Japanese Regulations and Buckwheat Allergen Detection

Author(s):  
Hiroshi Akiyama ◽  
Shinobu Sakai ◽  
Reiko Adachi ◽  
Reiko Teshima
Keyword(s):  
2019 ◽  
Vol 102 (5) ◽  
pp. 1263-1270 ◽  
Author(s):  
Weili Xiong ◽  
Melinda A McFarland ◽  
Cary Pirone ◽  
Christine H Parker

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.


2009 ◽  
Vol 92 (5) ◽  
pp. 1464-1471 ◽  
Author(s):  
Takashi Hirao ◽  
Satoshi Watanabe ◽  
Yusuke Temmei ◽  
Masayuki Hiramoto ◽  
Hisanori Kato

Abstract Allergen detection methods for peanut, soybean, and wheat were developed by designing PCR primer pairs for specific amplification of a fragment of the internal transcribed spacer (ITS) region reported for Arachis spp. for peanut, Glycine spp. for soybean, and Triticum and Aegilops spp. for wheat. The target species for detection included not only cultivated, but also wild and ancestor species, which were thought to be potentially allergenic. The ability of the resultant primer pairs to detect the target species was verified using genomic DNA extracted from A. hypogaea for peanut and G. max for soybean; T. aestivum, T. turgidum, T. durum, T. aestivum-rye amphidiploid, T. monococcum, T. timopheevi, Ae. speltoides, and Ae. squarrosa for wheat. The LODs were 50500 fg of target DNA, which were comparable to those of the most sensitive PCR methods previously reported. The results from the present work, as well as those from our previous work on buckwheat and kiwifruit, prove that the ITS region, for its high copy number and interspecific diversity, is particularly useful as the target of allergen detection methods.


2020 ◽  
Vol 19 (6) ◽  
pp. 3343-3364
Author(s):  
Linglin Fu ◽  
Yifan Qian ◽  
Jinru Zhou ◽  
Lei Zheng ◽  
Yanbo Wang

2016 ◽  
Vol 194 ◽  
pp. 201-211 ◽  
Author(s):  
Jennifer Sealey-Voyksner ◽  
Jerry Zweigenbaum ◽  
Robert Voyksner
Keyword(s):  
Tree Nut ◽  

2019 ◽  
Vol 274 ◽  
pp. 526-534 ◽  
Author(s):  
Behnam Keshavarz ◽  
Xingyi Jiang ◽  
Yun-Hwa Peggy Hsieh ◽  
Qinchun Rao

2011 ◽  
Vol 94 (4) ◽  
pp. 1026-1033 ◽  
Author(s):  
Phil E Johnson ◽  
Sabine Baumgartner ◽  
Thomas Aldick ◽  
Conrad Bessant ◽  
Valeria Giosafatto ◽  
...  

Abstract Allergen detection and quantification is an essential part of allergen management as practiced by food manufacturers. Recently, protein MS methods (in particular, multiple reaction monitoring experiments) have begun to be adopted by the allergen detection community to provide an alternative technique to ELISA and PCR methods. MS analysis of proteins in foods provides additional challenges to the analyst, both in terms of experimental design and methodology: (1) choice of analyte, including multiplexing to simultaneously detect several biologically relevant molecules able to trigger allergic reactions; (2) choice of processing stable peptide markers for different target analytes that should be placed in publicly available databases; (3) markers allowing quantification (e.g., through standard addition or isotopically labeled peptide standards); (4) optimization of protease digestion protocols to ensure reproducible and robust method development; and (5) effective validation of methods and harmonization of results through the use of naturally incurred reference materials spanning several types of food matrix.


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