Elísabet Martín-Tornero , David Simón-García , Manuel Álvarez-Ortí , José Emilio Pardo , Isabel Durán-Merás , Daniel Martín-Vertedor
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引用次数: 0
摘要
分析了从 150 °C 不同烘焙时间的杏仁中提取的杏仁油,以量化酸度、过氧化值、K、K 值、抗氧化活性和氧化稳定性指数等质量参数。焙烧过程会引起油中化合物的氧化,导致酸度、过氧化值、K 值和 K 值增加。在杏仁油样品上直接扫描了激发-发射矩阵(EEM)。将激发发射矩阵与并行因子分析(PARAFAC)相结合,可获得有关主要荧光团及其随焙烧时间变化的定性信息。利用展开偏最小二乘法(U-PLS)获得了定量信息,证明了荧光技术与多元分析相结合在量化杏仁油分析参数方面的有效性。建立了预测模型,并进行了外部验证。在外部验证中,除 k270 外,所有参数的确定系数均高于 0.94。
Non-destructive fluorescence spectroscopy for quality evaluation of almond oils extracted from roasted kernel
Almond oils extracted from roasted kernels at different roasting times at 150 °C were analyzed to quantify quality parameters such as acidity, peroxide value, K232, K270, antioxidant activity and the oxidative stability index. The roasting process induced oxidation of the chemical compounds in the oil, resulting in increased acidity, peroxide value, K232 and K270. The antioxidant activity exhibited a decreasing trend over time, while the oxidative stability showed only slight changes. Excitation-emission matrices (EEMs) were directly scanned on almond oil samples. The combination of the EEMs with parallel factor analysis (PARAFAC) provided qualitative information about the main fluorophores and their evolution with the roasting time. Quantitative information was obtained using unfolded partial least squares (U-PLS), demonstrating the effectiveness of the fluorescence technique in combination with multivariate analysis to quantify analytical parameters in almond oils. Prediction models were developed, and subjected to external validation. The coefficients of determination in the external validation were higher than 0.94 for all parameters except k270.