Multi-Element Analysis of Spanish Date Palm (Phoenix dactylifera L.) by Inductively Coupled Plasma-Based Techniques. Discrimination Using Multivariate Statistical Analysis
Contribuinte(s) |
Universidad de Alicante. Departamento de Química Analítica, Nutrición y Bromatología Espectrometría Atómica Analítica |
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Data(s) |
17/02/2016
17/02/2016
01/05/2015
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Resumo |
The elemental analysis of Spanish palm dates by inductively coupled plasma atomic emission spectrometry and inductively coupled plasma mass spectrometry is reported for the first time. To complete the information about the mineral composition of the samples, C, H, and N are determined by elemental analysis. Dates from Israel, Tunisia, Saudi Arabia, Algeria and Iran have also been analyzed. The elemental composition have been used in multivariate statistical analysis to discriminate the dates according to its geographical origin. A total of 23 elements (As, Ba, C, Ca, Cd, Co, Cr, Cu, Fe, H, In, K, Li, Mg, Mn, N, Na, Ni, Pb, Se, Sr, V, and Zn) at concentrations from major to ultra-trace levels have been determined in 13 date samples (flesh and seeds). A careful inspection of the results indicate that Spanish samples show higher concentrations of Cd, Co, Cr, and Ni than the remaining ones. Multivariate statistical analysis of the obtained results, both in flesh and seed, indicate that the proposed approach can be successfully applied to discriminate the Spanish date samples from the rest of the samples tested. |
Identificador |
Food Analytical Methods. 2015, 8(5): 1268-1278. doi:10.1007/s12161-014-0011-8 1936-9751 (Print) 1936-976X (Online) http://hdl.handle.net/10045/53189 10.1007/s12161-014-0011-8 |
Idioma(s) |
eng |
Publicador |
Springer Science+Business Media New York |
Relação |
http://dx.doi.org/10.1007/s12161-014-0011-8 |
Direitos |
© Springer Science+Business Media New York 2014. The final publication is available at Springer via http://dx.doi.org/10.1007/s12161-014-0011-8 info:eu-repo/semantics/openAccess |
Palavras-Chave | #Date palm #Elemental composition #ICP-AES #ICP-MS #Multivariate analysis #Origin classification #Química Analítica |
Tipo |
info:eu-repo/semantics/article |