ReviewFoods (Basel, Switzerland)2023
Identification of Fish Species and Targeted Genetic Modifications Based on DNA Analysis: State of the Art.
Review in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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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.
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.
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Who cites it
14 citing papers in PubMed.
- Mitochondrial genome ofMitochondrial DNA. Part B, Resources · 2026Article
- Molecular Regulation of Growth in Aquaculture: From Genes to Sustainable Production.Life (Basel, Switzerland) · 2025Review
- Analytical Methods for the Identification of Edible and Feed Insects: Focus on DNA-Based Techniques.Foods (Basel, Switzerland) · 2025Review
- Rapid Detection ofGenes · 2025Article
- A Novel Method for Rapid Screening of Salmonidae Ingredients and Accurate Detection of Atlantic Salmon (Molecules (Basel, Switzerland) · 2024Article
- Integrated morphometric and molecular approaches to screen hybrid from wild Labeo rohita and Labeo catla parent populations.Molecular biology reports · 2024Article
- An innovative molecular approach towards the cost-effective entomological authentication of honey.NPJ science of food · 2024Article
- Immunological and molecular diagnostic techniques in fish health: present and future prospectus.Molecular biology reports · 2024Review
- Fish DNA Sensors for Authenticity Assessment-Application to Sardine Species Identification.Molecules (Basel, Switzerland) · 2024Article
- Current State of Milk, Dairy Products, Meat and Meat Products, Eggs, Fish and Fishery Products Authentication and Chemometrics.Foods (Basel, Switzerland) · 2023Review
- A Novel Machine-Learning Framework Based on a Hierarchy of Dispute Models for the Identification of Fish Species Using Multi-Mode Spectroscopy.Sensors (Basel, Switzerland) · 2023Article
- Review
- Cuttlefish Species Authentication: Advancing Label Control through Near-Infrared Spectroscopy as Rapid, Eco-Friendly, and Robust Approach.Foods (Basel, Switzerland) · 2023Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Food adulteration is one of the most serious problems regarding food safety and quality worldwide. Besides misleading consumers, it poses a considerable health risk associated with the potential non-labeled allergen content. Fish and fish products are one of the most expensive and widely traded commodities, which predisposes them to being adulterated. Among all fraud types, replacing high-quality or rare fish with a less valuable species predominates. Because fish differ in their allergen content, specifically the main one, parvalbumin, their replacement can endanger consumers. This underlines the need for reliable, robust control systems for fish species identification. Various methods may be used for the aforementioned purpose. DNA-based methods are favored due to the characteristics of the target molecule, DNA, which is heat resistant, and the fact that through its sequencing, several other traits, including the recognition of genetic modifications, can be determined. Thus, they are considered to be powerful tools for identifying cases of food fraud. In this review, the major DNA-based methods applicable for fish meat and product authentication and their commercial applications are discussed, the possibilities of detecting genetic modifications in fish are evaluated, and future trends are highlighted, emphasizing the need for comprehensive and regularly updated online database resources.
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Registered trials
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