摘要
为了建立血清样品胆固醇、甘油三酯近红外分析最优模型,利用近红外透射光谱技术结合间隔偏最小二乘法(iPLS)建立预测模型。结果表明,胆固醇最优建模波段是1700—1798nm,最优预测模型的相关系数Rp、预测均方差RMSEP分别为0.984、0.198mmol/L;甘油三酯最优建模波段是1654-1746nm,最优预测模型的Rp、RMSEP分别为0.967、0.157mmol/L。采用iPLS建立血清胆固醇、甘油三酯定量分析模型,不仅可以提高模型的预测精度,而且模型更加简洁、数据运算量也更少,优选出的特征谱区还可为设计小型专用近红外分析仪器提供依据。
The prediction model was established by near infrared transmission spectrum combined with partial least squares interval（iPLS） to establish the near infrared analytical optimized model for cholesterol and triglyceride in serum.The optimal band for prediction the cholesterol was 1700—1798nm,and the prediction coefficient（Rp）and the root mean square error of prediction（RMSEP） of the optimized prediction model were 0.984 and 0.198mmol/L,respectively,and the optimal band for prediction the triglyceride was 1654—1746nm,and the prediction coefficient（Rp） of 0.967 with the root mean square error of prediction（RMSEP）of 0.157mmol/L.The iPLS model for establishment of analysis model of cholesterol and triglyceride in serum could not only improve precision,but also simplify the model.Optimized wave band selection will provide base for designing minitype special near infrared content analyzer.
出处
《光谱实验室》
CAS
CSCD
北大核心
2011年第6期2774-2778,共5页
Chinese Journal of Spectroscopy Laboratory
基金
国家青年基金(50903038)
广东省科技计划项目(2007B030501008)
广东省自然科学基金(32208005)
关键词
近红外光谱
胆固醇
甘油三酯
间隔偏最小二乘法
波段优选
Near Infrared Spectrum
Cholesterol
Triglyceride
Interval Partial Least Squares
Optimum Wave Band Selection
