摘要
应用傅里叶变换红外光谱(FT—IR)法测定纯核桃油和分别混合大豆油、普洱茶籽油和葵花籽油的掺伪核桃油的红外光谱,结合主成分分析法(PCA)以及马氏距离判别法对核桃油的纯度进行判别,3个判别模型的准确率均达到100%;同时对验证集样品的类归属进行判别,判别准确率达均为100%。结合偏最小二乘法(PLS)定量检测核桃油纯度,建立的PLS校正集模型中核桃油的真实含量与FT—IR预测含量的相关系数R2分别为0.990 8、0.994 4和0.995 5,校正集均方根误差分别为0.032 7、0.023 5和0.019 6。试验结果证明,该方法可以作为核桃油质量监控的快速检测方法。
Fourier transform infrared （ FT - IR） spectrometer was used to collect infrared spectra of pure virgin walnut oil （VWO） and VWOs adulterated with soybean oil （SO）, pure tea seed oil （PO） and sunflower oil （SFO）. FT- IR spectroscopy combined with principal component analysis （PCA） and mahalanobis distance were developed for determining the authenticity of VWO, and all the accuracy rates of three models are 100% ; Meanwhile, validation samples were used to predict the results by the models, and all the prediction accuracy rates are 100%. The partial least square （PLS） model was further used to predict the levels of these vegetable oils in independent samples for validation purpose. PLS models correlate the actual and FT - IR estimated values of oil adulterants （ SO, PO and SFO） with coefficient of determination （ R2 ） of 0. 990 8, 0. 994 4, 0. 995 5 respectively. The RMSEC values of SO, PO and SFO in VWO obtained are 0. 032 7, 0.023 5 and 0.019 6, respectively. The method, therefore, has been as a rapid method for detection and quantification of VWO adulteration.
出处
《中国粮油学报》
EI
CAS
CSCD
北大核心
2015年第2期122-126,130,共6页
Journal of the Chinese Cereals and Oils Association
基金
国家科技支撑计划(2011BAD46B03)
云南省科技计划(2009EB081
2011AB006)
关键词
傅里叶变换红外光谱
核桃油
掺伪
主成分分析-马氏距离
偏最小二乘法
FT- IR spectroscopy, pure walnut oil, adulteration, principal component analysis -mahalanobis distance, partial least squares
