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  4. Relationship between Phenolic Compounds, Antioxidant Activity and Color Parameters of Red Table Grape Skins Using Linear Ordering Analysis
 
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Relationship between Phenolic Compounds, Antioxidant Activity and Color Parameters of Red Table Grape Skins Using Linear Ordering Analysis

Type
Journal article
Language
English
Date issued
2022
Author
Muzolf-Panek, Małgorzata 
Waśkiewicz, Agnieszka 
Faculty
Wydział Nauk o Żywności i Żywieniu
Wydział Leśny i Technologii Drewna
Journal
Applied Sciences (Switzerland)
ISSN
2076-3417
DOI
10.3390/app12126146
Web address
https://www.mdpi.com/2076-3417/12/12/6146
Volume
12
Number
12
Pages from-to
art. 6146
Abstract (EN)
Color, being one of the most important sensory characteristics, could be associated to the phenolic compound content and/or the antioxidant activity of fruits and vegetables. In this study, linear ordering was used to build quality rankings of red table grapes based on color parameters or phenolic compounds. First, the principle component analysis (PCA) was used to show the association between color of red grape skins (evaluated in CIE L*a*b* and L*C*h systems) and their individual phenolic compounds (investigated by the HPLC), total polyphenol content (TPC), total anthocyanins (ACNs), as well as the antioxidant activity (DPPH) of five table grape varieties. It could be observed that the lightness (L*) and hue angle (h) are the color coordinates strongly related to some phenolic compounds and ACN, whereas a* was related to DPPH and TPC. Five distinct clusters could be observed from PCA analysis with dark-colored grape varieties showing high levels of ACN (3.48–5.83 mg/g), low lightness (47.8–53.0), and high h values (353.7–359.8°). L*, a*, and h color coordinates were used to build table grape ranking. The second ranking was built based on phenolic compound content. Results of the two rankings were correlated. High Tau Kendall correlation coefficient (0.51, p = 0.000) indicated that linear ordering analysis, based on the simple color measurements, could be a useful tool for rapid screening of the quality of grapes. This could be valuable information for producers and consumers of the fruit making decision on the market.
Keywords (EN)
  • anthocyanin content

  • color coordinates

  • linear ordering analysis

  • polyphenol content

  • principle component analysis

  • radical scavenging capacity

  • quality assessment

  • table grapes

License
cc-bycc-by CC-BY - Attribution
Open access date
June 16, 2022
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