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解码海鲜:用于认证加工海鲜的多标记元条形码技术

Decoding Seafood: Multi-Marker Metabarcoding for Authenticating Processed Seafood.

作者信息

Mottola Anna, Piredda Roberta, Lorusso Lucilia, Ranieri Lucia, Intermite Chiara, Barresi Concettina, Galli Carmela, Di Pinto Angela

机构信息

Department of Veterinary Medicine, University of Bari Aldo Moro, Prov. le Casamassima 62, Km 3, 70010 Valenzano, Italy.

Laboratory of Modena, Department of Central Inspectorate for Fraud Repression and Quality Protection of the Agri-Food Products and Foodstuffs, Ministry of Agriculture, Food Sovereignty and Forests (ICQRF-MASAF), Via Domenico Cucchiari, 12, 41124 Modena, Italy.

出版信息

Foods. 2024 Jul 27;13(15):2382. doi: 10.3390/foods13152382.

DOI:10.3390/foods13152382
PMID:39123573
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11311639/
Abstract

Given the recognized nutritional value of fish and shifting consumer lifestyles, processed seafood has become increasingly prevalent, comprising a significant portion of global food production. Although current European Union labeling regulations do not require species declaration for these products, food business operators often voluntarily provide this information on ingredient lists. Next Generation Sequencing (NGS) approaches are currently the most effective methods for verifying the accuracy of species declarations on processed seafood labels. This study examined the species composition of 20 processed seafood products, each labeled as containing a single species, using two DNA metabarcoding markers targeting the mitochondrial cytochrome c oxidase I (COI) and 16S rRNA genes. The combined use of these markers revealed that the majority of the products contained multiple species. Furthermore, two products were found to be mislabeled, as the declared species were not detected. These findings underscore that NGS is a robust technique that could be adopted to support routine food industry activities and official control programs, thereby enhancing the 'From Boat to Plate' strategy and combating fraudulent practices in the complex fisheries supply chain.

摘要

鉴于鱼类公认的营养价值以及消费者生活方式的转变,加工海产品越来越普遍,在全球食品生产中占很大一部分。尽管目前欧盟的标签法规不要求对这些产品进行物种声明,但食品企业经营者通常会在成分列表中自愿提供此信息。下一代测序(NGS)方法是目前验证加工海产品标签上物种声明准确性的最有效方法。本研究使用针对线粒体细胞色素c氧化酶I(COI)和16S rRNA基因的两种DNA宏条形码标记,检测了20种加工海产品的物种组成,每种产品标签上都标明含有单一物种。这些标记的联合使用表明,大多数产品含有多种物种。此外,发现两种产品标签有误,因为未检测到声明的物种。这些发现强调,NGS是一种强大的技术,可用于支持食品行业的日常活动和官方控制计划,从而加强“从渔船到餐桌”战略,并打击复杂渔业供应链中的欺诈行为。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fed/11311639/5b45b54e0b73/foods-13-02382-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fed/11311639/4e30e4c326be/foods-13-02382-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fed/11311639/5b45b54e0b73/foods-13-02382-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fed/11311639/4e30e4c326be/foods-13-02382-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fed/11311639/5b45b54e0b73/foods-13-02382-g002.jpg

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