Authentication of “Adelita” Raspberry Cultivar Based on Physical Properties, Antioxidant Activity and Volatile Profile

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Title: Authentication of “Adelita” Raspberry Cultivar Based on Physical Properties, Antioxidant Activity and Volatile Profile
Authors: Valdés, Arantzazu | Maestre, Salvador E. | Butsko, Mikita | Prats Moya, Soledad | Beltrán Sanahuja, Ana
Research Group/s: Análisis de Alimentos, Química Culinaria y Nutrición (AAQCN)
Center, Department or Service: Universidad de Alicante. Departamento de Química Analítica, Nutrición y Bromatología
Keywords: Authentication | Raspberry cultivar | Polyphenols | Experimental design | Volatile composition | Antioxidant activity
Knowledge Area: Nutrición y Bromatología
Issue Date: 6-Jul-2020
Publisher: MDPI
Citation: Valdés García A, Maestre Pérez SE, Butsko M, Prats Moya MS, Beltrán Sanahuja A. Authentication of “Adelita” Raspberry Cultivar Based on Physical Properties, Antioxidant Activity and Volatile Profile. Antioxidants. 2020; 9(7):593. doi:10.3390/antiox9070593
Abstract: Agricultural selection programmes are, today, working hard to obtain novel raspberry cultivars with higher nutritional and commercial quality. One of those cultivars is “Adelita”. This study aims to provide novel tools for raspberry cultivar identification—more specifically, the differentiation of “Adelita” from other raspberry cultivars. To perform this study, five “Adelita” samples were analysed—four cultivated in Spain and one, in Morocco—and they were compared to seven samples from six raspberry cultivars (“P04”, “Lupita”, “Enrosadira”, “P10”, “Quanza” and “Versalles”). The physical parameters (mass, length, equatorial diameter and firmness) combined with the Total Phenolic Content (TPC); the antioxidant capacity according to the antioxidant activity tested with the 2,2-diphenyl-1-picrylhydrazyl (DPPH), ferric-reducing antioxidant power (FRAP) and 2,2-azinobis (3-ethylbenzothiazoline-6-sulfonic acid) diammonium salt (ABTS) methods; and the main target volatile compounds were used as independent variables. Principal component and cluster analysis showed that the target volatiles and physical parameters together with the TPC and DPPH values could be useful to classify Adelita cultivars separately from the rest of the cultivars included in the work. Those results proved that the developed methodology could be proposed as a reliable approach for the identification of cultivar fraud in the supply chain.
Sponsor: Authors wish to thank the Spanish Ministry of Science, Innovation and Universities for the financial support (Project Ref. PGC2018-100711-B-I00).
ISSN: 2076-3921
DOI: 10.3390/antiox9070593
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (
Peer Review: si
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Appears in Collections:INV - AAQCN - Artículos de Revistas

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