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Highly efficient authentication of edible oils by FTIR spectroscopy coupled with chemometrics

文献类型： 外文期刊

作者： Ye, Qin 1 ; Meng, Xianghe 2 ;

作者机构： 1.Zhejiang Acad Agr Sci, Inst Food Sci, Hangzhou 310014, Peoples R China

2.Zhejiang Univ Technol, Coll Food Sci & Technol, Deqing 313200, Peoples R China

关键词： Fourier-transform infrared spectroscopy (FTIR); Discrimination analysis (DA); Camellia oil; Adulteration; Backward interval partial least squares regression (BiPLS)

期刊名称：FOOD CHEMISTRY （ 影响因子：9.231； 五年影响因子：8.795 ）

ISSN： 0308-8146

年卷期： 2022 年 385 卷

页码：

收录情况： SCI

摘要： A novel improved method for the authentication of edible oil samples based on Fourier-transform infrared (FTIR) spectroscopy coupled with chemometrics has been developed. A discrimination analysis model has been developed. On this basis, 100% correct classification of 135 samples from eleven species has been achieved. Recognition rates with respect to external validation for 91 pure oil samples and 231 blend samples were 100% and 92.6%, respectively. A general quantitative model for detecting edible oil adulteration (taking Camellia oil as an example) has also been built. An optimal backward interval partial least-squares model, based on the spectral regions nu = 3100-2900, 1800-1700, 1500-1400, and 1200-1100 cm(-1), has been determined, giving good performances. A specific sub-model using a single adulterant oil has also been constructed, which showed higher prediction accuracy. Based on the developed qualitative and quantitative FTIR methods, adulterant oils in Camellia blends could be rapidly detected, effectively differentiated, and accurately quantified.

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