Evidence map›Paper›PMID 42587850›Full record

ReviewFoods (Basel, Switzerland)2026

Current Analytical Methods and Recent Advances in Histamine Analysis in Fish and Fish Products: A Systematic Review.

Miguel Henares, Doaa Abouelenein, Lene Duedahl-Olesen, Maribel Gómez-Gómez, Amadeu Griol, Isabel Fernández-Segovia, Ana Fuentes, José Manuel Barat

Abstract readReview
In one paragraph

Review 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

8 authors.

Miguel HenaresUniversity Institute of Food Engineering-FoodUPV, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.ORCID 0009-0008-4165-0508
Doaa AboueleneinResearch Group for Analytical Food Chemistry, National Food Institute, Technical University of Denmark (DTU), Kemitorvet 202, DK-2800 Lyngby, Denmark.
Lene Duedahl-OlesenResearch Group for Analytical Food Chemistry, National Food Institute, Technical University of Denmark (DTU), Kemitorvet 202, DK-2800 Lyngby, Denmark.ORCID 0000-0002-3162-0101
Maribel Gómez-GómezNanophotonics Technology Center, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.ORCID 0000-0001-7548-209X
Amadeu GriolNanophotonics Technology Center, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.ORCID 0000-0002-5428-5713
Isabel Fernández-SegoviaUniversity Institute of Food Engineering-FoodUPV, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.
Ana FuentesUniversity Institute of Food Engineering-FoodUPV, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.ORCID 0000-0002-4144-2396
José Manuel BaratUniversity Institute of Food Engineering-FoodUPV, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.ORCID 0000-0001-8487-7114

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Histamine (HIS) in food products can cause poisoning or intolerance reactions, which are usually associated with fish and seafood consumption. Therefore, the detection and quantification of histamine in fish and fish products are important for public health protection. This article provides an overview on the current methodologies and recent advances in histamine detection and quantification applied to fishery products. Among the evaluated studies, chromatographic techniques, especially HPLC, are the most common due to their good performance. However, chromatographic techniques present disadvantages, such as complex sample preparation and use of organic solvents, and attempts have been made to solve them with spectroscopic and enzymatic methodologies, and sensors models. Sensor-based methods (biosensors, electrochemical sensors, optical sensors) allow real-time or near-real-time detection of histamine, making them highly valuable for on-site quality control. The incorporation of selective recognition elements, such as enzymes, aptamers, or molecularly imprinted polymers (MIPs), significantly enhances the selectivity and reduces detection and quantification limits. However, challenges related to stability, interference, and lack of standardisation can limit their ability to fully replace traditional laboratory methods. Future research should therefore focus on developing robust, cost-effective, and standardised detection platforms capable of combining the accuracy of chromatographic methods with the speed and practicality of modern sensors, ultimately strengthening food quality control and reducing the risk of histamine-related intoxications worldwide.

Indexed as

analytical methodsfishfish productsfood analysishistamine

Identifiers

PMID42587850
PMCPMC13465368

What OpenQuestion holds

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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.