Review of Food Allergen Label Management and Detection

2021 ◽  
Vol 10 (04) ◽  
pp. 340-345
Author(s):  
萍 金
Keyword(s):  
Food Allergen

FDA Focuses on Confusing Food Allergen Labels

2008 ◽  
Vol 42 (10) ◽  
pp. 3 ◽  
Author(s):  
ELIZABETH MECHCATIE
Keyword(s):  
Food Allergen

A survey of food allergen labeling and undeclared allergen residues in pre-packaged food products imported from Thailand

Food Control ◽  
2021 ◽  
Vol 124 ◽  
pp. 107881
Author(s):  
Chatchaporn Uraipong ◽  
Phuttachat Kaewdang ◽  
Nicki Shwe Yee ◽  
Masahiro Shoji ◽  
Nanju Alice Lee
Keyword(s):  
Food Allergen ◽  
Food Products ◽  
Packaged Food ◽  
Allergen Labeling

Food allergen communication: an in-business feasibility trial

Food Control ◽  
2021 ◽  
pp. 108287
Author(s):  
Robert McPhedran ◽  
Krishane Patel ◽  
Alice Rayner ◽  
Michelle Patel ◽  
Joanna Disson ◽  
...  
Keyword(s):  
Food Allergen ◽  
Feasibility Trial

scholarly journals Selection of Tree Nut Allergen Peptide Markers: A Need for Improved Protein Sequence Databases

2019 ◽  
Vol 102 (5) ◽  
pp. 1263-1270 ◽  
Author(s):  
Weili Xiong ◽  
Melinda A McFarland ◽  
Cary Pirone ◽  
Christine H Parker
Keyword(s):  
Food Allergen ◽  
Protein Sequence ◽  
Sequence Information ◽  
Sequencing Data ◽  
Reference Tree ◽  
Candidate Peptide ◽  
Tree Nut ◽  
Allergen Detection ◽  
Sequence Databases ◽  
Selection Of

Abstract Background: To effectively safeguard the food-allergic population and support compliance with food-labeling regulations, the food industry and regulatory agencies require reliable methods for food allergen detection and quantification. MS-based detection of food allergens relies on the systematic identification of robust and selective target peptide markers. The selection of proteotypic peptide markers, however, relies on the availability of high-quality protein sequence information, a bottleneck for the analysis of many plant-based proteomes. Method: In this work, data were compiled for reference tree nut ingredients and evaluated using a parsimony-driven global proteomics workflow. Results: The utility of supplementing existing incomplete protein sequence databases with translated genomic sequencing data was evaluated for English walnut and provided enhanced selection of candidate peptide markers and differentiation between closely related species. Highlights: Future improvements of protein databases and release of genomics-derived sequences are expected to facilitate the development of robust and harmonized LC–tandem MS-based methods for food allergen detection.

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