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Detection of adulterated oil-tea camellia seed oil by GC and LF-NMR combined with chemometrics methods |
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DOI: |
KeyWord:oil-tea camellia seed oil fatty acid composition transverse relaxation characteristics chemometrics method adulteration identification |
FundProject:贵州省基础研究计划(\[2020\]1Y145);贵州省林业科研项目(\[2020\]10);贵州省科技创新人才团队(\[2020\]5003);贵州省基础研究计划(\[2020\]1Y141);贵州省优秀青年科技人才项目(2019\[5643\]) |
Author Name | Affiliation | HU Bokai1,2, WANG Jihui1,2, LIU Yana1,2, GENG Yangyang1,2,
WANG Gang2, ZHANG Dongya3 | 1.Guizhou Provincial Institute of Walnut, Guiyang 550005, China 2.Guizhou Academy of Forestry,
Guiyang 550005, China 3.Guizhou Light Industry Technical College, Guiyang 550005, China |
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Abstract: |
In order to provide support for the quality control and evaluation of oil-tea camellia seed oil, pure oil-tea camellia seed oil and adulterated oil-tea camellia seed oil (adulterated with rapeseed oil, peanut oil, palm oil,high olelc acid peanut oil respectively) were used as experimental materials, their fatty acid composition was analyzed by gas chromatography (GC) and transverse relaxation characteristic data was measured by low field nuclear magnetic resonance (LF-NMR), and then the qualitative and quantitative analysis models for distinguishing adulteration of oil-tea camellia seed oil were established by combining chemometric methods such as principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), and partial least squares analysis (PLS). The results showed that there were significant differences in fatty acid composition and LF-NMR transverse relaxation characteristic data of the five vegetable oils. Pure oil-tea camellia seed oil and the other four vegetable oils could be clearly distinguished on the PCA score chart, the PLS-DA model could effectively distinguish oil-tea camellia seed oil from adulterated oil with a discrimination accuracy up to 100%. The PLS quantitative prediction models established for the adulteration of rapeseed oil, peanut oil, palm oil and high oleic acid peanut oil in oil-tea camellia seed oil showed R2 of 0.994 1, 0.998 6, 0.997 6 and 0.978 1 for the true and predicted values, respectively. In summary, GC and LF-NMR combined with chemometrics methods such as PCA, PLS-DA and PLS can be used to determine the adulteration category and analyze the adulteration amount in oil-tea camellia seed oil. |
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