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荧光监测不同容器包装特级初榨橄榄油的氧化情况。

Fluorescence Monitoring Oxidation of Extra Virgin Olive Oil Packed in Different Containers.

机构信息

Departamento de Química Analítica, Universidad de Extremadura, 06006 Badajoz, Spain.

Technological Institute of Food and Agriculture, CICYTEX-INTAEX, Junta de Extremadura, Avda. Adolfo Suárez s/n, 06007 Badajoz, Spain.

出版信息

Molecules. 2022 Oct 26;27(21):7254. doi: 10.3390/molecules27217254.

Abstract

'Picual' olive oil was stored in different types of containers for 10 months and monitored via quality parameters. In combination with the mentioned analysis, non-destructive fluorescence spectroscopy was performed combined with multivariate analysis to monitor and quantify oil quality levels. Excitation emission matrices (EMMs) were analyzed using parallel factor analysis (PARAFAC). According to the quality parameters, it was observed that Transparent Crystal (TC) and Opaque Crystal (OC) samples were the ones that deteriorated faster due to their higher exposure to light in comparison with Plastic (P) and Canned (C) samples. In a fast and non-destructive manner, the fluorescence spectroscopy-based prototype successfully monitored the oxidation changes in the EVOOs. Unfolded partial least squares (U-PLS) was used to generate a regression model to quantify quality parameters. Good correlation coefficients were found for the peroxide index, K and the oxidative stability index (r between 0.90 and 0.94 for cross-validation and validation). For all of that, the results obtained confirmed the ability of fluorescence spectroscopy to monitor the quality of olive oil and EEMs combined with U-PLS can be used to analyze these parameters, eluding the classical methods.

摘要

“皮夸尔”橄榄油在不同类型的容器中储存了 10 个月,并通过质量参数进行了监测。结合上述分析,采用非破坏性荧光光谱法结合多元分析对油质水平进行了监测和定量。使用平行因子分析(PARAFAC)对激发发射矩阵(EMMs)进行了分析。根据质量参数,观察到透明晶体(TC)和不透明晶体(OC)样品由于与塑料(P)和罐装(C)样品相比,它们更容易受到光的暴露,因此变质更快。荧光光谱原型以快速和非破坏性的方式成功监测了特级初榨橄榄油的氧化变化。展开偏最小二乘(U-PLS)用于生成回归模型以定量质量参数。发现过氧化物指数、K 和氧化稳定性指数(交叉验证和验证的相关系数在 0.90 到 0.94 之间)之间存在良好的相关性。所有这些结果都证实了荧光光谱法监测橄榄油质量的能力,并且可以使用 EEMs 结合 U-PLS 来分析这些参数,从而避免使用经典方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f685/9657777/fcbb44432704/molecules-27-07254-g001.jpg

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