scholarly journals From sample to smartphone : Consumer-operable analytical devices for multiplex allergen detection

2021 ◽  
Author(s):  
Georgina M.S. Ross
Keyword(s):  
Allergen Detection

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.

Shellfish Allergy Taking the Allergenomics Approach towards Improved Allergen Detection and Diagnostics

Food Allergy ◽  
2017 ◽  
pp. 205-224
Author(s):  
Sandip D. Kamath ◽  
Andreas L. Lopata
Keyword(s):  
Allergen Detection ◽  
Shellfish Allergy

Mustard Allergen Detection

2010 ◽  
pp. 445-450
Author(s):  
Anne E. Ryan ◽  
Michael S. Ryan
Keyword(s):  
Allergen Detection

Japanese Regulations and Buckwheat Allergen Detection

2010 ◽  
pp. 293-309 ◽  
Author(s):  
Hiroshi Akiyama ◽  
Shinobu Sakai ◽  
Reiko Adachi ◽  
Reiko Teshima
Keyword(s):  
Allergen Detection

scholarly journals Qualitative Polymerase Chain Reaction Methods for Detecting Major Food Allergens (Peanut, Soybean, and Wheat) by Using Internal Transcribed Spacer Region

2009 ◽  
Vol 92 (5) ◽  
pp. 1464-1471 ◽  
Author(s):  
Takashi Hirao ◽  
Satoshi Watanabe ◽  
Yusuke Temmei ◽  
Masayuki Hiramoto ◽  
Hisanori Kato
Keyword(s):  
Internal Transcribed Spacer ◽  
Its Region ◽  
Detection Methods ◽  
Target Species ◽  
Internal Transcribed Spacer Region ◽  
Qualitative Polymerase Chain Reaction ◽  
Target Dna ◽  
Allergen Detection ◽  
Specific Amplification ◽  
Polymerase Chain

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.

scholarly journals Fluorescence‐based quantitative platform for ultrasensitive food allergen detection: From immunoassays to DNA sensors

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

Discovery of highly conserved unique peanut and tree nut peptides by LC–MS/MS for multi-allergen detection

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

Matrix effect on food allergen detection – A case study of fish parvalbumin

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