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探索性研究苹果汁荧光与其抗氧化性能的关系。

Explorative study of apple juice fluorescence in relation to antioxidant properties.

机构信息

Faculty of Commodity Science, Poznań University of Economics and Business, al. Niepodległości 10, 60-967 Poznań, Poland.

Universidade do Algarve, FCT, DQB and CIQA, Campus de Gambelas, Faro 8005-139, Portugal.

出版信息

Food Chem. 2016 Nov 1;210:593-9. doi: 10.1016/j.foodchem.2016.05.007. Epub 2016 May 2.

Abstract

Total fluorescence spectra (excitation-emission matrices, EEM) were recorded for a series of commercial apple juices, including clear and cloudy juices produced from concentrate, cloudy juices that were not from concentrate, and freshly squeezed juices. An exploratory study of the spectra with parallel factor analysis (PARAFAC) revealed three groups of fluorophores with different emission properties, and these properties were characterized by excitation/emission maxima at 270/315nm, (310, 370)/455nm, and 430/(550, 680)nm, respectively. A regression analysis of the total fluorescence spectra arranged into three-way arrays using N-way partial least squares regression methods (NPLS1 and NPLS2) and an analysis of the unfolded spectra by partial least squares methods (PLS1 and PLS2) revealed quantitative relations between the fluorescence and antioxidant properties of juices. The best models for the total phenolic contents and total antioxidant capacities were obtained by applying the NPLS1 method to the EEM. The model parameters were as follows: R(2)CV=0.802, RPD=2.3 for the total phenolic content and R(2)CV=0.808 and RPD=2.3 for the total antioxidant capacity. These results show the potential use of fluorescence spectroscopy for screening apple juices for their antioxidant properties.

摘要

总荧光光谱(激发-发射矩阵,EEM)被记录为一系列商业苹果汁,包括来自浓缩液的透明和混浊果汁、非浓缩液的混浊果汁和新鲜压榨果汁。用平行因子分析(PARAFAC)对光谱进行的探索性研究揭示了三组具有不同发射特性的荧光团,这些特性的特征是激发/发射最大值分别为 270/315nm、(310、370)/455nm 和 430/(550、680)nm。使用 N 向部分最小二乘回归方法(NPLS1 和 NPLS2)将总荧光光谱排列成三向阵列,并通过部分最小二乘方法(PLS1 和 PLS2)对未展开的光谱进行分析,揭示了荧光和果汁抗氧化特性之间的定量关系。通过将 NPLS1 方法应用于 EEM 获得了总酚含量和总抗氧化能力的最佳模型。模型参数如下:总酚含量的 R(2)CV=0.802,RPD=2.3,总抗氧化能力的 R(2)CV=0.808,RPD=2.3。这些结果表明荧光光谱学在筛选苹果汁的抗氧化特性方面具有潜在的应用。

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