Evidence map›Paper›PMID 40004473›Full record

ArticleGenes2025

A Double-Gene Metabarcoding Approach for the Authentication of Shrimp Surimi-Based Products.

Jiajie Hu, Alice Giusti, Jixiang Zhang, Lara Tinacci, Chenyang Zhao, Xiaoguo Ying, Andrea Armani, Alessandra Guidi, Shanggui Deng

Abstract read
In one paragraph

Article in Genes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Refinement and application of 12SCurrent research in food science · 2026
    Article
  3. 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

9 authors.

Jiajie HuSchool of Food and Pharmacy, Zhejiang Ocean University, Zhoushan 316022, China.ORCID 0000-0002-0288-3439
Alice GiustiFishLab, Department of Veterinary Sciences, University of Pisa, 56124 Pisa, Italy.ORCID 0000-0001-9693-5721
Jixiang ZhangSchool of Food and Pharmacy, Zhejiang Ocean University, Zhoushan 316022, China.ORCID 0009-0002-7135-6197
Lara TinacciFishLab, Department of Veterinary Sciences, University of Pisa, 56124 Pisa, Italy.ORCID 0000-0002-0535-1155
Chenyang ZhaoSchool of Food and Pharmacy, Zhejiang Ocean University, Zhoushan 316022, China.
Xiaoguo YingSchool of Food and Pharmacy, Zhejiang Ocean University, Zhoushan 316022, China.
Andrea ArmaniFishLab, Department of Veterinary Sciences, University of Pisa, 56124 Pisa, Italy.ORCID 0000-0002-9614-2032
Alessandra GuidiFishLab, Department of Veterinary Sciences, University of Pisa, 56124 Pisa, Italy.ORCID 0000-0002-4690-4617
Shanggui DengSchool of Food and Pharmacy, Zhejiang Ocean University, Zhoushan 316022, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesShrimp surimi-based products (SSPs) are composed of minced shrimp meat and are highly susceptible to food fraud as fish surimi. This study employed a double-gene metabarcoding approach to authenticate SSPs sold on Chinese e-commerce platforms.

methods16S rRNA and 12S rRNA genes were amplified and sequenced from 24 SSPs. Mislabeling was evaluated based on the correspondence between the ingredients (only those of animal origin) reported on the products' labels and the molecular results.

resultsOverall, 87.50% of SSPs (21/24) were found to be mislabeled. The replacement of

conclusionsDNA metabarcoding has proven to be an effective tool for ingredient authentication in processed seafood.

Indexed as

DNA Barcoding, TaxonomicPenaeidaeAnimalsRNA, RibosomalRNA, Ribosomal, 16SSeafoodRNA, RibosomalRNA, ribosomal, 12SRNA, Ribosomal, 16Sfood authenticationfood fraudmetabarcodingshrimp surimi

Identifiers

PMID40004473
PMCPMC11855189

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.