scholarly journals International Symposium Food Fraud Prevention and Effective Food Allergen Management

2019 ◽  
Vol 11 (Supplement 1) ◽  
pp. S1-S56
2021 ◽  
Author(s):  
Rhayane Monteiro ◽  
Morgana Ribeiro ◽  
Calebi Viana ◽  
Mario Wedney de Lima Moreira ◽  
Glacio Araújo ◽  
...  

Abstract Fraud, misidentification, and adulteration of food, whether unintentional or purposeful, are a worldwide and growing concern. Aquaculture and fisheries are recognized as one of the sectors most vulnerable to food fraud. Besides, a series of risks related to health and distrust between consumer and popular market that this sector develop an effective solution for fraud control. Species identification is an essential aspect to expose commercial fraud. Convolutional neural networks (CNNs) are one of the most powerful tools for image recognition and classification tasks. Thus, the objective of this study is to propose a model of recognition of fish species based on CNNs. The results obtained show an algorithm with an accuracy of 86%, providing an effective solution to prevent fish fraud.


2017 ◽  
Vol 62 ◽  
pp. 215-220 ◽  
Author(s):  
John Spink ◽  
David L. Ortega ◽  
Chen Chen ◽  
Felicia Wu
Keyword(s):  

Food Control ◽  
2019 ◽  
Vol 105 ◽  
pp. 233-241 ◽  
Author(s):  
John Spink ◽  
Weina Chen ◽  
Guangtao Zhang ◽  
Cheri Speier-Pero

2020 ◽  
Vol 103 (2) ◽  
pp. 470-479 ◽  
Author(s):  
Samuel Benrejeb Godefroy ◽  
Virginie Barrere ◽  
Jérémie Théolier ◽  
Robert C Baker ◽  
Guangtao Zhang ◽  
...  

Abstract Background Reports of incidents associated with the misrepresentation of food products as well as the adulteration of their composition leading, at times, to significant public health impacts are being recorded. Objective This paper aims at summarizing the outputs of three workshops dedicated to the theme “Global Understanding of Food Fraud” (GUFF), held in Quebec City in Canada (April 2017), Beijing in the People’s Republic of China (October 2017) and Dubai in the United Arab Emirates (October 2018). Method Based on the contributions made at these workshops, the paper reviews current knowledge related to food fraud shared by experts and stakeholders representing the food industry sector, food regulators both domestically and internationally and scientists from Academia. It also discusses approaches available to the industry across the food supply chain to predict, prevent, and possibly mitigate food fraud, inclusive of targeted and non-targeted methods of analysis. Results and Conclusions The paper offers a discussion on areas warranting the mobilization of efforts and resources of the food stakeholder community to reach consistent and accessible guidance on food fraud prevention, validated analytical methods along with an increased emphasis on prevention in food regulatory measures targeting food fraud. Further development is needed to reach consistent and accessible guidance on food fraud prevention, validated analytical methods, along with an emphasis on food fraud prevention. Highlights Food fraud is receiving increased attention from consumers, regulators, and industry. International food fraud experts were invited to three workshops. Contributions and conclusions from the workshops are reported and discussed.


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