Journal
FOODS
Volume 12, Issue 1, Pages -Publisher
MDPI
DOI: 10.3390/foods12010228
Keywords
DNA-based methods; fish; food fraud; food quality; genetically modified organism (GMO); polymerase chain reaction (PCR); species identification
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Food adulteration is a serious global issue that misleads consumers and poses health risks. Fish and fish products are often targeted for adulteration, especially by substituting high-quality species with cheaper ones. This can be dangerous for consumers, as different fish species have varying allergen content. DNA-based methods are considered powerful tools for identifying food fraud, as DNA is heat resistant and can reveal genetic modifications. This review discusses these DNA-based methods for fish authentication, their commercial applications, and the importance of comprehensive and regularly updated online databases.
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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