Study on Accelerated Oxidation Characteristics of Coix Seed Oil Based on ~1H Nuclear Magnetic Resonance and Multivariate Statistical AnalysisChinese Full TextEnglish Full Text (MT)
XIAO Shi-Yun;ZHAO Ze-Wei;DING Zhu-Hong;CHEN Si-Qi;DU Bo-Feng;School of Liquor and Food Engineering, Guizhou University,Key Laboratory of Agricultural and Animal Products Store & Processing of Guizhou Province;
Abstract: Based on proton nuclear magnetic resonance(~1H NMR) technique and partial least squares-discriminant analysis(PLS-DA), the accelerated oxidation characteristics of coix seed oil at room temperature and 60℃ were monitored. The results showed that when the fresh coix seed oil sample was stored at room temperature for 135 days, the linoleic acid content of the oil sample decreased by 16.46%, the oleic acid increased by 1.83%, and the saturated fatty acid increased by 30.23%, but the primary and secondary oxidation product signal peaks were not observed. When the coix seed oil was accelerated at 60℃ for 18 d, the secondary oxidation product signal peak appeared. After accelerated 42 d, the linoleic acid content decreased by 71.99%, the oleic acid increased by 7.33%, and the saturated fatty acid content increased by 1.34 times, indicating that the content of fatty acids varied significantly at different oxidation temperatures(p<0.05), the oxidation order satisfied polyunsaturated fatty acid(PUFA)>monounsaturated fatty acid(MUSA)>saturated fatty acid(SFA). The deterioration of accelerated oxidized oil samples is faster than that of room temperature oxidized oil samples. The PLS-DA model could identify the oxidation conditions of coix seed oil. Therefore, the qualitative analysis model constructed by ~1H NMR fingerprint combined with multivariate statistical analysis could classify and identify the quality changes of oil oxidation accurately, which could support the reference on quality control and quality evaluation of coix seed oil.
Keywords:
Coix seed oil; Accelerated oxidation; Proton nuclear magnetic resonance; Partial least squaresdiscriminant analysis;
- DOI:
10.19756/j.issn.0253-3820.191458
- Series:
(B) Chemistry/ Metallurgy/ Environment/ Mine Industry
- Subject:
Chemistry; General Chemistry Industry; Light Industry, Handicraft Industry
- Classification Code:
O657.2;TS225.1
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