A rapid estimation of pigment content in virgin olive oils by a solvent‐free method

类胡萝卜素 颜料 橄榄油 溶剂 色谱法 化学 内容(测量理论) 食用油 线性回归 分析化学(期刊) 数学 食品科学 统计 有机化学 数学分析
作者
Abraham Gila,María P. Aguilera,Araceli Sánchez‐Ortíz,Antonio Jiménez,Gabriel Beltrán
出处
期刊:European Journal of Lipid Science and Technology [Wiley]
卷期号:125 (10)
标识
DOI:10.1002/ejlt.202300042
摘要

Abstract In this work, a fast method was proposed for estimating the virgin olive oils (VOOs) carotenoids and chlorophylls concentration using color measurement. The pigment content by conventional spectrophotometry method and CIELAB color ( L* , a* , and b* ) at different degree of sample thickness (from 5 to 50 mm) of one hundred VOOs were measured. Oil carotenoids and chlorophylls content were correlated with the color parameters for the different oil thickness studied to design the prediction models of the new method. The best regression coefficients ( R 2 ) were obtained for multiple linear regression model using the three independent variables ( L* , a* , and b* ) together measured at 5 mm of oil thickness. The R 2 were 0.9679, 0.9515, and 0.9644 for predicting carotenoids, chlorophylls, and total pigments, respectively. External validation of these prediction models was satisfactory (relative error < 0.1). Therefore, this new solvent‐free colorimetric method is a useful method for determination of carotenoids and chlorophylls content in VOOs. Practical applications: The simple colorimetric method developed in this study offers a fast and accurate alternative to current methods published in the literature to estimate the pigment content in VOOs. It is a rapid (less than 1 min) and cheap method, with the advantage of ease of operation, no sample pretreatment and solvent‐free, thus environmentally friendly. This methodology can potentially be used by trained “nonprofessional analytical skilled” people in small laboratories or olive oil mills with limited technical facilities. Therefore, the technique is highly plausible as an alternative to determine the pigment content in VOOs. Finally, future works with this methodology could be carried out to online control of VOOs pigments content in the oil extraction process.

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