Evidence map›Paper›PMID 42388658›Full record

ArticleCurrent research in food science2026

Refinement and application of 12S

Feng Guan, Qingqing Hu, Siyu Yang, Shimeng Dai, Jian Ge, Xingjuan Hu

Abstract read
In one paragraph

Article in Current research in food science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Feng GuanCollege of Life Sciences, China Jiliang University, Hangzhou, Zhejiang, 310018, China.
Qingqing HuCollege of Life Sciences, China Jiliang University, Hangzhou, Zhejiang, 310018, China.
Siyu YangCollege of Life Sciences, China Jiliang University, Hangzhou, Zhejiang, 310018, China.
Shimeng DaiCollege of Education, Michigan State University, 620 Farm Ln, East Lansing, MI, 48824, USA.
Jian GeCollege of Life Sciences, China Jiliang University, Hangzhou, Zhejiang, 310018, China.
Xingjuan HuTechnology Center of Zhoushan Customs District, Zhoushan, Zhejiang, 316021, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fish balls, processed from fish surimi, are a popular seafood product that has become a focus of food adulteration monitoring. To reveal the ingredients in fish balls and ensure authenticity, a set of meta-barcoding primers targeting the 12S rRNA gene was designed and optimized using mixed DNA samples from fish, livestock, and poultry, which are common ingredients in fish ball production. PCR products were sequenced using Next-Generation Sequencing (NGS) technology to identify animal-derived species. The results demonstrated that the primers accurately identified all mixed ingredients in various proportions. Nine batches of commercial fish balls were analyzed for species composition using the designed primers. All samples contained multiple fish species, with two batches showing serious discrepancies between actual ingredients and labeling. In conclusion, the optimized 12S rRNA meta-barcoding primers effectively identified the ingredients in multi-species fish balls, offering a complementary DNA barcoding tool for market regulation and consumer protection.

Indexed as

12S rRNADNA meta-barcodingFish ballIngredients identificationSeafood

Identifiers

PMID42388658
PMCPMC13321375

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.