Literature DB >> 14640568

Application of tristimulus colorimetry to estimate the carotenoids content in ultrafrozen orange juices.

Antonio J Meléndez-Martínez1, Isabel M Vicario, Francisco J Heredia.   

Abstract

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.

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Year:  2003        PMID: 14640568     DOI: 10.1021/jf034873z

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  1 in total

1.  Colorimetric Analysis of Hibiscus Beverages and their Potential Antioxidant Properties.

Authors:  G A Camelo-Méndez; P E Vanegas-Espinoza; M L Escudero-Gilete; F J Heredia; O Paredes-López; A A Del Villar-Martínez
Journal:  Plant Foods Hum Nutr       Date:  2018-09       Impact factor: 3.921

  1 in total

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