*
chemical_list: D005947:Glucose