The seafood supply chain from a fraudulent perspective

Food fraud is an intentional act for economic gain. It poses a risk to food integrity, the economy, public health and consumers’ ethics. Seafood is one commodity which has endured extensive fraudulent activity owing to its increasing consumer demand, resource limitations, high value and complex supply chains. It is essential that these fraudulent opportunities are revealed, the risk is evaluated and countermeasures for mitigation are assigned. This can be achieved through mapping of the seafood supply chains and identifying the vulnerability analysis critical control points (VACCP), which can be exposed, infiltrated and exploited for fraudulent activity. This research systematically maps the seafood supply chain for three key commodities: finfish, shellfish and crustaceans in the United Kingdom. Each chain is comprised of multiple stakeholders across numerous countries producing a diverse range of products distributed globally. For each supply chain the prospect of fraud, with reference to species substitution, fishery substitution, illegal, unreported and unregulated substitution, species adulteration, chain of custody abuse, catch method fraud, undeclared product extension, modern day slavery and animal welfare, has been identified and evaluated. This mapping of the fraudulent opportunities within the supply chains provides a foundation to rank known and emerging risks and to develop a proactive mitigation plan which assigns control measures and responsibility where vulnerabilities exist. Further intelligence gathering and management of VACCPs of the seafood supply chains may deter currently unknown or unexposed fraudulent opportunities.

[1]  D.H.R. Price,et al.  System dynamics and operational research: An appraisal , 1984 .

[2]  J. Avise,et al.  An odyssey of the green sea turtle: Ascension Island revisited. , 1989, Proceedings of the National Academy of Sciences of the United States of America.

[3]  D. Meyer Towards the global , 1997 .

[4]  D. Canter Offender profiling and criminal differentiation , 2000 .

[5]  J. M. Gallardo,et al.  Characterization and partial sequencing of species‐specific sarcoplasmic polypeptides from commercial hake species by mass spectrometry following two‐dimensional electrophoresis , 2001, Electrophoresis.

[6]  T. Boujard,et al.  Feeding behaviour, energy expenditure and growth of rainbow trout in relation to stocking density and food accessibility , 2002 .

[7]  F. Bonhomme,et al.  Geographic structure in the European flat oyster (Ostrea edulis L.) as revealed by Microsatellite polymorphism. , 2002, The Journal of heredity.

[8]  E. Gosling Bivalve Molluscs: Biology, Ecology and Culture , 2003 .

[9]  M. Rosegrant,et al.  Outlook for Fish to 2020: Meeting Global Demand , 2003 .

[10]  J. A. Lines,et al.  Electric stunning: a humane slaughter method for trout , 2003 .

[11]  Iwao Kobayashi,et al.  Data transmission code towards international EDI for seafood supply chain , 2004 .

[12]  S. Primrose,et al.  Food forensics: using DNA technology to combat misdescription and fraud. , 2004, Trends in biotechnology.

[13]  I. Martinez,et al.  Application of proteome analysis to seafood authentication , 2004, Proteomics.

[14]  R. Zatorre,et al.  Fisheries: Mislabelling of a depleted reef fish , 2004, Nature.

[15]  James Brown An account of the dolphin-safe tuna issue in the UK , 2005 .

[16]  G. Wooster,et al.  Human Health Risks Associated with Formalin Treatments Used in Aquaculture: Initial Study , 2005 .

[17]  G. Downey,et al.  Recent technological advances for the determination of food authenticity , 2006 .

[18]  Junbin Zhang,et al.  Differentiation of the rainbow trout (Oncorhynchus mykiss) from Atlantic salmon (Salmon salar) by the AFLP-derived SCAR , 2006 .

[19]  egov Food Safety Management Systems , 2006 .

[20]  Ioannis Manikas,et al.  Traceability data management for food chains , 2006 .

[21]  R. Bowen,et al.  Chain of custody as an organizing framework in seafood risk reduction. , 2006, Marine pollution bulletin.

[22]  Paul J. Ashley Fish welfare: Current issues in aquaculture , 2007 .

[23]  S. A. Hale,et al.  Detection and quantification of species authenticity and adulteration in crabmeat using visible and near-infrared spectroscopy. , 2007, Journal of agricultural and food chemistry.

[24]  A. Lovatelli,et al.  Installation and operation of a modular bivalve hatchery , 2007 .

[25]  N. Roos,et al.  Linking Human Nutrition and Fisheries: Incorporating Micronutrient-Dense, Small Indigenous Fish Species in Carp Polyculture Production in Bangladesh , 2007, Food and nutrition bulletin.

[26]  C. Pascual,et al.  Fish allergy in childhood , 2008, Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology.

