Gorini Tommaso, Mezzasalma Valerio, Deligia Marta, De Mattia Fabrizio, Campone Luca, Labra Massimo, Frigerio Jessica
FEM2-Ambiente, Piazza della Scienza 2, 20126 Milano, Italy.
Department of Scienze Agrarie, Forestali e Alimentari, University of Turin, Via Verdi 8, 10124 Torino, Italy.
Foods. 2023 Jun 16;12(12):2392. doi: 10.3390/foods12122392.
The molecular approach of DNA barcoding for the characterization and traceability of food products has come into common use in many European countries. However, it is important to address and solve technical and scientific issues such as the efficiency of the barcode sequences and DNA extraction methods to be able to analyze all the products that the food sector offers. The goal of this study is to collect the most defrauded and common food products and identify better workflows for species identification. A total of 212 specimens were collected in collaboration with 38 companies belonging to 5 different fields: seafood, botanicals, agrifood, spices, and probiotics. For all the typologies of specimens, the most suitable workflow was defined, and three species-specific primer pairs for fish were also designed. Results showed that 21.2% of the analyzed products were defrauded. A total of 88.2% of specimens were correctly identified by DNA barcoding analysis. Botanicals (28.8%) have the highest number of non-conformances, followed by spices (28.5%), agrifood (23.5%), seafood (11.4%), and probiotics (7.7%). DNA barcoding and mini-barcoding are confirmed as fast and reliable methods for ensuring quality and safety in the food field.
DNA条形码的分子方法用于食品产品的特征描述和可追溯性,已在许多欧洲国家普遍使用。然而,解决技术和科学问题很重要,如条形码序列的效率和DNA提取方法,以便能够分析食品部门提供的所有产品。本研究的目的是收集欺诈最严重和最常见的食品,并确定更好的物种鉴定工作流程。与属于5个不同领域的38家公司合作,共收集了212个样本:海鲜、植物性食品、农产品、香料和益生菌。针对所有样本类型,定义了最合适的工作流程,还设计了三对鱼类物种特异性引物对。结果表明,21.2%的分析产品存在欺诈行为。通过DNA条形码分析,88.2%的样本被正确鉴定。植物性食品(28.8%)的不合格数量最多,其次是香料(28.5%)、农产品(23.5%)、海鲜(11.4%)和益生菌(7.7%)。DNA条形码和微型条形码被确认为确保食品领域质量和安全的快速可靠方法。