食品工业科技2012，Vol.33Issue(4)：89-91,96,4.
基于连续投影算法的油菜蜜近红外光谱真伪鉴别的研究
Authenticity of Brassica honey based on liner successive project algorithm and near infrared spectroscopy
摘要
Abstract
Near infrared spectroscopy combined with chemometrics methods were used to detect Brassica honey samples.For this purpose,successive project algorithm（SPA） was employed to choose thirty-three spectral variables,which were used as input of liner discriminative analysis（LDA） model.For comparison,principal components analysis（PCA） was used to compress the high-dimensional data.Quadratic discriminative analysis（QDA） and soft independent modeling of class analogy（SIMCA） were also employed to classify authentic and adulterated honey.The classification accuracy rates of SPA-LDA,PCA-LDA,SPA-QDA,and SIMCA were 97.7%,93.2%,90.9% and 95.4%,respectively.The area under receiver operation characteristic（ROC） curves of the above mentioned four methods could reach 0.964,0.912,0.933,and 0.948,respectively.The performance of SPA-LDA was better than other three methods.The results showed that SPA-LDA could be a useful means for detect adulterated honey owning to its rapid,accuracy,and generalization.关键词
油菜蜜/近红外光谱/真伪鉴别/连续投影算法/线性识别分析Key words
Brassica honey/near infrared spectroscopy/authenticity/successive project algorithm（SPA）/liner discriminative analysis（LDA）分类
轻工纺织引用本文复制引用
李水芳,单杨,尹永,周孜..基于连续投影算法的油菜蜜近红外光谱真伪鉴别的研究[J].食品工业科技,2012,33(4):89-91,96,4.基金项目
国家科技支撑计划项目 （）
