2020
DOI: 10.1002/fsn3.1448
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Food hazards on the European Union market: The data analysis of the Rapid Alert System for Food and Feed

Abstract: The aim of the study was to examine similarities in notifications on main hazards within food reported in the Rapid Alert System for Food and Feed (RASFF) in 1979–2017. The main problems were mycotoxins in nuts, pathogenic microorganisms in poultry meat and fish, pesticide residues in fruits and vegetables, and heavy metals in fish. The increase in the number of notifications has been observed since 2002/2003. Products were notified mainly by Italy, Germany, and United Kingdom and originated from Asian and Eur… Show more

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Cited by 33 publications
(21 citation statements)
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“…Mycotoxin contamination results in more notifications than any other hazard in the Rapid Alert System for Food and Feed (RASFF), and the foremost toxin that has been associated with the notifications is AFs, especially in the nuts and nut products [ 1 , 21 , 22 , 23 , 24 ]. RASFF was established in 1979 by the E.U.…”
Section: Introductionmentioning
confidence: 99%
“…Mycotoxin contamination results in more notifications than any other hazard in the Rapid Alert System for Food and Feed (RASFF), and the foremost toxin that has been associated with the notifications is AFs, especially in the nuts and nut products [ 1 , 21 , 22 , 23 , 24 ]. RASFF was established in 1979 by the E.U.…”
Section: Introductionmentioning
confidence: 99%
“…Based on the notifications recorded in the RASFF database, contingency tables were produced to identify whether the level of monitoring by importing countries changed due to stricter or weaker food safety controls between 2018 and 2020 ( Table 3 ). Following the approach of Pigłowski (2020) , feed was omitted in the study. The analysis focused exclusively on food because it was the most frequently notified product category in the RASFF from 1979 to 2017 (89.5% of all notifications).…”
Section: Resultsmentioning
confidence: 99%
“…This method was useful to explore possible changes in notification behaviour and thereby achieve the research aims. Pigłowski (2015 , 2017 , 2020) used cluster analysis to explore the dependence between food safety notifications and product characteristics. However, that study was conducted in a different environment because of the absence of the effects of COVID-19.…”
Section: Methodsmentioning
confidence: 99%
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