LIU Yan-de, XIE Qing-hua, WANG Hai-yang etc. Comparative study on camellia oil & olive oil quality and quantitative analysis of adulteration[J]. Editorial Office of Optics and Precision Engineering, 2016,24(10s): 600-606
LIU Yan-de, XIE Qing-hua, WANG Hai-yang etc. Comparative study on camellia oil & olive oil quality and quantitative analysis of adulteration[J]. Editorial Office of Optics and Precision Engineering, 2016,24(10s): 600-606 DOI: 10.3788/OPE.20162413.0600.
Comparative study on camellia oil & olive oil quality and quantitative analysis of adulteration
以拉曼光谱技术对山茶油和橄榄油品质进行对比研究,再结合化学计量学方法实现山茶油和橄榄油掺假的分别建模和预测分析。论文借助德国Bruker激光共焦显微拉曼光谱仪,对比研究了山茶油和橄榄油的掺假快速无损预测效果。将菜籽油、花生油、大豆油、棉籽油、玉米油、葵花籽油分别以6个掺假体积比掺杂到山茶油和橄榄油中,每类分别采集36个光谱,然后选择信噪比好、特征峰强的900~2 900 cm
A comparative study on the quality of camellia oil and olive oil is carried out by using the Raman spectra technique
and then
through the chemometrics method
the modeling and predictive analysis on the adulterated camellia oil and olive oil are implemented. In this paper
the study is conducted on rapid nondestructive testing of the adulterated camellia oil and olive oil by virtue of the Bruker laser confocal Raman microscopy of Germany. Experiment process:the rapeseed oil
peanut oil
soybean oil
cottonseed oil
corn oil and sunflower seed oil are respectively added into the camellia oil and olive oil as 6 different doping proportions
36 spectra for each classification are collected
then the 900~2 900 cm
-1
wave band data with higher signal-to-noise ratio and stronger characteristic peak are selected for preprocessing with the two methods including 1st derivatives and Savitzky Golay Smoothing
and the partial least-square (PLS) model is created. Through a comparison of the model effect
Savitzky Golay Smoothing is confirmed to be the optimal preprocessing method; correlation coefficient (Rp) and root-mean-square error (RMSEP) for camellia oil adulteration are respectively 0.994 and 1.79%
while Rp and RMSEP for olive oil adulteration are restively 0.989 and 3.05%. Finally
the optimally-processed data is taken as the basis for a principal component regression (PCR) quantitative analysis
but it's predictive effect is not as good as the PLS quantitative analysis. The experiment indicates that the prediction for camellia oil adulteration is more accurate than that for the olive oil
and in the same conditions
changes in the adulteration content of camellia oil are more regular
with more practical preventive measures than oil adulteration. Hence
in similar nutritional conditions
camellia oil serves as a better choice than olive oil for production and processing
as well as sales and food.
关键词
Keywords
references
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