O-PLS在近红外无创人体血糖浓度测量基础研究中的应用  

Application of O-PLS in Fundamental Study of Non-Invasive Measurement of Human Blood Glucose Concentration with Near Infrared Spectroscopy

作　　者：吕丽娜[1] 刘蓉[1] 周定文[1] 

机构地区：[1]天津大学精密测试技术及仪器国家重点实验室

出　　处：《光谱学与光谱分析》2005年第12期1950-1954,共5页Spectroscopy and Spectral Analysis

基　　金：国家自然科学基金(30170261)资助项目

摘　　要：近红外漫反射光谱被认为是无创血糖浓度检测的一种有效方法,但由于被测对象是组织特性复杂 的人体,传统的黑箱建模方法很难从综合的光学信息中分离出糖的变化,从而限制了测量的准确性。文章研 究了集成偏最小二乘建模和正交信号修正预处理方法于一体的回归方法O-PLS对葡萄糖近红外光谱模型的 优化和解释,结果表明O-PLS回归方法能在较大程度上消除无关因素的影响,在简化模型的同时提高了模 型的可解释性。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.

关 键 词：近红外光谱 血糖 OSC O-PLS 

分 类 号：O657.3[理学—分析化学]