The Association between Chromaticity, Phenolics, Carotenoids, and In Vitro Antioxidant Activity of Frozen Fruit Pulp in Brazil: An Application of Chemometrics

被引:53
作者
Ferreira Zielinski, Acacio Antonio [1 ]
Avila, Suelen [2 ]
Ito, Vivian [2 ]
Nogueira, Alessandro [2 ]
Wosiacki, Gilvan [2 ]
Isidoro Haminiuk, Charles Windson [3 ]
机构
[1] Univ Fed Parana, Grad Program Food Engn, Polytech Ctr, BR-81531980 Curitiba, PR, Brazil
[2] Univ Estadual Ponta Grossa, Grad Program Food Sci & Technol, BR-84030900 Ponta Grossa, PR, Brazil
[3] Univ Tecnol Fed Parana, Grad Program Food Technol, BR-87301899 Campo Mourao, PR, Brazil
关键词
anthocyanin; flavonoids; hierarchical cluster analysis; multivariate analysis; principal component analysis; BIOACTIVE COMPOUNDS; CAPACITY; ANTHOCYANINS; VACCINIUM; JUICES; IMPACT;
D O I
10.1111/1750-3841.12389
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
A total of 19 Brazilian frozen pulps from the following fruits: acai (Euterpe oleracea), blackberry (Rubus sp.), caja (Spondias mombin), cashew (Anacardium occidentale), cocoa (Theobroma cacao), coconut (Cocos nucifera), grape (Vitis sp.), graviola (Annona muricata), guava (Psidium guajava), papaya (Carica papaya), peach (Prunus persica), pineapple (Ananas comosus), pineapple and mint (A. comosus and Mentha spicata), red fruits (Rubus sp. and Fragaria sp.), seriguela (Spondias purpurea), strawberry (Fragaria sp.), tamarind (Tamarindus indica), umbu (Spondias tuberosa), and yellow passion fruit (Passiflora edulis) were analyzed in terms of chromaticity, phenolic compounds, carotenoids, and in vitro antioxidant activity using ferric reducing antioxidant power (FRAP) and 1,1-diphenyl-2-picrylhydrazyl (DPPH) assays. Data were processed using principal component analysis (PCA) and hierarchical cluster analysis (HCA). Antioxidant capacity was measured by DPPH and FRAP assays, which showed significant (P < 0.01) correlation with total phenolic compounds (r = 0.88 and 0.70, respectively), total flavonoids (r = 0.63 and 0.81, respectively), and total monomeric anthocyanins (r = 0.59 and 0.73, respectively). PCA explained 74.82% of total variance of data, and the separation into 3 groups in a scatter plot was verified. Three clusters also suggested by HCA, corroborated with PCA, in which cluster 3 was formed by strawberry, red fruits, blackberry, acai, and grape pulps. This cluster showed the highest contents of total phenolic compounds, total flavonoids, and antioxidant activity. Practical Application Multivariate techniques as PCA and HCA are efficient and fast tools in order to distinguish the differences between samples.
引用
收藏
页码:C510 / C516
页数:7
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