摘要
为了建立食用油必需脂肪酸快速检测的方法,该研究提出了基于近红外光谱技术检测食用油中α-亚麻酸和亚油酸含量的快速测定方法。对光谱信息分别采用偏最小二乘回归方法(PLS)和最小二乘支持向量机(LS-SVM)建立模型。比较了多种光谱预处理方法对模型预测能力的影响。结果表明对于亚油酸含量的预测,采用Savitzky-Golay平滑法结合多元散射校正(MSC)的光谱预处理所建立的LS-SVM模型最优。预测集的决定系数(R2)、预测均方根误差(RMSEP)和剩余预测偏差(RPD)分别达到了0.989,0.0161和9.4783。对于α-亚麻酸含量的预测,采用Savitzky-Golay平滑法结合标准正态变换(SNV)的光谱预处理所建立的LS-SVM模型最优。α-亚麻酸含量预测结果的R2、RMSEP和RPD为0.972,0.0036和6.0561,据此表明,应用近红外光谱技术能够检测食用油中α-亚麻酸和亚油酸的含量,为快速检测食用油的必需脂肪酸提供了参考。
In order to find out a fast quantitative determination method for the essential fatty acids in edible oils,near infrared spectroscopy was applied in determination of the contents ofα-linolenic acid and linoleic acid.The chemometrics models between near infrared spectra and the contents ofα-linolenic acid and linoleic acid were established by partial least squares regression(PLS)and least-squares support vector machine(LS-SVM).Several common used spectral pretreatment methods were used to establish different PLS and LS-SVM models.For linoleic acid prediction,best predictive performance was obtained using LS-SVM model and spectral pretreatment of Savitzky-Golay smoothing and multiplicative scatter correction(MSC).Coefficient of determination(Rp 2),root mean square error for prediction(RMSEP)and residual predictive deviation(RPD)were 0.0161,0.989 and 9.4783,respectively.Forα-linolenic acid prediction,best predictive performance was obtained using LS-SVM model and the spectral pretreatment of Savitzky-Golay smoothing and standard normal variation(SNV).Rp 2,RMSEP and RPD were 0.0036,0.972 and 6.0561,respectively.The results indicate that it is feasible to use near infrared spectroscopy for fast determination ofα-linolenic acid and linoleic acid contents in edible oils.
作者
张辉
吴迪
李想
石品艳
王思寒
冯凤琴
何勇
Zhang Hui;Wu Di;Li Xiang;Shi Pinyan;Wang Sihan;Feng Fengqin;He Yong(College of Biosystems Engineering and Food Science,Zhejiang University,Hangzhou,310029,China)
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2012年第7期266-270,共5页
Transactions of the Chinese Society of Agricultural Engineering
基金
国家科技支撑计划(No.2006BAD05A02)
国家高技术研究发展计划("863"计划)项目(2007AA10Z210)
关键词
近红外光谱
模型
优化
α-亚麻酸和亚油酸
食用油
检测
near infrared spectroscopy
models
optimization
α-linolenic acid and linolenic acid
edible oils
determination