[27]  M. Jevšnik,et al.  Consumers’ awareness of food safety from shopping to eating , 2008 .

[28]  R. Hanner,et al.  DNA barcoding detects market substitution in North American seafood , 2008 .

[29]  T. Noguchi,et al.  Tetrodotoxin – Distribution and Accumulation in Aquatic Organisms, and Cases of Human Intoxication , 2008, Marine drugs.

[30]  D. Pauly,et al.  Trade secrets: Renaming and mislabeling of seafood , 2008 .

[31]  R. S. Rasmussen,et al.  DNA-Based Methods for the Identification of Commercial Fish and Seafood Species. , 2008, Comprehensive reviews in food science and food safety.

[32]  R. Siciliano,et al.  Fish authentication by MALDI-TOF mass spectrometry. , 2008, Journal of agricultural and food chemistry.

[33]  T. García,et al.  Determination of food authenticity by enzyme-linked immunosorbent assay (ELISA) , 2008 .

[34]  J. Metcalfe Welfare in wild-capture marine fisheries. , 2009, Journal of fish biology.

[35]  J. Buzby,et al.  Imports from China and Food Safety Issues , 2009 .

[36]  H. Rehbein DNA‐Based Methods , 2009 .

[37]  Luoping Zhang,et al.  Formaldehyde in China: production, consumption, exposure levels, and health effects. , 2009, Environment international.

[38]  A. Tatem,et al.  Food and Agriculture Organisation of the United Nations , 2009 .

[39]  R. Elwood,et al.  Pain and stress in crustaceans , 2009 .

[40]  Photis Papademas,et al.  Food safety management systems (FSMS) in the dairy industry: a review. , 2010 .

[41]  L. Joseph,et al.  Role of food labels in accidental exposures in food-allergic individuals in Canada. , 2010, Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology.

[42]  E. Garcia-Vazquez,et al.  Fish allergy risk derived from ambiguous vernacular fish names: Forensic DNA-based detection in Greek markets , 2010 .

[43]  Bogdan Jaremin,et al.  Human and fishing vessel losses in sea accidents in the UK fishing industry from 1948 to 2008. , 2010, International maritime health.

[44]  P. Galli,et al.  DNA barcoding reveals fraudulent substitutions in shark seafood products: The Italian case of “palombo” (Mustelus spp.) , 2010 .

[45]  S. Mariani,et al.  Smoke, mirrors, and mislabeled cod: poor transparency in the European seafood industry , 2010 .

[46]  B. Roth,et al.  Stunning and killing of edible crabs (Cancer pagurus) , 2010, Animal Welfare.

[47]  C. Matthee,et al.  Misleading the masses: detection of mislabelled and substituted frozen fish products in South Africa , 2010 .

[48]  E. Buck Seafood Marketing: Combating Fraud and Deception , 2010 .

[49]  T. García,et al.  A review of current PCR-based methodologies for the authentication of meats from game animal species. , 2010 .

[50]  Toke Koldborg Jensen,et al.  The Fish Industry—Toward Supply Chain Modeling , 2010 .

[51]  F. Marzano,et al.  Molecular barcoding reveals mislabelling of commercial fish products in Italy , 2010 .

[52]  Rosalee S. Hellberg,et al.  Advances in DNA-Based Techniques for the Detection of Seafood Species Substitution on the Commercial Market , 2011, Journal of laboratory automation.

[53]  J. Spink,et al.  Defining the public health threat of food fraud. , 2011, Journal of food science.

[54]  Nga T. T. Mai,et al.  Performance of a photochromic time–temperature indicator under simulated fresh fish supply chain conditions , 2011 .

[55]  V. Christensen,et al.  A combined ecosystem and value chain modeling approach for evaluating societal cost and benefit of fishing , 2011, Ecological Modelling.

[56]  U. Kuch,et al.  Puffer fish poisoning in Bangladesh: clinical and toxicological results from large outbreaks in 2008. , 2011, Transactions of the Royal Society of Tropical Medicine and Hygiene.

[57]  R. Hanner,et al.  FISH-BOL and seafood identification: Geographically dispersed case studies reveal systemic market substitution across Canada , 2011, Mitochondrial DNA.

[58]  D. Neil The effect of the Crustastun ™ on nerve activity in two commercially important decapod crustaceans: the edible brown Cancer pagurus and the European lobster Homarus gammarus , 2012 .

[59]  R. Witthuhn,et al.  DNA barcoding reveals a high incidence of fish species misrepresentation and substitution on the South African market , 2012 .

[60]  J. Spink,et al.  Development and application of a database of food ingredient fraud and economically motivated adulteration from 1980 to 2010. , 2012, Journal of food science.

