Evidence map›Paper›PMID 39123573›Full record

ArticleFoods (Basel, Switzerland)2024

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

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

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Authentication of the Botanical Origin of Honey:Journal of agricultural and food chemistry · 2025
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Anna MottolaDepartment of Veterinary Medicine, University of Bari Aldo Moro, Prov. le Casamassima 62, Km 3, 70010 Valenzano, Italy.ORCID 0000-0002-6932-907X
Roberta PireddaDepartment of Veterinary Medicine, University of Bari Aldo Moro, Prov. le Casamassima 62, Km 3, 70010 Valenzano, Italy.ORCID 0000-0002-6672-439X
Lucilia LorussoDepartment of Veterinary Medicine, University of Bari Aldo Moro, Prov. le Casamassima 62, Km 3, 70010 Valenzano, Italy.ORCID 0000-0001-8297-3065
Lucia RanieriDepartment of Veterinary Medicine, University of Bari Aldo Moro, Prov. le Casamassima 62, Km 3, 70010 Valenzano, Italy.
Chiara IntermiteDepartment of Veterinary Medicine, University of Bari Aldo Moro, Prov. le Casamassima 62, Km 3, 70010 Valenzano, Italy.
Concettina BarresiLaboratory 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.
Carmela GalliLaboratory of Salerno, 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 Frà Giacomo Acquaviva n. 1, 84135 Salerno, Italy.
Angela Di PintoDepartment of Veterinary Medicine, University of Bari Aldo Moro, Prov. le Casamassima 62, Km 3, 70010 Valenzano, Italy.ORCID 0000-0001-7755-9724

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

dual-markerfood official controlsmulti-species productsNGSprimersseafood traceability

Identifiers

PMID39123573
PMCPMC11311639

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.