Di Stefano V, Pitonzo R, Novara ME, Bongiorno D, Indelicato S, Gentile C, Avellone G, Bognanni R, Scandurra S, Melilli MG. Antioxidant activity and phenolic composition in pomegranate (Punica granatum L.) genotypes from south Italy by UHPLC-Orbitrap-MS approach.
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2019;
99:1038-1045. [PMID:
30014464 DOI:
10.1002/jsfa.9270]
[Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2018] [Revised: 06/25/2018] [Accepted: 07/12/2018] [Indexed: 06/08/2023]
Abstract
BACKGROUND
Pomegranate fruits are a rich source of polyphenols with numerous health-promoting effects. Pomegranate juices of five genotypes ('Mollar', 'Kingdom', 'Dente di Cavallo', and two old populations 'Francofonte' and 'Santa Tecla') were evaluated regarding anthocyanin and non-anthocyanin phenolic contents using ultrahigh performance liquid chromatography (UHPLC)-Orbitrap-mass spectrometry (MS). Moreover, total antioxidant activity (TAA) was evaluated using a 2,2'-azinobis(3-ethylbenzothiazoline-6-sulfonic acid) diammonium salt (ABTS) assay.
RESULTS
Twenty-three phenolic compounds were identified. Cyanidin-3,5-O-diglucoside and pelargonidin-3,5-O-diglucoside were the most representative anthocyanins in all genotypes; the Santa Tecla population had the highest content of these anthocyanins, 97.64 mg L-1 and 40.29 mg L-1 respectively. In the Francofonte population, ferulic acid hexoside was the most abundant compound (391.18 mg L-1 ). TAA values ranged between 221.5 and 36.73 µmol Trolox equivalents/100 mL of juice. A high TAA value was recorded for the Santa Tecla pomegranate population.
CONCLUSION
The UHPLC-Orbitrap-MS approach was employed for the first time to identify the phenolic compound profiling in five pomegranate genotypes. TAA was analysed using an ABTS assay, and the results showed a significant variability in nutraceutical potential of the pomegranate genotypes studied. The inclusion of phenolic information in the linear discriminant analysis allowed very good discriminations among genotypes to be obtained. © 2018 Society of Chemical Industry.
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