Fish fraud remains a pervasive issue across markets, grocery stores, and restaurants globally, yet new tools and strategies are emerging to combat this illicit practice, as highlighted in a recent report by the UN Food and Agriculture Organisation (FAO). Although there is no formal estimate for the scale of fraud in the US$195 billion global fisheries and aquaculture sector, empirical studies suggest that up to 20 percent of the trade may be affected by some form of deceit.

The report notes alarming figures regarding seafood mislabeling, indicating that as much as 30 percent of seafood products can be mislabeled in restaurants. This issue is evident worldwide, with examples arising from ceviche stands in Latin America, seafood diners in China, and canned tuna products within the European Union. In the United States alone, it is reported that one-third of aquatic products sold may misrepresent the contents listed on their packaging, and less than one percent of imports undergo testing, raising serious concerns about consumer safety and product integrity.

Economic motivations are the chief drivers behind fish fraud. For instance, misrepresenting farmed Atlantic salmon as wild Pacific salmon can yield nearly a US$10 profit per kilogram. Some instances of fraud also seek to hide the origins of the fish or camouflage landings that exceed set quotas, which can jeopardize the sustainability of fishery populations.

The report defines fish fraud as any intentional act meant to mislead, which can have adverse effects on biodiversity, human health, and economies. Various types of fish fraud include methods such as adding water to fish products for weight, color adulteration to give the appearance of freshness, counterfeit seafood products, and mislabeling that could obscure sustainability credentials. The implications of seafood fraud can even extend to public health, as some fish species pose risks when consumed raw, while the act of re-freezing fish can lead to bacterial growth.

Addressing fish fraud is complicated due to the large variety of seafood consumed globally—over 12,000 species—and the diverse forms of deceit involved. However, innovative solutions are being developed, such as advanced laboratory tests, portable X-ray fluorescence, and machine-learning models that aim to enhance regulatory enforcement and reduce fraud levels.

To effectively tackle fish fraud, the report advocates several measures, including harmonized labeling regulations, mandatory scientific name inclusion, improved traceability systems, and the application of scientific advancements in seafood testing. Scientific methods could potentially uncover inconsistencies in fatty-acid compositions to differentiate between wild and farmed fish, as well as the use of carbon and nitrogen ratios to trace the geographical origins of fish species.

Efforts to prevent and enforce regulations against food fraud are crucial, as demonstrated in cooperative initiatives in Argentina, Italy, and the United States. For example, a study in Los Angeles using DNA barcoding revealed low mislabeling rates in processing plants but identified substantial issues in grocery stores and sushi establishments. Collaborative efforts among academia, industry, and governmental entities have shown promise; a decade-long localized initiative successfully cut seafood mislabeling rates by two-thirds through education and ongoing testing.

The FAO, in partnership with the Codex Alimentarius Commission, is driving international standards that seek to strengthen food fraud regulations further, offering technical support to member countries to enhance their testing capabilities. As the fight against fish fraud intensifies, the hope is that these proactive measures will restore integrity to global seafood markets, ensuring that consumers can trust the products they purchase.


Discover more from FijiGlobalNews

Subscribe to get the latest posts sent to your email.


Comments

Leave a comment

Latest News

Discover more from FijiGlobalNews

Subscribe now to keep reading and get access to the full archive.

Continue reading