分析化学2013，Vol.41Issue(6)：922-926,5.DOI:10.3724/SP.J.1096.2013.20876
基于近红外技术快速无损分析整粒棉籽中的脂肪酸含量
Rapid and Nondestructive Determination of Fatty acid Contents in Shell-Intact Cottonseed by Near Infrared Spectroscopy
摘要
Abstract
Near infrared (NIR) spectroscopy was applied for the rapid and nondestructive determination of fatty acid contents in shell-intact crop seed.Total 385 samples of cottonseed were used in this experiment.Linear partial least squares (PLS) and nonlinear least-squares support vector machine (LS-SVM) methods with the variables selected by Monte Cario uninformative variables elimination (MC-UVE) method were used to develop the calibration models to predict the content of fatty acid contents.A best prediction performance was obtained by using the MC-UVE-LS-SVM models.The correlation coefficients (R2) of calibration models for palmitic acid,stearic acid,oleic acid,linoleic acid,saturate fatty acids,unsaturated fatty acids were 0.863,0.881,0.843,O.806,0.894 and 0.917,respectively; the residual predictive deviations (RPD)were 2.669,2.880,2.508,2.202,3.023 and 3.473,respectively.The results indicated that NIR technology could be usedl for the rapid quality analysis of shell-intact cottonseed avoiding the need of grinding.Furthermore,the variable selection of MC-UVE could provide more robust and accurate calibration models.关键词
整粒棉籽/近红外/脂肪酸/变量选择/最小二乘支持向量机Key words
Intact cottonseed/Near infrared spectroscopy/Fatty acid/Variable selection/Least-squares support vector machine引用本文复制引用
黄庄荣,沙莎,荣正勤,刘海英,陈进红,祝水金..基于近红外技术快速无损分析整粒棉籽中的脂肪酸含量[J].分析化学,2013,41(6):922-926,5.基金项目
本文系国家973计划项目(No.2010CB126006),转基因生物新品种培育重大专项(No.2013ZX08005-005),国家863项目(No.2011AA10A102,2013AA102601)资助 （No.2010CB126006）
