{"title":"A comparative study between the top 10 origin countries involved in the EU RASFF notifications on aflatoxins from 1997 to 2022","authors":"Fawzy Eissa , Ahmed Salem Sebaei","doi":"10.1016/j.mran.2023.100277","DOIUrl":null,"url":null,"abstract":"<div><p>Aflatoxin B1 (AFB1), is among the most carcinogenic and genotoxic food and feed contaminants and there is no acceptable level of their intake. An analysis of the top 10 countries of origin notifications on aflatoxins (AFs) involved in the EU RASFF database over the last 26 years was undertaken. A risk assessment was estimated for simulating the worst-case scenario for the serious notifications of the mostly notified products as well. Out of 12,400 notifications on AFs over the period between 1997 and 2022, of which 10,340 (83.39 %) concerned Iran which was the most frequently notified country (21.56 %), followed by Turkey (20.48), China (9.99 %), India (7.88 %), the USA (7.74 %), Argentina (5.82 %), Egypt (3.94 %), Brazil (3.05 %), Pakistan (1.52 %), and Nigeria (1.41 %). Germany was the most notifying country, followed by the Netherlands. Among all notifications, 53.3 % have been border rejected. Nuts, nuts products, and seeds were the highest notified product category followed by fruits and vegetables. The highest serious risk decision in terms of notification number was taken for contaminated dried fig from Turkey, followed by pistachio from Iran. The estimated margin of exposure (MOE) values for the mostly notified products i.e., pistachio, dried fig, and peanut were <10,000 which is not safe and represents a health concern.</p></div>","PeriodicalId":48593,"journal":{"name":"Microbial Risk Analysis","volume":"25 ","pages":"Article 100277"},"PeriodicalIF":3.0000,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Microbial Risk Analysis","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352352223000324","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Aflatoxin B1 (AFB1), is among the most carcinogenic and genotoxic food and feed contaminants and there is no acceptable level of their intake. An analysis of the top 10 countries of origin notifications on aflatoxins (AFs) involved in the EU RASFF database over the last 26 years was undertaken. A risk assessment was estimated for simulating the worst-case scenario for the serious notifications of the mostly notified products as well. Out of 12,400 notifications on AFs over the period between 1997 and 2022, of which 10,340 (83.39 %) concerned Iran which was the most frequently notified country (21.56 %), followed by Turkey (20.48), China (9.99 %), India (7.88 %), the USA (7.74 %), Argentina (5.82 %), Egypt (3.94 %), Brazil (3.05 %), Pakistan (1.52 %), and Nigeria (1.41 %). Germany was the most notifying country, followed by the Netherlands. Among all notifications, 53.3 % have been border rejected. Nuts, nuts products, and seeds were the highest notified product category followed by fruits and vegetables. The highest serious risk decision in terms of notification number was taken for contaminated dried fig from Turkey, followed by pistachio from Iran. The estimated margin of exposure (MOE) values for the mostly notified products i.e., pistachio, dried fig, and peanut were <10,000 which is not safe and represents a health concern.
期刊介绍:
The journal Microbial Risk Analysis accepts articles dealing with the study of risk analysis applied to microbial hazards. Manuscripts should at least cover any of the components of risk assessment (risk characterization, exposure assessment, etc.), risk management and/or risk communication in any microbiology field (clinical, environmental, food, veterinary, etc.). This journal also accepts article dealing with predictive microbiology, quantitative microbial ecology, mathematical modeling, risk studies applied to microbial ecology, quantitative microbiology for epidemiological studies, statistical methods applied to microbiology, and laws and regulatory policies aimed at lessening the risk of microbial hazards. Work focusing on risk studies of viruses, parasites, microbial toxins, antimicrobial resistant organisms, genetically modified organisms (GMOs), and recombinant DNA products are also acceptable.