Prosser Sean W J, Hebert Paul D N
Centre for Biodiversity Genomics, Biodiversity Institute of Ontario, University of Guelph, 50 Stone Road East, Guelph, Ontario N1G 2W1, Canada.
Centre for Biodiversity Genomics, Biodiversity Institute of Ontario, University of Guelph, 50 Stone Road East, Guelph, Ontario N1G 2W1, Canada.
Food Chem. 2017 Jan 1;214:183-191. doi: 10.1016/j.foodchem.2016.07.077. Epub 2016 Jul 12.
Honey is generated by various bee species from diverse plants, and because the value of different types of honey varies more than 100-fold, it is a target for fraud. This paper describes a protocol that employs DNA metabarcoding of three gene regions (ITS2, rbcLa, and COI) to provide an inexpensive tool to simultaneously deliver information on the botanical and entomological origins of honey. This method was used to examine seven varieties of honey: light, medium, dark, blended, pasteurized, creamed, and meliponine. Plant and insect sources were identified in five samples, but only the botanical or insect source could be identified in the other two. Two samples were found to be misrepresented. Although this method was generally successful in determining both plant and insect sources, honeys rich in polyphenolic compounds or subject to crystallization were recalcitrant to analysis, so further research is required to combat honey adulteration and mislabeling.
蜂蜜由多种蜜蜂采集不同植物产生，由于不同类型蜂蜜的价值差异超过100倍，它成为了欺诈的目标。本文描述了一种方案，该方案利用三个基因区域（ITS2、rbcLa和COI）的DNA宏条形码技术，提供一种低成本工具，以同时提供有关蜂蜜植物和昆虫来源的信息。此方法用于检测七种蜂蜜品种：浅色、中等颜色、深色、混合、巴氏杀菌、奶油状和无刺蜂蜂蜜。在五个样本中鉴定出了植物和昆虫来源，但在另外两个样本中仅能鉴定出植物或昆虫来源。发现有两个样本存在误标情况。尽管该方法在确定植物和昆虫来源方面总体上是成功的，但富含多酚化合物或易结晶的蜂蜜难以分析，因此需要进一步研究以打击蜂蜜掺假和标签错误问题。
