Evidence map›Paper›PMID 31683903›Full record

ArticleFoods (Basel, Switzerland)2019

Swordfish or Shark Slice? A Rapid Response by COIBar-RFLP.

Venera Ferrito, Alessandra Raffa, Luana Rossitto, Concetta Federico, Salvatore Saccone, Anna Maria Pappalardo

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Bioinformatics Approach to Mitigate Mislabeling in EU Seafood Market and Protect Consumer Health.International journal of environmental research and public health · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. 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

6 authors.

Venera FerritoDepartment of Biological, Geological and Environmental Sciences, Section of Animal Biology "M. La Greca", University of Catania, Via Androne 81, 95124 Catania, Italy. vferrito@unict.it.
Alessandra RaffaDepartment of Biological, Geological and Environmental Sciences, Section of Animal Biology "M. La Greca", University of Catania, Via Androne 81, 95124 Catania, Italy. alessandra.raffa92@gmail.com.
Luana RossittoDepartment of Biological, Geological and Environmental Sciences, Section of Animal Biology "M. La Greca", University of Catania, Via Androne 81, 95124 Catania, Italy. lunarossa92@gmail.com.
Concetta FedericoDepartment of Biological, Geological and Environmental Sciences, Section of Animal Biology "M. La Greca", University of Catania, Via Androne 81, 95124 Catania, Italy. federico@unict.it.
Salvatore SacconeDepartment of Biological, Geological and Environmental Sciences, Section of Animal Biology "M. La Greca", University of Catania, Via Androne 81, 95124 Catania, Italy. saccosal@unict.it.
Anna Maria PappalardoDepartment of Biological, Geological and Environmental Sciences, Section of Animal Biology "M. La Greca", University of Catania, Via Androne 81, 95124 Catania, Italy. pappalam@unict.it.

Funding

Università di Catania 22722132134
6 · The paper itself

Abstract

Market transparency is in strong demand by consumers, and the authentication of species is an important step for seafood traceability. In this study, a simple molecular strategy, COIBar-RFLP (cytochrome oxidase I barcode-restriction fragment length polymorphism), is proposed to unveil commercial fraud based on the practice of species substitution in the swordfish trade. In particular, COI barcoding allowed the identification of the species

Indexed as

COIBar–RFLP (cytochrome oxidase I barcode–restriction fragment length polymorphism)DNA barcodingfood authenticityfraudseafood

Identifiers

PMID31683903
PMCPMC6915651

What OpenQuestion holds

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Registered trials

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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.