[61]  K. Donnelly,et al.  Catch to landing traceability and the effects of implementation – A case study from the Norwegian white fish sector , 2012 .

[62]  J. W. Allwood,et al.  Fingerprinting food: current technologies for the detection of food adulteration and contamination. , 2012, Chemical Society reviews.

[63]  I. Jenson,et al.  Performance standards and meat safety--developments and direction. , 2012, Meat science.

[64]  Melania Borit,et al.  Evaluation framework for regulatory requirements related to data recording and traceability designed to prevent illegal, unreported and unregulated fishing , 2012 .

[65]  H. Thompson Fish Welfare , 2012 .

[66]  L. Schell,et al.  What's NOT to eat—food adulteration in the context of human biology , 2012, American journal of human biology : the official journal of the Human Biology Council.

[67]  S. Mariani,et al.  Seafood mislabelling: comparisons of two western European case studies assist in defining influencing factors, mechanisms and motives , 2012 .

[68]  Carole Lalonde,et al.  Managing risks through ISO 31000: A critical analysis , 2012 .

[69]  D. Powell,et al.  Audits and inspections are never enough: a critique to enhance food safety , 2013 .

[70]  B. Mohanty,et al.  Food Safety, Labeling Regulations and Fish Food Authentication , 2013 .

[71]  Liang-Tu Chen Dynamic supply chain coordination under consignment and vendor-managed inventory in retailer-centric B2B electronic markets , 2013 .

[72]  T. Aven On the Meaning and Use of the Risk Appetite Concept , 2013, Risk analysis : an official publication of the Society for Risk Analysis.

[73]  K. Everstine,et al.  Economically motivated adulteration (EMA) of food: common characteristics of EMA incidents. , 2013, Journal of food protection.

[74]  THE NEW FRAUD DIAMOND MODEL- HOW CAN IT HELP FORENSIC ACCOUNTANTS IN FRAUD INVESTIGATION IN NIGERIA? , 2013 .

[75]  C. Paiva Quality Management: Important Aspects for the Food Industry , 2013 .

[76]  Yong He,et al.  Potential of hyperspectral imaging and multivariate analysis for rapid and non-invasive detection of gelatin adulteration in prawn , 2013 .

[77]  Defining the types of counterfeiters, counterfeiting, and offender organizations , 2013 .

[78]  Audrey Laing,et al.  LISTENING TO ALTERNATIVE PERSPECTIVES ON RURAL CRIME AND CRIMINALITY (A REPORT ON THE PILOT STUDY) , 2013 .

[79]  A. Galimberti,et al.  DNA barcoding as a new tool for food traceability , 2013 .

[80]  N. Widmar,et al.  Aquaculture imports from Asia: an analysis of U.S. consumer demand for select food quality attributes , 2014 .

[81]  P. Fréon,et al.  Coupled Ecosystem/Supply Chain Modelling of Fish Products from Sea to Shelf: The Peruvian Anchoveta Case , 2014, PloS one.

[82]  B. Ratner,et al.  Fishing for justice: Human rights, development, and fisheries sector reform , 2014 .

[83]  Vahid Mirzabeiki,et al.  Effects on logistic operations from RFID- and EPCIS-enabled traceability , 2014 .

[84]  B. Ramsingh The emergence of international food safety standards and guidelines: understanding the current landscape through a historical approach , 2014, Perspectives in public health.

[85]  Kjetil T. Midthun,et al.  Stochastic optimization of operational production planning for fisheries , 2014 .

[86]  Sylvain Charlebois,et al.  Comparison of Global Food Traceability Regulations and Requirements , 2014 .

[87]  T. Pitcher,et al.  Estimates of illegal and unreported fish in seafood imports to the USA , 2014 .

[88]  Luca Catarinucci,et al.  Rfid-based traceability along the food-production chain [Wireless Corner] , 2014, IEEE Antennas and Propagation Magazine.

[89]  Yu Zhou,et al.  Differentiation of fish species in Taiwan Strait by PCR-RFLP and lab-on-a-chip system , 2014 .

[90]  L. Manning,et al.  Developing systems to control food adulteration , 2014 .

[91]  Hyeonho Park,et al.  Development of a product-counterfeiting incident cluster tool , 2014 .

[92]  M. Segarra-Oña,et al.  Empirical analysis of sustainable fisheries and the relation to economic performance enhancement: The case of the Spanish fishing industry , 2014 .

[93]  Alejandro Alvarez-Melcon,et al.  Advanced traceability system in aquaculture supply chain , 2014 .

