Addition of urea to lucernes before industrial dehydration
1998
Major and minor minerals of ‘Sweetheart’ cherry stone from Cova da Beira
Type
article
Identifier
Antunes, P., Miguel-Pintado, C. and Paulo, L. (2017). Major and minor minerals of 'Sweetheart' cherry stone from Cova da Beira. Acta Hortic. 1161, 677-680
10.17660/ActaHortic.2017.1161.108
Title
Major and minor minerals of ‘Sweetheart’ cherry stone from Cova da Beira
Subject
Prunus avium
Seed
Minerals
ICP-AES
Cova da Beira
Seed
Minerals
ICP-AES
Cova da Beira
Relation
• ProjetoRITECAProjeto Rede de Investigação Transfronteiriça da Extremadura, Centro e Alentejo (RITECA II), financiado pelo Fundo Europeu de Desenvolvimento Regional (FEDER), através do Programa Operacional de Cooperação Transfronteiriça Portugal/Espanha 2007-2013 (POCTEP).
Date
2020-03-27T16:12:24Z
2020-03-27T16:12:24Z
2017
2020-03-27T16:12:24Z
2017
Description
Nowadays customers demand objective and trustworthy information about the geographical origin of agricultural products. The mineral composition of agricultural products and its relation with their terroir has been shown to be a useful tool in differentiating commodities produced in a limited region and subjected to certain quality requirements. Cereja da Cova da Beira is the legal term used to denominate cherries produced in the Cova da Beira region (PGI - protected geographical indication) at central eastern part of Portugal, since 1996. In order to establish a methodology to certify its origin, the mineral profile of 'Sweetheart' cherry stone from Cereja da Cova da Beira , was studied. Quantification of major (Ca, Mg, K, P and Na) and minor elements (Cu, Fe Mn and Zn) of stones was carried out by inductively coupled plasma atomic emission spectrometry (ICP-AES). The results showed that, among major elements, Ca was the predominant mineral (1424.62 mg kg-1, dry weight), followed by K and Mg, presenting similar concentrations (1092.17 and 987.55 mg kg-1, respectively), P (271.10 mg kg-1), and Na (24.71 mg kg-1). Regarding micro elements, Mn showed the highest mean value (19.71 mg kg-1), followed by Fe (17.59 mg kg-1), and Cu and Zn with similar levels (7.61 and 6.73 mg kg-1, respectively). On the basis of chemometric pattern recognition procedures, the mineral content of agricultural products and its relation with their area of production can be a useful tool in differentiating commodities produced in a limited region and subjected to certain quality requirements.
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/publishedVersion
Access restrictions
restrictedAccess
Language
eng
Comments
