Tinacci Lara, Guidi Alessandra, Toto Andrea, Guardone Lisa, Giusti Alice, D'Amico Priscilla, Armani Andrea
FishLab, Department of Veterinary Sciences, University of Pisa.
Seafood quality manager, Florence, Italy.
Ital J Food Saf. 2018 Jul 3;7(2):6894. doi: 10.4081/ijfs.2018.6894.
Food Business Operators (FBOs) rely on laboratory analysis to ensure seafood traceability. DNA barcoding and Forensically Informative Nucleotide Sequencing may represent a support within self-checking programs finalized to suppliers' qualification and products identity certification. The present study aimed at verifying the usefulness of a decisional procedure (decision tree) set up at the FishLab (Department of Veterinary Sciences, University of Pisa, Italy) for seafood species identification by DNA analysis, to cope with FBOs' needs. The decision tree was applied to the analysis of 182 seafood (fish and molluscs) products, conferred to the FishLab by different FBOs between 2014 and 2015 as result of their self-checking activities. The analysis relied on a standard gene fragment eventually integrated by the analysis of alternative or supportive molecular targets ( and ). It also included a mini-DNA barcoding approach for processed products. Overall, 96.2% of the samples were unambiguously identified at species level using the elective target alone (92.4%) or a multi-target approach (3.8%). The lack of species identification (3.8%) was attributable to the absence of reference sequences or to the low resolution of the molecular targets. Nonetheless, all the molecular results were deemed adequate to evaluate the sample's compliance to the label information. Non-compliances were highlighted in 18.1% of the products. The protocol was proven as an effective supportive tool for the seafood identity verification within the supply chain self-checking activities. In addition, a considerable fraud rate was confirmed and the species most frequently involved in substitution were pointed out.
食品经营商(FBOs)依靠实验室分析来确保海鲜的可追溯性。DNA条形码技术和法医信息核苷酸测序可能是自我检查程序中的一种支持手段,该程序旨在对供应商进行资格鉴定和产品身份认证。本研究旨在验证由意大利比萨大学兽医学院鱼类实验室建立的一种决策程序(决策树)在通过DNA分析鉴定海鲜种类方面的实用性,以满足食品经营商的需求。该决策树应用于对182种海鲜(鱼类和贝类)产品的分析,这些产品是不同食品经营商在2014年至2015年期间作为其自我检查活动的结果提交给鱼类实验室的。分析依赖于一个标准基因片段,最终通过对替代或支持性分子靶点(和)的分析进行整合。它还包括一种针对加工产品的微型DNA条形码方法。总体而言,仅使用选择性靶点(92.4%)或多靶点方法(3.8%)就能在物种水平上明确鉴定96.2%的样本。无法进行物种鉴定(3.8%)是由于缺乏参考序列或分子靶点的分辨率较低。尽管如此,所有分子结果都被认为足以评估样本是否符合标签信息。18.1%的产品中发现了不符合规定的情况。该方案被证明是供应链自我检查活动中海鲜身份验证的有效支持工具。此外,确认了相当高的欺诈率,并指出了最常涉及替代的物种。