Legislative changes have altered the way imported edible seafood is inspected in Australia.Greater onus of responsibility has been placed on exporting countries to provide documentary evidence of adherence to internal...Legislative changes have altered the way imported edible seafood is inspected in Australia.Greater onus of responsibility has been placed on exporting countries to provide documentary evidence of adherence to internally recognized food safety standards.According to global trade agreements,any additional safety tests applied to freshwater fish imported into Australia must be justified.Therefore,the aim of this study was to develop a risk scoring method to provide justification for identifying countries as'Freshwater fish high risk'and to examine the seafood they export to Australia for seafood supply chain breaches.Scori ng was con ducted using six predictor variables,identified in the literature as important contributors to seafood supply chain breaches,to achieve the outcome variable,Country considered'Freshwater fish high risk.Sixty-seven fish fillets(9.55 kg)of the same species were examined from the third highest scoring country(Country 20)and 562(5.6 kg)whole fish from the sixth highest scoring country(Country 22).Country 20 had supply chain breaches of 28 macroscopic yellow cysts in one fillet.Two hundred and thirteen parasites and other supply chain breaches were identified in fish from Country 22,in eluding retai ned liver(91 per cent),visible mud(11 per cent),a variety of debris(16 per cent)and,depending on the commodity code,these fish were imported to Australia under full intestine(90 per cent),retained gills(89 per cent),and partial intestine(9 per cent).Three serious physical hazards were recovered from the edible portion of three'consumer-ready' fish and snails of Genus Lymnaea and Indoplanorbis were recovered from gill mud also from'consumer-readyz fish.The study showed variable results from the scoring system and vast differences in seafood supply chain breaches between the third and sixth highest scoring countries.展开更多
The global burden of illegal fishing is estimated to be extensive.Intricately constructed trade routes introduce illegally caught fish products into the global commercial market,including Australia.To date,no studies ...The global burden of illegal fishing is estimated to be extensive.Intricately constructed trade routes introduce illegally caught fish products into the global commercial market,including Australia.To date,no studies have investigated the potential for illegally caught fish to harbor zoonotic parasites.Any tests applied to fish imported to Australia must be scientifically justified according to international trade agreements.The primary aim of this study was to develop a risk scoring method that provides a scientific basis for the development of protocols to examine fish imported to Australia for zoonotic parasites.The secondary aim was to estimate and prioritize the provenance of fish,which may be high-risk areas for illegal,unreported,and unregulated(IUU)1 fishing.The third aim was to calculate the amount of unreported catch from each of the ten highest-risk countries.Scoring was conducted using seven predictor variables,which were identified in the published literature as important,within the forensics of IUU fishing,for identifying the“IUU or unreported catch risk”of each provenance.The unreported catch(UC)2 for the highest scoring provenances(1–10)was calculated after risk scoring.The highest and second highest scoring provenances,30 and 67,had 39.8%and 41.55%UC,respectively;Provenance 79,which had the tenth highest risk score,had 6.9%UC.Linear regression analysis showed a non-significant association between the size of the exclusive economic zone and UC.Number of commercial spp.was the greatest indicator of UC.The analysis showed that for every unit increase in the number of different commercial spp.available,there was an increase of 5.28 units in the percentage of UC.Mean provenance risk scores and percentage of UC were linearly related.There was a 79.4%decrease in the mean risk scores between provenances 1–5 and 6–10;a decrease was also observed in the UC between the two groups(33.7%and 15.5%,respectively).The proposed scoring method appears to be a good predictor of UC,with a clear association between the mean risk scores for each provenance and percentage UC.展开更多
文摘Legislative changes have altered the way imported edible seafood is inspected in Australia.Greater onus of responsibility has been placed on exporting countries to provide documentary evidence of adherence to internally recognized food safety standards.According to global trade agreements,any additional safety tests applied to freshwater fish imported into Australia must be justified.Therefore,the aim of this study was to develop a risk scoring method to provide justification for identifying countries as'Freshwater fish high risk'and to examine the seafood they export to Australia for seafood supply chain breaches.Scori ng was con ducted using six predictor variables,identified in the literature as important contributors to seafood supply chain breaches,to achieve the outcome variable,Country considered'Freshwater fish high risk.Sixty-seven fish fillets(9.55 kg)of the same species were examined from the third highest scoring country(Country 20)and 562(5.6 kg)whole fish from the sixth highest scoring country(Country 22).Country 20 had supply chain breaches of 28 macroscopic yellow cysts in one fillet.Two hundred and thirteen parasites and other supply chain breaches were identified in fish from Country 22,in eluding retai ned liver(91 per cent),visible mud(11 per cent),a variety of debris(16 per cent)and,depending on the commodity code,these fish were imported to Australia under full intestine(90 per cent),retained gills(89 per cent),and partial intestine(9 per cent).Three serious physical hazards were recovered from the edible portion of three'consumer-ready' fish and snails of Genus Lymnaea and Indoplanorbis were recovered from gill mud also from'consumer-readyz fish.The study showed variable results from the scoring system and vast differences in seafood supply chain breaches between the third and sixth highest scoring countries.
文摘The global burden of illegal fishing is estimated to be extensive.Intricately constructed trade routes introduce illegally caught fish products into the global commercial market,including Australia.To date,no studies have investigated the potential for illegally caught fish to harbor zoonotic parasites.Any tests applied to fish imported to Australia must be scientifically justified according to international trade agreements.The primary aim of this study was to develop a risk scoring method that provides a scientific basis for the development of protocols to examine fish imported to Australia for zoonotic parasites.The secondary aim was to estimate and prioritize the provenance of fish,which may be high-risk areas for illegal,unreported,and unregulated(IUU)1 fishing.The third aim was to calculate the amount of unreported catch from each of the ten highest-risk countries.Scoring was conducted using seven predictor variables,which were identified in the published literature as important,within the forensics of IUU fishing,for identifying the“IUU or unreported catch risk”of each provenance.The unreported catch(UC)2 for the highest scoring provenances(1–10)was calculated after risk scoring.The highest and second highest scoring provenances,30 and 67,had 39.8%and 41.55%UC,respectively;Provenance 79,which had the tenth highest risk score,had 6.9%UC.Linear regression analysis showed a non-significant association between the size of the exclusive economic zone and UC.Number of commercial spp.was the greatest indicator of UC.The analysis showed that for every unit increase in the number of different commercial spp.available,there was an increase of 5.28 units in the percentage of UC.Mean provenance risk scores and percentage of UC were linearly related.There was a 79.4%decrease in the mean risk scores between provenances 1–5 and 6–10;a decrease was also observed in the UC between the two groups(33.7%and 15.5%,respectively).The proposed scoring method appears to be a good predictor of UC,with a clear association between the mean risk scores for each provenance and percentage UC.
