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Potential of LC Coupled to Fluorescence Detection in Food Metabolomics: Determination of Phenolic Compounds in Virgin Olive Oil

机译:LC在食品代谢组学中耦合至荧光检测的潜力:初榨橄榄油中酚类化合物的测定

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摘要

A powerful chromatographic method coupled to a fluorescence detector was developed to determine the phenolic compounds present in virgin olive oil (VOO), with the aim to propose an appropriate alternative to liquid chromatography-mass spectrometry. An excitation wavelength of 285 nm was selected and four different emission wavelengths (316, 328, 350 and 450 nm) were simultaneously recorded, working therefore on “multi-emission” detection mode. With the use of commercially available standards and other standards obtained by semipreparative high performance liquid chromatography, it was possible to identify simple phenols, lignans, several complex phenols, and other phenolic compounds present in the matrix under study. A total of 26 phenolic compounds belonging to different chemical families were identified (23 of them were susceptible of being quantified). The proposed methodology provided detection and quantification limits within the ranges of 0.004–7.143 μg·mL−1 and 0.013–23.810 μg·mL−1, respectively. As far as the repeatability is concerned, the relative standard deviation values were below 0.43% for retention time, and 9.05% for peak area. The developed methodology was applied for the determination of phenolic compounds in ten VOOs, both monovarietals and blends. Secoiridoids were the most abundant fraction in all the samples, followed by simple phenolic alcohols, lignans, flavonoids, and phenolic acids (being the abundance order of the latter chemical classes logically depending on the variety and origin of the VOOs).
机译:开发了一种与荧光检测器耦合的功能强大的色谱方法,用于测定初榨橄榄油(VOO)中存在的酚类化合物,目的是为液相色谱-质谱法提出一种合适的替代方法。选择了285 nm的激发波长,并同时记录了四个不同的发射波长(316、328、350和450 nm),因此适用于“多发射”检测模式。通过使用市售标准品和通过半制备型高效液相色谱法获得的其他标准品,可以鉴定研究基质中存在的简单酚类,木脂素,几种复杂酚类和其他酚类化合物。总共鉴定出26种属于不同化学家族的酚类化合物(其中23种易于量化)。所提出的方法提供的检测和定量限分别在0.004–7.143μg·mL -1 和0.013–23.810μg·mL -1 范围内。就重复性而言,保留时间的相对标准偏差低于0.43%,峰面积的相对标准偏差低于9.05%。所开发的方法可用于测定10种VOO(单变量和共混物)中的酚类化合物。在所有样品中,类胡萝卜素含量最丰富,其次是简单的酚醇,木脂素,类黄酮和酚酸(逻辑上,后者是根据VOO的种类和来源而定的,其后化学类别的丰度顺序)。

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