Engineering Research Center of Bio-Process, MOE, School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China.
Product Quality Supervision and Inspection Research Institute of Anhui Province, Hefei 230009, China.
Biosensors (Basel). 2022 Nov 4;12(11):971. doi: 10.3390/bios12110971.
Honey is a natural product and is heavily consumed for its well-known nutritional functions. Honeys with different floral origins possess distinctive flavors, tastes, functions and economic values. It is vital to establish an effective strategy for identifying the authenticity of honey. The intrinsic genetic materials of pollen were adopted as target analytes for the effective identification of honey with floral origins. With an optimized protocol for the rapid gene extraction from honey, target genetic templates were amplified on-site with a portable device. Conveniently, all on-site amplified functional products were easily judged by the designed lateral flow strip (LFS), which was defined as the molecular LFS in this research. Additionally, the entire on-site genetic authentication of honey was completed in less than 2 h by visual observation. Commercial honey products have been successfully identified with excellent accuracy. This low-cost, high-efficiency and easy-operational strategy will greatly benefit the quality guarantee of foods with specific functions and geographical markers.
蜂蜜是一种天然产物，因其众所周知的营养价值而被大量消费。不同花源的蜂蜜具有独特的风味、口感、功能和经济价值。建立一种有效的方法来识别蜂蜜的真实性至关重要。花粉的内在遗传物质被用作鉴定花源蜂蜜的目标分析物。通过优化的从蜂蜜中快速提取基因的方案，可以在现场使用便携式设备扩增目标遗传模板。方便的是，所有现场扩增的功能产物都可以通过设计的横向流动条（LFS）轻松判断，在本研究中被定义为分子 LFS。此外，通过肉眼观察，整个现场遗传鉴定蜂蜜的过程不到 2 小时即可完成。商业蜂蜜产品的鉴定结果具有极好的准确性。这种低成本、高效率和易于操作的策略将极大地有利于具有特定功能和地理标志的食品的质量保证。
