Evidence map›Paper›PMID 41009530›Full record

ReviewInternational journal of molecular sciences2025

Mass Spectrometry-Based Proteomics for Seafood Allergen Detection and Quantification: Current Trends and Technological Frontiers.

Manuel G Amado, Manuel Pazos, Mónica Carrera

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
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

3 authors.

Manuel G AmadoDepartment of Food Technology, Spanish National Research Council (CSIC), Institute of Marine Research (IIM-CSIC), 36208 Vigo, Spain.
Manuel PazosDepartment of Food Technology, Spanish National Research Council (CSIC), Institute of Marine Research (IIM-CSIC), 36208 Vigo, Spain.ORCID 0000-0003-1571-5730
Mónica CarreraDepartment of Food Technology, Spanish National Research Council (CSIC), Institute of Marine Research (IIM-CSIC), 36208 Vigo, Spain.ORCID 0000-0003-2973-449X

Funding

Plan Complementario de Ciencias Mariñas, founded by the Spanish Ministry of Science and Innovation (3.6.B. NANOSEAOMICS). ACAM 2022020038
6 · The paper itself

Abstract

Food allergy is a growing global health concern, with seafood representing one of the most significant sources of allergic reactions. The primary allergens responsible for fish and shellfish allergies are β-parvalbumins and tropomyosin, respectively. Therefore, ensuring food safety requires precise and reliable methods for the detection and quantification of these molecules. Traditional approaches, such as ELISA and PCR, have notable limitations in terms of specificity, sensitivity, and multiplexing capabilities. In contrast, liquid chromatography coupled with mass spectrometry (LC-MS) has emerged over the past decade as a powerful alternative, offering enhanced accuracy and analytical depth. Various LC-MS-based strategies have been developed for the identification and quantification of seafood allergens, contributing to improved allergen monitoring and risk assessment. Nevertheless, the routine implementation of these methods in analytical laboratories still faces several challenges, including high equipment costs, complex workflows, and the need for standardized reference materials and protocols. Continued technological advances and validation efforts are necessary to overcome these barriers and to integrate LC-MS-based techniques into routine food allergen testing.

Indexed as

AllergensFood HypersensitivityMass SpectrometryProteomicsSeafoodAnimalsChromatography, LiquidHumansAllergensallergendetectionfood safetymass spectrometryparvalbuminquantificationseafoodtropomyosin

Identifiers

PMID41009530
PMCPMC12469509

What OpenQuestion holds

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LicenceCC BY
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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.