首页> 外文期刊>Journal of Agricultural and Food Chemistry >Application of tristimulus colorimetry to estimate the carotenoids content in ultrafrozen orange juices.
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Application of tristimulus colorimetry to estimate the carotenoids content in ultrafrozen orange juices.

机译:三刺激比色法在超冻橙汁中类胡萝卜素含量估算中的应用。

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Tristimulus Colorimetry was applied to characterize the color of Valencia late orange juices. Color measurements were made against white background and black background. The profile of the main carotenoids related to the color of the juices was determined by HPLC. Significant correlations (p < 0.05) between b*, Cab* and h(ab) and the content of beta-cryptoxanthin, lutein + zeaxanthin and beta-carotene were found. The correlations between the color parameters L*, a*, b*, Cab* and h(ab) and the carotenoids content were also explored by partial least squares. The results obtained have shown that it is possible to obtain equations, by means of multiple regression models, which allow the determination of the individual carotenoid levels from the CIELAB color parameters, with R2 values always over 0.9. In this sense, equations have been proposed to calculate the retinol equivalents (1 RE = 1 microgram retinol = 12 micrograms beta-carotene = 24 micrograms alpha-carotene = 24 micrograms beta-cryptoxanthin) of the orange juice analyzed as a function of the color parameters calculated from measurement made against white and black backgrounds. The average RE per liter of juice obtained by HPLC was 51.07 +/- 18.89, whereas employing these equations, average RE values obtained were 51.16 +/- 1.36 and 51.21 +/- 1.70 for white background and black background, respectively.
机译:三刺激比色法用于表征瓦伦西亚晚橙汁的颜色。在白色背景和黑色背景下进行颜色测量。与果汁的颜色有关的主要类胡萝卜素的特征通过HPLC测定。发现b *,Cab *和h(ab)与β-隐黄质,叶黄素+玉米黄质和β-胡萝卜素的含量之间存在显着相关性(p <0.05)。颜色参数L *,a *,b *,Cab *和h(ab)与类胡萝卜素含量之间的相关性也通过偏最小二乘法进行了探索。获得的结果表明,可以通过多重回归模型获得方程式,该方程式允许从CIELAB颜色参数确定各个类胡萝卜素水平,R2值始终超过0.9。从这个意义上讲,已经提出了方程来计算橙汁视黄醇当量(1 RE = 1微克视黄醇= 12微克β-胡萝卜素= 24微克α-胡萝卜素= 24微克β-隐黄质),作为颜色的函数根据在白色和黑色背景下进行的测量得出的参数。通过HPLC获得的每升果汁的平均RE为51.07 +/- 18.89,而使用这些方程式,白色背景和黑色背景的平均RE值分别为51.16 +/- 1.36和51.21 +/- 1.70。

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