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[电感耦合等离子体质谱法在滇南特色蜂蜜植物源鉴定中的应用]

[Application of ICP-MS to Identify the Botanic Source of Characteristic Honey in South Yunnan].

作者信息

Wei Yue, Chen Fang, Wang Yong, Chen Lan-zhen, Zhang Xue-wen, Wang Yan-hui, Wu Li-ming, Zhou Qun

出版信息

Guang Pu Xue Yu Guang Pu Fen Xi. 2016 Jan;36(1):262-7.

PMID: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.

摘要

采用电感耦合等离子体质谱法(ICP-MS)结合化学计量学分析技术,对云南产4种特色蜂蜜中的23种矿物质进行了分析。结果表明,Na、Mg、K、Ca、V、Cr、Mn、Fe、Co、Ni、Cu、Zn、As、Se、Sr、Mo、Cd、Sb、Ba、Tl和Pb这21种矿质元素在不同品种蜂蜜之间存在显著差异。主成分分析(PCA)结果表明,前四个主成分的累积方差贡献率达到77.74%,第一主成分中的七种元素(Mg、Ca、Mn、Co、Sr、Cd、Ba)包含了大部分蜂蜜信息。通过逐步判别分析,筛选出七种元素(Mg、K、Ca、Cr、Mn、Sr、Pb)并用于建立判别函数模型,所建模型的正确分类率分别达到90%和86.7%,表明元素含量可作为判别滇南4种特色蜂蜜的有效指标。鉴于所有蜂蜜样品均采自滇南气候、土壤等环境条件相似的蜂场,蜂蜜样品矿质元素含量的差异主要源于其对应的蜜源植物。因此,通过矿质元素差异鉴定蜂蜜植物源是可行的。

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