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[Application of ICP-MS to Identify the Botanic Source of Characteristic Honey in South Yunnan].
Guang Pu Xue Yu Guang Pu Fen Xi ; 36(1): 262-7, 2016 Jan.
Article em Zh | MEDLINE | ID: mdl-27228779
ABSTRACT
By adopting inductively coupled plasma mass spectrometry (ICP-MS) combined with chemometric analysis technology, 23 kinds of minerals in four kinds of characteristic honey derived from Yunnan province were analyzed. The result showed that 21 kinds of mineral elements, namely Na, Mg, K, Ca, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Se, Sr, Mo, Cd, Sb, Ba, Tl and Pb, have significant differences among different varieties of honey. The results of principal component analysis (PCA) showed that the cumulative variance contribution rate of the first four main components reached 77.74%, seven kinds of elements (Mg, Ca, Mn, Co, Sr, Cd, Ba) from the first main component contained most of the honey information. Through the stepwise discriminant analysis, seven kinds of elements (Mg, K, Ca, Cr, Mn, Sr, Pb) were filtered. out and used to establish the discriminant function model, and the correct classification rates of the proposed model reached 90% and 86.7%, respectively, which showed elements contents could be effectively indicators to discriminate the four kinds characteristic honey in southern Yunnan Province. In view of all the honey samples were harvested from apiaries located at south Yunnan Province where have similar climate, soil and other environment conditions, the differences of the mineral elements contents for the honey samples mainly due to their corresponding nectariferous plant. Therefore, it is feasible to identify honey botanical source through the differences of mineral elements.
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Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Espectrometria de Massas / Mel Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: Zh Ano de publicação: 2016 Tipo de documento: Article
Buscar no Google
Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Espectrometria de Massas / Mel Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: Zh Ano de publicação: 2016 Tipo de documento: Article