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

doi:10.1007/s40242-019-8321-4

Chemical Research in Chinese Universities ›› 2019, Vol. 35 ›› Issue (3): 390-394.doi: 10.1007/s40242-019-8321-4

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

ZHANG Xiaohua¹, ZHANG Suya¹, QING Xiangdong², LU Zuokun¹

1. Key Laboratory of Biomarker Based Rapid-detection Technology for Food Safety of Henan Province, Food and Bioengineering College, Xuchang University, Xuchang 461000, P. R. China;
2. Hunan Provincial Key Laboratory of Fine Ceramics and Powder Materials, School of Materials and Environmental Engineering, Hunan University of Humanities, Science and Technology, Loudi 417000, P. R. China

Received:2018-09-30 Revised:2019-01-25 Online:2019-06-01 Published:2019-03-27
Contact: ZHANG Xiaohua, QING Xiangdong E-mail:12016020@xcu.edu.cn;xdqing123@hnu.edu.cn
Supported by:
Supported by the National Natural Science Foundation of China(Nos. 31701689, 21707032).

Abstract

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.

Key words: Honey, Simple cluster analysis, Geographical origin, Botanical origin, Adulteration

ZHANG Xiaohua, ZHANG Suya, QING Xiangdong, LU Zuokun. A New Strategy for Rapid Classification of Honeys by Simple Cluster Analysis Method Based on Combination of Various Physicochemical Parameters[J]. Chemical Research in Chinese Universities, 2019, 35(3): 390-394.

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

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