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Robust Methods for Food Allergen Detection and Quantitative Risk Assessment

Investigators
Johnson, Philip
Institutions
University of Alaska
Start date
2019
End date
2023
Objective
Our overall aim is to improve the safety of food allergic individuals and to provide increased confidence to food allergic individuals who consume packaged food products. To this end, our major goals are to improve food allergen analysis and to improve the way in which analytical information is used to assess the risk that the presence of allergen poses to the consumer. Our goals and specific objectives are given in more detail below.Goal: Improving allergen analysisDevelopment of novel MS-based methodology capable of quantifying peanut in commonly occurring processed states and food matricesDevelopment of novel MS-based methodology capable of quantifying egg in commonly occurring processed states and food matricesDevelopment of a novel MS-based method for fish quantitation which is insensitive to the type of fish presentDevelopment of an MS-based method for milk protein detection that delivers quantitative results appropriate for quantitative risk assessment.Goal: Improving use of allergen analysis in risk assessmentCreation of an analytical framework to support the application of quantitative risk assessment to undeclared soy-derived ingredients.
Funding Source
Nat'l. Inst. of Food and Agriculture
Project source
View this project
Project number
NEB-31-150
Accession number
1019035
Categories
Parasites
Natural Toxins
Viruses and Prions
Bacterial Pathogens
Chemical Contaminants
Risk Assessment, Management, and Communication
Commodities
Nuts, Seeds