全血胆固醇、甘油三酯近红外光谱分析与模型优化  

Near-Infrared Spectroscopic Analysis and Model Optimization on Cholesterol and Triglyceride in Whole Blood

作　　者：黄富荣[1] 罗云瀚[1] 郑仕富[2] 陈哲[1] 

机构地区：[1]暨南大学光电信息与传感技术广东普通高校重点实验室,广东广州510632 [2]暨南大学第一附属医院临床检验中心,广东广州510632

出　　处：《光学学报》2011年第10期267-272,共6页Acta Optica Sinica

基　　金：国家863计划(2009AA04Z315);广东省自然科学青年基金(S2011040001850;8151063201000017);中央高校基本科研业务费专项资金(21611342)资助课题

摘　　要：为验证近红外光谱测量全血中胆固醇和甘油三酯的可行性,采用近红外透射光谱结合化学计量学方法建立胆固醇和甘油三酯定量分析模型。获取全血在近红外全波段800～2500nm范围的透射光谱后,通过采用间隔偏最小二乘法(iPLS)进行特征波段的选择实现对分析模型的优化。经优化后的胆固醇、甘油三酯分析模型的特征吸收波段分别为1650～1730nm和2260～2340nm,预测相关系数分别为0.79和0.865,预测均方根误差分别为0.5mol/kL和0.28mol/kL。研究结果表明近红外光谱技术可用于测量全血胆固醇、甘油三酯的含量,运用间隔偏最小二乘法可确定特征吸收波段和优化分析模型。The quantitative models of cholesterol and triglyceride analysis in whole blood are established by using near-infrared transmission spectroscopy combined with chemo-metrics methods.First the transmission spectra of whole blood in wavelength range of near infrared full spectrum（800~2500 nm） is acquired,and then the calibration models for cholesterol and triglyceride analysis are optimized by using interval partial least squares（iPLS）.The results show that the optimal wave band of calibration models for cholesterol and triglyceride lies 1650~1730 nm and 2260~2340 nm respectively,and the prediction coefficient of optimal analysis model is 0.79 and 0.865 respectively,the root mean square errors of prediction of related prediction model are 0.5 mol/kL and 0.28 mol/kL respectively.The study demonstrates that compared with whole spectra data model,the iPLS model can not only improve precision,but also simplify the model.Near-infrared spectroscopy combined with iPLS can be used successfully to determine the content of cholesterol and triglyceride in whole blood.

关 键 词：近红外光谱术 全血 胆固醇 甘油三酯 间隔偏最小二乘法 

分 类 号：O657.33[理学—分析化学]