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A New Strategy for Rapid Classification of Honeys by Simple Cluster Analysis Method Based on Combination of Various Physicochemical Parameters

  • Xiaohua ZhangEmail author
  • Suya Zhang
  • Xiangdong QingEmail author
  • Zuokun Lu
Article
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Abstract

An array of real honey samples from 3 different botanical origins and 4 provinces of China, as well as two honeys with common adulterants[white sugar and high fructose corn syrup(HFCS)], were analyzed with a new strategy of “simple cluster analysis” based on physicochemical parameters of honey. The results showed that the physicochemical parameters varied greatly for different honey samples. For example, the minimum conductivity of honey samples was less than 1/17 of the maximum value. Therefore, the physicochemical parameters could be used to distinguish different types of honey. The results are promising, as different kinds of testing honey were successfully discriminated into different groups, allowing us to verify the authenticity of honeys. Furthermore, this approach was followed to successfully analyze two honeys with common adulterants which are difficult to be identified when they are mixed with true honeys. The results indicated the accuracy and reliability of the proposed strategy, and provided more references for the quality classification of honeys.

Keywords

Honey Simple cluster analysis Geographical origin Botanical origin Adulteration 

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Copyright information

© Jilin University, The Editorial Department of Chemical Research in Chinese Universities and Springer-Verlag GmbH 2019

Authors and Affiliations

  1. 1.Key Laboratory of Biomarker Based Rapid-detection Technology for Food Safety of Henan Province, Food and Bioengineering CollegeXuchang UniversityXuchangP. R. China
  2. 2.Hunan Provincial Key Laboratory of Fine Ceramics and Powder Materials, School of Materials and Environmental EngineeringHunan University of Humanities, Science and TechnologyLoudiP. R. China

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