Recent advances in analytical techniques for the detection of adulteration and authenticity of bee products – A review

ABSTRACT

Bee products have been considered as functional foods for a long time in China because of their wide range of biological activity. China has the largest number of bee colonies and the highest production of bee products in the world. Major bee products include honey, royal jelly, propolis and bee pollen. In recent years, consumption of bee products in China has been increasing due to an increased public awareness of their nutritional and health benefits. With the development of the Chinese economy and the improvement of people’s living standards, high-end and gift-oriented products have become more popular and bee products are one of the options. However, the production of bee products cannot increase rapidly in short term and this is a driver for substantial economic-motivated adulteration. This is compounded by globalisation of supply chains which has also resulted in a rise in bee products fraud. These illicit products are eroding market prices and consumer trust, causing significant damage to the beekeeping industry. In order to provide information or solutions for regulators and consumers, in this article, we review he characteristics of bee products in China and the current situation regarding adulteration and authenticity of bee products. Moreover, advances in analytical techniques for detection of adulteration and authenticity of bee products including sensory techniques, DNA methods, isotope ratio mass spectrometry, spectroscopic techniques and mass spectrometry are reviewed. Finally, the applications and limitations of analytical methods in authentication are critically assessed. Suggestions are also put forward for the future management of China’s bee products industry.

KEYWORDS:

• Bee products
• adulteration
• food authentication
• geographical origin
• botanical origin
• analytical methods

Disclosure statement

The authors declare no competing financial interest.

Additional information

Funding

This work was supported by the Basic Research Program of Shenzhen Municipal Government [JCYJ20180305125139107, JCYJ201708180934429961, JCYJ20200109114242138]; the National Natural Science Foundation of China [22078198]; the Natural Science Foundation of Guangdong Province [2017A030313046]; the Hunan Science and Technology Project [2017XK2020]; the Xiaoxiang Scholar Distinguished Professor Fund of Hunan Normal University, the National Thousand Young Talents Program and the Hunan Hundred Talents Program.