[94]  Maurizio Canavari,et al.  On the linkages between traceability levels and expected and actual traceability costs and benefits in the Italian fishery supply chain , 2014 .

[95]  Henrik Ringsberg Perspectives on food traceability: A systematic literature review , 2014 .

[96]  E. Garcia-Vazquez,et al.  DNA barcoding reveals a high level of mislabeling in Egyptian fish fillets , 2014 .

[97]  Sara M. Handy,et al.  Development of a COX1 based PCR-RFLP method for fish species identification , 2015 .

[98]  S. Oshita,et al.  Non-invasive analytical technology for the detection of contamination, adulteration, and authenticity of meat, poultry, and fish: a review. , 2015, Analytica chimica acta.

[99]  R. Rosa,et al.  Seafood traceability: current needs, available tools, and biotechnological challenges for origin certification. , 2015, Trends in biotechnology.

[100]  Md. Al Amin,et al.  Multiplex PCR assay for the detection of five meat species forbidden in Islamic foods. , 2015, Food chemistry.

[101]  Janet Howieson,et al.  Environmental supply chain management in the seafood industry: past, present and future approaches , 2015 .

[102]  Jorge Santos,et al.  Getting traceability right, from fish to advanced bio-technological products: a review of legislation , 2015 .

[103]  J. Curll The significance of food fraud in Australia , 2015 .

[104]  Hance D. Smith,et al.  Fishers and Plunderers: Theft, Slavery and Violence at Sea , 2015 .

[105]  R. Watson,et al.  Life cycle assessment of wild capture prawns: expanding sustainability considerations in the Australian Northern Prawn Fishery , 2015 .

[106]  H. Korkeala,et al.  Patterns of food frauds and adulterations reported in the EU rapid alert system for food and feed and in Finland , 2015 .

[107]  R. Ward,et al.  Labelling accuracy in Tasmanian seafood: An investigation using DNA barcoding , 2015 .

[108]  S. Chaturongakul,et al.  TaqMan qPCR for detection and quantification of mitochondrial DNA from toxic pufferfish species. , 2015, Toxicon : official journal of the International Society on Toxinology.

[109]  Price Determination and Demand Flexibilities in the Ex-Vessel Market for Tuna in the Republic of Maldives , 2015 .

[110]  J. Horgan NCA strategic assessment: The nature and scale of human trafficking in 2013 , 2015 .

[111]  A. Mol,et al.  Towards a global environmental sociology? Legacies, trends and future directions , 2014, Current sociology. La Sociologie contemporaine.

[112]  C. Stamatis,et al.  What do we think we eat? Single tracing method across foodstuff of animal origin found in Greek market , 2015 .

[113]  Christopher T. Elliott,et al.  A comprehensive strategy to detect the fraudulent adulteration of herbs: The oregano approach , 2016, Food chemistry.

[114]  A. Cuttitta,et al.  Development of a fast DNA extraction method for sea food and marine species identification. , 2016, Food chemistry.

[115]  Pieternel A. Luning,et al.  Risk-based integrity audits in the food chain – A framework for complex systems , 2016 .

[116]  C. O’Brien,et al.  Aquatic food security: insights into challenges and solutions from an analysis of interactions between fisheries, aquaculture, food safety, human health, fish and human welfare, economy and environment , 2016 .

[117]  Hayan Charara Bad Things , 2016 .

[118]  L. Manning,et al.  Developing an organizational typology of criminals in the meat supply chain , 2016 .

[119]  A. Armani,et al.  New provisions for the labelling of fishery and aquaculture products: Difficulties in the implementation of Regulation (EU) n. 1379/2013 , 2016 .

[120]  K. Kappel,et al.  Substitution of high-priced fish with low-priced species: Adulteration of common sole in German restaurants , 2016 .

[121]  J. Spink,et al.  Introducing the Food Fraud Initial Screening model (FFIS) , 2016 .

[122]  Terje Aven,et al.  Risk assessment and risk management: Review of recent advances on their foundation , 2016, Eur. J. Oper. Res..

[123]  H. J. van der Fels-Klerx,et al.  A holistic approach to food safety risks: Food fraud as an example. , 2016, Food research international.

[124]  Neal D. Fortin,et al.  Food Fraud Prevention: Policy, Strategy, and Decision-Making - Implementation Steps for a Government Agency or Industry. , 2016, Chimia.

[125]  Sayeeda Rahman,et al.  The extent and magnitude of formalin adulteration in fish sold in domestic markets of Bangladesh: a literature review , 2016 .

[126]  Denise Falbo Shawn LaFlamme,et al.  Campaign , 2017 .

[127]  Frank G. Madsen Transnational criminal networks , 2018 .