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基于矿物元素化学计量学分析的蜂蜜和糖浆掺假鉴别。

Discrimination of honey and syrup-based adulteration by mineral element chemometrics profiling.

机构信息

School of Life Sciences, Nanchang University, Nanchang 330031, China.

Ganzhou Customs, Ganzhou 341000, China.

出版信息

Food Chem. 2021 May 1;343:128455. doi: 10.1016/j.foodchem.2020.128455. Epub 2020 Oct 24.

DOI:10.1016/j.foodchem.2020.128455
PMID:33129616
Abstract

Mineral elements are important constituents in honey, which play vital roles in determining the quality and authenticity. The present work aims to systematically estimate the mineral profile of honeys, syrups, and adulterated honeys by syrup directly with chemometrics. Twelve mineral elements with higher contents were determined by ICP-OES in 67 honeys from 6 botanical origins, 17 syrups from 3 types, and 61 adulterations. Statistical analysis revealed honey was significantly different and higher than pale syrup in mineral profile except for barium. Five mono-floral models were established based on chemometrics analysis using the sPLS-DA method, and their discrimination accuracy were over 93% Although mineral contents in honeys from different botanical and geographical origins were quite different, the multi-floral model's classify accuracy was 87.7% as well as in blind test. The results revealed that mineral element chemometrics profiling can be a stable and robust tool to differentiate adulterated honey from pure honey.

摘要

矿物质元素是蜂蜜的重要组成部分,对确定蜂蜜的质量和真实性起着至关重要的作用。本工作旨在采用化学计量学方法,直接对蜂蜜、糖浆和掺假糖浆中的矿物质进行系统评估。在 67 种来自 6 种植物来源的蜂蜜、17 种来自 3 种类型的糖浆和 61 种掺假品中,通过 ICP-OES 测定了 12 种含量较高的矿物质元素。统计分析表明,除钡外,蜂蜜的矿物质组成与淡糖浆有显著差异,且高于淡糖浆。基于 sPLS-DA 方法的化学计量学分析,建立了 5 种单花种模型,其判别准确率均在 93%以上。尽管不同植物来源和地理来源的蜂蜜中的矿物质含量差异很大,但多花种模型的分类准确率也达到了 87.7%,且在盲测中也得到了验证。结果表明,矿物质元素化学计量特征图谱分析可作为一种稳定而强大的工具,用于区分掺假蜂蜜和纯蜂蜜。

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