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对埃塞俄比亚阿姆哈拉地区蜂蜜进行多元素分析,以评估其质量、环境污染生物标志物和地理来源的判别。

Multi-element Analysis of Honey from Amhara Region-Ethiopia for Quality, Bioindicator of Environmental Pollution, and Geographical Origin Discrimination.

机构信息

Department of Chemistry, College of Science, Bahir Dar University, P.O. Box 79, Bahir Dar, Ethiopia.

Department of Chemistry, College of Natural Science, Debre Tabor University, P.O. Box 272, Debre Tabor, Ethiopia.

出版信息

Biol Trace Elem Res. 2022 Dec;200(12):5283-5297. doi: 10.1007/s12011-021-03088-0. Epub 2022 Jan 8.

Abstract

Honey is a widely utilized sweetener containing mainly sugars with many other minor ingredients such as metallic elements. The analysis aimed to develop a chemometric model for tracing the geographical origin, evaluating nutritional quality, assessing pollution effect, and searching for marker metals for the region's honey. Forty-seven honey samples were collected directly from the apiarists at seven administrative zones. The contents of 14 metals were analyzed using inductively coupled plasma optical emission spectrometry after standard sample digestion. The findings showed us the major elements ranged from 24.8 to 1996 mg/kg of the honey sample with K > Ca > Na > Mg. The minimum and maximum values for the trace metals were 2.35 mg/kg and 163 mg/kg, respectively, in the order of Fe > Cr > Zn > Ni > Mn > Cu > Co. From this data, the region's honey has its own contribution as a source of major and trace elements. Furthermore, mean values for the toxic heavy metals were 0.57 to 1.85 for Pb, 1.03 to 1.21 for Cd, and 2.85 to 6.21 for As in mg/kg. Thus, the pollution level in the environment seems to be at an alarming rate. Using principal components analysis (PCA), the first four principal components explained 80.16% of the total variation. The region's honey was best classified into five major clusters using linear discriminant analysis (LDA) with an average discrimination power of 89.91%. The LDA sorting model was verified by the cross-validation method. The verification revealed that the model has 92.11% recognition power and 93.33% prediction ability.

摘要

蜂蜜是一种广泛使用的甜味剂,主要含有糖,还有许多其他微量成分,如金属元素。本分析旨在为该地区的蜂蜜建立一个化学计量模型,用于追踪其地理来源、评估其营养质量、评估污染影响以及寻找标记金属。从七个行政区域的养蜂人那里直接采集了 47 个蜂蜜样本。将标准样品消化后,使用电感耦合等离子体光学发射光谱法分析了 14 种金属的含量。结果表明,主要元素的范围为每千克蜂蜜样品 24.8 至 1996 毫克,其中 K>Ca>Na>Mg。痕量金属的最小值和最大值分别为 2.35 毫克/千克和 163 毫克/千克,顺序为 Fe>Cr>Zn>Ni>Mn>Cu>Co。根据这些数据,该地区的蜂蜜是主要和微量元素的重要来源。此外,该地区蜂蜜中 Pb、Cd 和 As 的平均含量分别为 0.57 至 1.85、1.03 至 1.21 和 2.85 至 6.21 毫克/千克,属于有毒重金属。因此,环境中的污染水平似乎令人担忧。主成分分析(PCA)表明,前四个主成分解释了总变异的 80.16%。线性判别分析(LDA)将该地区的蜂蜜最好分为五个主要聚类,平均判别能力为 89.91%。LDA 分类模型通过交叉验证法进行了验证。验证结果表明,该模型的识别能力为 92.11%,预测能力为 93.33%。

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