Evidence map›Paper›PMID 42737370›Full record

ArticleFoods (Basel, Switzerland)2026

Sensory and Nutritional Profiling of Commercial Mussels (

Martina Magnani, Antonina De Marco, Matilde Cella, Asia Ferretti, Davide Nordio, Elisa Benini, Rais Urbini, Marina Silvi, Pier Paolo Gatta, Alessio Bonaldo

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 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

10 authors.

Martina MagnaniDepartment of Veterinary Medical Sciences, University of Bologna, Via Tolara di Sopra 50, Ozzano Emilia, 40064 Bologna, Italy.ORCID 0009-0006-8612-8401
Antonina De MarcoDepartment of Veterinary Medical Sciences, University of Bologna, Via Tolara di Sopra 50, Ozzano Emilia, 40064 Bologna, Italy.ORCID 0000-0002-3103-2625
Matilde CellaDepartment of Veterinary Medical Sciences, University of Bologna, Via Tolara di Sopra 50, Ozzano Emilia, 40064 Bologna, Italy.
Asia FerrettiDepartment of Veterinary Medical Sciences, University of Bologna, Via Tolara di Sopra 50, Ozzano Emilia, 40064 Bologna, Italy.
Davide NordioDepartment of Veterinary Medical Sciences, University of Bologna, Via Tolara di Sopra 50, Ozzano Emilia, 40064 Bologna, Italy.
Elisa BeniniDepartment of Veterinary Medical Sciences, University of Bologna, Via Tolara di Sopra 50, Ozzano Emilia, 40064 Bologna, Italy.ORCID 0000-0003-1562-2040
Rais UrbiniDepartment of Veterinary Medical Sciences, University of Bologna, Via Tolara di Sopra 50, Ozzano Emilia, 40064 Bologna, Italy.
Marina SilviDepartment of Veterinary Medical Sciences, University of Bologna, Via Tolara di Sopra 50, Ozzano Emilia, 40064 Bologna, Italy.
Pier Paolo GattaDepartment of Veterinary Medical Sciences, University of Bologna, Via Tolara di Sopra 50, Ozzano Emilia, 40064 Bologna, Italy.
Alessio BonaldoDepartment of Veterinary Medical Sciences, University of Bologna, Via Tolara di Sopra 50, Ozzano Emilia, 40064 Bologna, Italy.

Funding

European Union's Horizon2020 Research and Innovation 817992
6 · The paper itself

Abstract

Mussels are a nutritionally valuable and environmentally sustainable seafood, yet how geographical origin and farming environment shape their sensory and nutritional quality remains insufficiently characterized across European production contexts. This study compared mussels from three contrasting European farming areas, Ireland (

Indexed as

amino acid profilebivalve aquaculturefatty acidsmarine terroirQuantitative Descriptive Analysisumami taste

Identifiers

PMID42737370
PMCPMC13564763

What OpenQuestion holds

Textmetadata
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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.