Instituto de Ingeniería de Alimentos para el Desarrollo, Universitat Politècnica de València, Valencia, Spain.
Food Technology Departament, Universidade Rovuma, Nampula, Mozambique.
J Sci Food Agric. 2020 Jan 15;100(1):212-217. doi: 10.1002/jsfa.10022. Epub 2019 Oct 29.
The growing need to classify the origin of honey in a simple way is leading to the development of affordable analytical equipment that is in-line and manageable, enabling rapid on-site screening. The aim of this work was therefore to evaluate whether an electronic tongue (made of four metallic electrodes: Ir, Rh, Pt, Au), based on potential multistep pulse voltammetry with electrochemical polishing, is able to differentiate between honey samples from Spain, Honduras, and Mozambique.
It was demonstrated, for the first time, that automatic pulse voltammetry, in combination with principal component analysis (PCA) statistical analysis, was able to differentiate honey samples from these three countries. A partial least squares (PLS) analysis predicted the level of certain physicochemical parameters, the best results being for conductivity and moisture with correlation coefficients of 0.948 and 0.879, whereas the weakest correlation was for the sugars.
The tool proposed in this study could be applied to identify the country origin of the three types of multifloral honey considered here. It also offers promising perspectives for expanding knowledge of the provenance of honey. All of this could be achieved when a comprehensive database with the information generated by this electronic tongue has been created. © 2019 Society of Chemical Industry.
越来越需要以简单的方式对蜂蜜的产地进行分类，这促使人们开发出价格合理、可在线使用且易于管理的分析设备，以便能够快速进行现场筛选。因此，本研究的目的是评估基于电化学抛光的多步脉冲伏安法的四个金属电极（Ir、Rh、Pt、Au）组成的电子舌是否能够区分来自西班牙、洪都拉斯和莫桑比克的蜂蜜样品。
首次证明，自动脉冲伏安法结合主成分分析（PCA）统计分析能够区分来自这三个国家的蜂蜜样品。偏最小二乘（PLS）分析预测了某些物理化学参数的水平，其中电导率和水分的相关性最好，相关系数分别为 0.948 和 0.879，而糖的相关性最弱。
本研究中提出的工具可用于识别所考虑的三种混合花蜂蜜的产地。当创建一个包含该电子舌生成的信息的综合数据库时，它还为扩展对蜂蜜产地的了解提供了有前景的途径。
