Evidence map›Paper›PMID 41859364›Full record

ArticleFood chemistry. Molecular sciences2026

A validated DNA metabarcoding approach for routine authentication of processed bivalves.

Julia Andronache, Stefanie Dobrovolny, Rupert Hochegger, Margit Cichna-Markl

Abstract read
In one paragraph

Article in Food chemistry. Molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Julia AndronacheAustrian Agency for Health and Food Safety (AGES), Institute for Food Safety, Department for Molecular Biology and Microbiology, Spargelfeldstraße 191, 1220 Vienna, Austria.
Stefanie DobrovolnyAustrian Agency for Health and Food Safety (AGES), Institute for Food Safety, Department for Molecular Biology and Microbiology, Spargelfeldstraße 191, 1220 Vienna, Austria.
Rupert HocheggerAustrian Agency for Health and Food Safety (AGES), Institute for Food Safety, Department for Molecular Biology and Microbiology, Spargelfeldstraße 191, 1220 Vienna, Austria.
Margit Cichna-MarklUniversity of Vienna, Faculty of Chemistry, Institute of Analytical Chemistry, Währinger Straße 38, 1090 Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Species mislabeling in commercial bivalves represents a growing concern for food authenticity. Given the diversity of traded bivalves, broad taxonomic coverage is essential for untargeted screening. To address this challenge, we developed and validated a DNA metabarcoding approach employing two PCR assays, a singleplex and a duplex, to amplify mitochondrial 16S rDNA fragments (160-203 bp) across seven families: Ostreidae, Pectinidae, Mytilidae, Pharidae, Veneridae, Glycymerididae, and Cardiidae. Taxa were identified at the species or genus level in 38 reference samples and four model food samples, with individual species detected at concentrations as low as 0.008-0.014% (w/w). All main and most minor components were detected in 40 DNA extract mixtures, with few false negatives, presumably resulting from primer-template mismatches causing amplification bias. A total of 70 commercial food products were analyzed. Considering both species substitution and adulteration, 29% of samples were determined to be mislabeled, with scallops being the most frequently affected family. These results highlight the method's utility for detecting species substitution and adulteration. This study presents the first DNA metabarcoding method targeting a broad taxonomic range of bivalves. The validated approach is well-suited for qualitative screening in routine food authentication and can support laboratories and regulatory agencies in enforcing international monitoring strategies.

Indexed as

BivalvesDNA metabarcodingFood authenticationNext-generation sequencingSeafood

Identifiers

PMID41859364
PMCPMC12996685

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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.