Dissertation
Dissertation > Industrial Technology > Light industry,handicrafts > Food Industry > Edible oils and fats processing industry > A variety of edible oil > Vegetable oil

Establishment Mathematics Regression Model of Adulteration on the Base of Composition of Fatty Acids

Author PengSiMin
Tutor WuWeiGuo
School Hunan Agricultural University
Course Of Food Science
Keywords Camellia oil adulteration correlation analysis significance analysis Regression-forecast Model
CLC TS225.1
Type Master's thesis
Year 2013
Downloads 12
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In order to improve the database and to prove the useful basis to the quality control and adulteration detection of camellia oils. The paper established some adulteration model of single、two kinds oils adulterated camellia oil. Gas chromatography-mass spectrometry (GC-MS) technology was used to obtained the composition and content of fatty acids, Meanwhile, The regression model was established by combined with the analysis of correlation and significance. The main study conclusions of this paper are as follows:1、 Identification of Adulteration of Camellia oil Based on the content of Fatty Acids:Based on the gas chromatography-mass spectrometry (GC-MS) technology, we obtained the Fatty acid content of the adulterate model of camellia oil. The model consists of peanut oil, soybean oil, rapeseed oil as a single grease and two kinds of oil adulterated into camellia oil. The content of fatty acids were analyzed and the contour map by the content of fatty acids and fat content were drew. Their can intuitively showing the distribution of each oil in the adulterated model.The research results of this paper were useful for the quality control and adulteration detection of vegetable oils.2、The establish of the regression model of camellia oil adulteration:Though the correlation and significance analysis,the paper choose the fatty acids which was both significantly correlation and difference to built the regression-forecast model between the composition of fatty acids and oils. we can obtain the regression equation as these:Regression-forecast Model of the Camellia oil has been adulterated rap oil: Y(Linolenic-acid)=9.2307-0.0394X(R2=0.9960),Y(Palmitic-acid)=76.9492-0.1847X(R2=0.9432), Y (Cis-oleic-acid)=0.3515+0.0604X(R2=0.8316).Regression-forecast Model of the Camellia oil has been adulterated soybean oil: Y(Linolenic-acid)=0.1430+0.1022X(R2=0.9986),Y(Cis-linoleic-acid)=8.8475+0.4323 X(R2=0.9971),Y(Cis-oleic-acid)=78.0103-0.6127X(R2=0.9923),Y(Stearic-acid)=2.3335+0.0301X(R2=0.9738).Regression-forecast Model of the Camellia oil has been adulterated peanut oil: Y(Arachidic-acid)=0.0401+0.0176X(R2=0.9988), Y(Cis-linoleic-acid)=9.1747+0.3177X(R2=0.9661),Y(Cis-oleic-acid)=77.3501-0.3944X(R2=0.9595).Regression-forecast Model of the Camellia oil has been adulterated rap oil and soybean-oil:Y(Linolenic-acid)=0.1524+0.0611X1+0.0908X2(R2=0.9926),Y(Cis-linole icacid)=8.8113+0.0925X1+0.3998X2(R2=0.9915),Y(Cis-oleic-acid)=78.4643-0.1655X1-0.5546X2(R2=0.9816).Regression-forecast Model of the Camellia oil has been adulterated soybean oil and peanut-oil:Y(Cis-oleic-acid)=77.9941-0.4237X1-0.5713X2(R2=0.99645),Y(Cis-linolei acid)=9.0384+0.3035X1+0.3896X2(R2=0.9914),Y(Stearic-acid)=2.0873+0.0114X1+0.0320X2(R2=0.9855).Regression-forecast Model of the Camellia oil has been adulterated peanut oil and rap oil:Y(Cis-linoleic acid)=0.0738+0.0075X1+0.0159X2(R2=0.9903), Y(Arachidic acid)=0.0738+0.0075X1+0.01586X2(R2=0.9875), Y(Cis-oleic acid)=77.2610-0.1556X1-0.3805X2(R2=0.9558).

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