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涡旋辅助反相分散液液微萃取和丝网印刷碳电极快速测定橄榄油中亲水性酚类。

Rapid determination of hydrophilic phenols in olive oil by vortex-assisted reversed-phase dispersive liquid-liquid microextraction and screen-printed carbon electrodes.

机构信息

Departamento de Química Analítica, Nutrición y Bromatología e Instituto Universitario de Materiales, Universidad de Alicante, P.O. Box 99, E-03080 Alicante, Spain.

Departamento de Química Analítica, Nutrición y Bromatología e Instituto Universitario de Materiales, Universidad de Alicante, P.O. Box 99, E-03080 Alicante, Spain.

出版信息

Talanta. 2018 May 1;181:44-51. doi: 10.1016/j.talanta.2017.12.075. Epub 2017 Dec 24.

Abstract

A novel approach is presented to determine hydrophilic phenols in olive oil samples, employing vortex-assisted reversed-phase dispersive liquid-liquid microextraction (RP-DLLME) for sample preparation and screen-printed carbon electrodes for voltammetric analysis. The oxidation of oleuropein, hydroxytyrosol, caffeic acid, ferulic acid and tyrosol was investigated, being caffeic acid and tyrosol selected for quantification. A matrix-matching calibration using sunflower oil as analyte-free sample diluted with hexane was employed to compensate matrix effects. Samples were analyzed under optimized RP-DLLME conditions, i.e., extractant phase, 1M HCl; extractant volume, 100µL; extraction time, 2min; centrifugation time, 10min; centrifugation speed, 4000rpm. The working range showed a good linearity between 0.075 and 2.5mgL (r = 0.998, N = 7) for caffeic acid, and between 0.075 and 3mgL (r = 0.999, N = 8) for tyrosol. The methodological limit of detection was empirically established at 0.022mgL for both analytes, which is significantly lower than average contents found in olive oil samples. The repeatability was evaluated at two different spiking levels (i.e., 0.5mgL and 2mgL) and coefficients of variation ranged from 8% to 11% (n = 5). The applicability of the proposed method was tested in olive oil samples of different quality (i.e., refined olive oil, virgin olive oil and extra virgin olive oil). Relative recoveries varied between 83% and 108% showing negligible matrix effects. Finally, fifteen samples were analyzed by the proposed method and a high correlation with the traditional Folin-Ciocalteu spectrophotometric method was obtained. Thereafter, the concentrations of the fifteen oil samples were employed as input variables in linear discriminant analysis in order to distinguish between olive oils of different quality.

摘要

提出了一种新方法,用于测定橄榄油样品中的亲水性酚类化合物,该方法采用涡旋辅助反相分散液液微萃取(RP-DLLME)进行样品制备,并采用丝网印刷碳电极进行伏安分析。研究了橄榄苦苷、羟基酪醇、咖啡酸、阿魏酸和酪氨酸的氧化,选择咖啡酸和酪氨酸进行定量。采用葵花油作为无分析物样品,用正己烷稀释,进行基质匹配校准,以补偿基质效应。在优化的 RP-DLLME 条件下分析样品,即萃取相为 1M HCl;萃取剂体积为 100µL;萃取时间为 2min;离心时间为 10min;离心速度为 4000rpm。工作范围显示,咖啡酸在 0.075 至 2.5mgL 之间(r = 0.998,N = 7),酪氨酸在 0.075 至 3mgL 之间(r = 0.999,N = 8)具有良好的线性关系。两种分析物的方法检出限均经验性地设定为 0.022mgL,显著低于橄榄油样品中的平均含量。在两个不同的加标水平(即 0.5mgL 和 2mgL)下评估了重复性,变异系数范围为 8%至 11%(n = 5)。该方法在不同质量的橄榄油样品(即精炼橄榄油、初榨橄榄油和特级初榨橄榄油)中的适用性进行了测试。相对回收率在 83%至 108%之间变化,表明基质效应可忽略不计。最后,用所提出的方法分析了 15 个样品,与传统的福林-肖卡尔特分光光度法高度相关。此后,将这 15 个油样的浓度作为输入变量,用于线性判别分析,以区分不同质量的橄榄油。

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