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.
© 2006 Optical Society of America
Full Article | PDF ArticleMore Like This
Yoen-Joo Kim, Sangjoon Hahn, and Gilwon Yoon
Appl. Opt. 42(4) 745-749 (2003)
Xian Li, D. B. Hou, P. J. Huang, J. H. Cai, and G. X. Zhang
Appl. Opt. 54(30) 8925-8934 (2015)
Ying Li, Tian-Yao Zhang, Zhao-Hui Zhang, Jian-Feng Yan, Xuan Zhao, Xiao-Yan Zhao, Xing-Yue Li, Xian-Hao Wu, Lu Yin, Yuan Yuan, and Jian-Mei Guo
Appl. Opt. 62(5) 1167-1174 (2023)