Document Detail


Analysis to support food allergen risk management: Which way to go?
MedLine Citation:
PMID:  23323855     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Food allergy represents an important food safety issue because of the potential lethal effects and the only effective treatment is the complete removal of the allergen involved from diet. However, due to the growing complexity of food formulations and food processing, foods may be unintentionally contaminated via allergen-containing ingredients or cross-contamination. This affects not only consumers' wellbeing, but also food producers and competent authorities involved in inspecting and auditing food companies. To address these issues, food industry and control agencies rely on available analytical methods to quantify the amount of a particular allergic commodity in a food and thus to decide upon its safety. However, no "gold standard methods" exist for the quantitative detection of food allergens. Nowadays mostly receptor based methods and in particular commercial kits are used in routine analysis. However, upon evaluation of their performances, commercial assays proved often to be unreliable in processed foods, attributed to the chemical changes in proteins which affect the molecular recognition with the receptor used. Unfortunately, the analytical outcome of other methods among which chromatographic combined with mass spectrometric techniques, but also DNA based methods seem to be affected in a comparable way by food processing. Several strategies can be employed to improve the quantitative analysis of allergens in foods. Nevertheless, issues related to extractability and matrix effects remain a permanent challenge. In view of the presented results, it is clear that the food industry needs to continue to make extra efforts to provide accurate labeling and to reduce the contamination with allergens to an acceptable level through the use of allergen risk management on company level which needs to be supported inevitably by a tailor-validated extraction and detection method.
Authors:
Tatiana Cucu; Liesbeth Jacxsens; Bruno De Meulenaer
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-1-16
Journal Detail:
Title:  Journal of agricultural and food chemistry     Volume:  -     ISSN:  1520-5118     ISO Abbreviation:  J. Agric. Food Chem.     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2013-1-17     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0374755     Medline TA:  J Agric Food Chem     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
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