Evidence map›Paper›PMID 39911908›Full record

ArticleFood chemistry. Molecular sciences2025

A universal DNA microarray for rapid fish species authentication.

Patrizia Bade, Sebastian Stix, Kristina Kappel, Jan Fritsche, Ilka Haase, Andrew Torda, Nils Wax, Markus Fischer, Dirk Brandis, Ute Schröder

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Food chemistry. Molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

10 authors.

Patrizia BadeNational Reference Centre for Authentic Food, Max Rubner-Institut (MRI), Hermann-Weigmann-Str. 1, 24103 Kiel, Germany.
Sebastian StixDepartment of Safety and Quality of Milk and Fish Products, Max Rubner-Institut (MRI), Hermann-Weigmann-Str. 1, 24103 Kiel, Germany.
Kristina KappelNational Reference Centre for Authentic Food, Max Rubner-Institut (MRI), Hermann-Weigmann-Str. 1, 24103 Kiel, Germany.
Jan FritscheDepartment of Safety and Quality of Milk and Fish Products, Max Rubner-Institut (MRI), Hermann-Weigmann-Str. 1, 24103 Kiel, Germany.
Ilka HaaseNational Reference Centre for Authentic Food, Max Rubner-Institut (MRI), E.-C.-Baumann-Str. 20, 95326 Kulmbach, Germany.
Andrew TordaCentre for Bioinformatics, University of Hamburg, Albert-Einstein-Ring 8, 22761 Hamburg, Germany.
Nils WaxHamburg School of Food Science, Institute of Food Chemistry, University of Hamburg, Grindelallee 117, 20146 Hamburg, Germany.
Markus FischerHamburg School of Food Science, Institute of Food Chemistry, University of Hamburg, Grindelallee 117, 20146 Hamburg, Germany.
Dirk BrandisZoological Museum of the University of Kiel, Hegewischstraße 3, 24105 Kiel, Germany.
Ute SchröderDepartment of Safety and Quality of Milk and Fish Products, Max Rubner-Institut (MRI), Hermann-Weigmann-Str. 1, 24103 Kiel, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA microarrays are now used in fields such as gene expression analysis, pathogen/virus detection and identification of biomarkers. Although they have been used in the food sector for species identification, they detect a limited number of species and are thus less suited for fishery products due to the large variety of traded species. Here, the aim of this proof-of-principle study was to design a universal DNA microarray that should be able to distinguish all fish species by comparing hybridization signal patterns from samples with patterns obtained from reference specimens. A universal set of 100 DNA probes (based on the genetic marker genes 16S ribosomal RNA and cytochrome

Indexed as

DNA chipDNA hybridizationFood fraudIn silicoScreening methodUniversal DNA probes

Identifiers

PMID39911908
PMCPMC11795077

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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.