Centro IFAPA 'Venta del Llano', Crta. Nacional Bailén-Motril, Km 18.5, 23620 Mengíbar, Jaén, Spain.
Walloon Agricultural Research Centre, Valorization of Agricultural Products Department, Food and Feed Quality Unit, Henseval Building, 24 Chaussée de Namur, 5030 Gembloux, Belgium.
Food Chem. 2015 Apr 15;173:927-34. doi: 10.1016/j.foodchem.2014.10.041. Epub 2014 Oct 14.
The fluorescence spectra of some olive oils were examined in their natural and oxidised state, with wavelength range emissions of 300-800 nm and 300-400 nm used as excitation radiation. The fluorescence emissions were measured and an assessment was made of the relationship between them and the main quality parameters of olive oils, such as peroxide value, K232, K270 and acidity. These quality parameters (peroxide value, K232, K270 and acidity) are determined by laboratory methods, which though not too sophisticated, they are required solvents and materials as well as time consuming and sample preparation; there is a need for rapid analytical techniques and a low-cost technology for olive oil quality control. The oxidised oils studied had a strong fluorescence band at 430-450 nm. Extra virgin olive oil gave a different but interesting fluorescence spectrum, composed of three bands: one low intensity doublet at 440 and 455 nm; one strong band at 525 nm; and one of medium intensity at 681 nm. The band at 681 nm was identified as the chlorophyll band. The band at 525 nm was derived, at least partially, from vitamin E. The results presented demonstrate the ability of the fluorescence technique, combined with multivariate analysis, to characterise olive oils on the basis of all the quality parameters studied. Prediction models were obtained using various methods, such as partial least squares (PLS), N-way PLS (N-PLS) and external validation, in order to obtain an overall evaluation of oil quality. The best results were obtained for predicting K270 with a root mean square (RMS) prediction error of 0.08 and a correlation coefficient obtained with the external validation of 0.924. Fluorescence spectroscopy facilitates the detection of virgin olive oils obtained from defective or poorly maintained fruits (high acidity), fruits that are highly degraded in the early stages (with a high peroxide value) and oils in advanced stages of oxidation, with secondary oxidation compounds (high K232 and K270). The results indicate the potential of a spectrofluorimetric method combined with multivariate analysis to differentiate, and even quantify, the levels of oil quality. The proposed methodology could be used to accelerate analysis, is inexpensive and allows a comprehensive assessment to be made of olive oil quality.
研究了一些橄榄油在天然和氧化状态下的荧光光谱,使用 300-800nm 和 300-400nm 的波长范围发射作为激发辐射。测量了荧光发射,并评估了它们与橄榄油主要质量参数之间的关系,如过氧化物值、K232、K270 和酸度。这些质量参数(过氧化物值、K232、K270 和酸度)是通过实验室方法确定的,虽然这些方法不太过时,但需要溶剂和材料,并且耗时且需要样品制备;因此需要快速分析技术和低成本的橄榄油质量控制技术。研究中氧化的油在 430-450nm 处有一个很强的荧光带。特级初榨橄榄油给出了一个不同但有趣的荧光光谱,由三个带组成:一个在 440nm 和 455nm 处的低强度双峰;一个在 525nm 处的强带;一个在 681nm 处的中等强度带。681nm 处的带被鉴定为叶绿素带。525nm 处的带至少部分来自维生素 E。所呈现的结果表明,荧光技术与多元分析相结合,能够根据所研究的所有质量参数来表征橄榄油。使用各种方法(如偏最小二乘法(PLS)、N 向偏最小二乘法(N-PLS)和外部验证)获得了预测模型,以便对油质进行全面评估。使用外部验证获得的最佳结果是预测 K270,均方根(RMS)预测误差为 0.08,相关系数为 0.924。荧光光谱法有助于检测来自有缺陷或维护不善的果实(高酸度)、在早期阶段高度降解的果实(高过氧化物值)和处于氧化后期的油的特级初榨橄榄油,以及次级氧化化合物(高 K232 和 K270)。结果表明,结合多元分析的光谱荧光法有可能区分,甚至量化油质水平。所提出的方法可以用于加速分析,成本低廉,并允许对橄榄油质量进行全面评估。