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中国精品科技期刊2020
喻凤香, 魏小军, 邓育平, 肖艳. 化学计量法结合气相色谱检测米糠油掺伪棉籽油[J]. 食品工业科技, 2014, (23): 271-274. DOI: 10.13386/j.issn1002-0306.2014.23.049
引用本文: 喻凤香, 魏小军, 邓育平, 肖艳. 化学计量法结合气相色谱检测米糠油掺伪棉籽油[J]. 食品工业科技, 2014, (23): 271-274. DOI: 10.13386/j.issn1002-0306.2014.23.049
YU Feng-xiang, WEI Xiao-jun, DENG Yu-ping, XIAO Yan. Chemometrics approach applied to GC date for determination of cottonseed oil in rice bran oil[J]. Science and Technology of Food Industry, 2014, (23): 271-274. DOI: 10.13386/j.issn1002-0306.2014.23.049
Citation: YU Feng-xiang, WEI Xiao-jun, DENG Yu-ping, XIAO Yan. Chemometrics approach applied to GC date for determination of cottonseed oil in rice bran oil[J]. Science and Technology of Food Industry, 2014, (23): 271-274. DOI: 10.13386/j.issn1002-0306.2014.23.049

化学计量法结合气相色谱检测米糠油掺伪棉籽油

Chemometrics approach applied to GC date for determination of cottonseed oil in rice bran oil

  • 摘要: 为研究米糠油掺混棉籽油的快速定性定量检测方法,采用毛细管气相色谱法测定米糠油掺不同比例棉籽油的脂肪酸含量。将C10∶0、C14∶0、C16∶0、C16∶1、C17∶0、C18∶0、C18∶1、C18∶2、C18∶3、C20∶0、C20∶1、C22∶1的含量作为变量,聚类分析结果表明米糠油掺棉籽油5%以上能正确进行辨别,判别分析结果表明米糠油掺棉籽油20%以上能进行正确辨别,建立了基于特征脂肪酸变化的掺伪量计算一元线性模型YC14∶0=0.004X+0.3168(R2=0.9813),及基于指纹图谱相似度的掺伪量计算模型Y=-240.52X5+677.8X4-697.92X3+312.09X2-66.998X+99.97(R2=0.9993)。方法重复性好,准确度高,误差5%以下。 

     

    Abstract: To establish a rapid qualitative and quantitative detection model of cottonseed oil adulterated into rice bran oil ( RBO) , unadulterated RBO and adulterated RBO with different proportion cottonseed oil were detected by capillary gas chromatography.Contents of C10∶0, C14∶0, C16 ∶0, C16 ∶1, C17 ∶ 0, C18 ∶ 0, C18 ∶ 1, C18 ∶ 2, C18 ∶ 3, C20 ∶ 0, C20∶1, C22∶ 1 were made as variables. Qualitative detection was made by using cluster analysis and discriminant analysis.Result: Cluster analysis was able to made correct identify when RBO mixing cottonseed oil by more than5% and discriminant analysis more than 20%. Quantitative detection models YC14∶0= 0.004 X + 0.3168 ( R2= 0.9813) based on characteristic fatty acids and Y =-240.52X5+ 677.8X4-697.92X3+ 312.09X2-66.998 X + 99.97 ( R2= 0.9993) based on fingerprint similarity were built.The model had good repeatability, high accuracy with error less than 5%.

     

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