Cross-reactivity by botanicals used in dietary supplements and spices using the multiplex xMAP food allergen detection assay (xMAP FADA)

2018 ◽  
Vol 410 (23) ◽  
pp. 5791-5806 ◽  
Author(s):  
Ronnie O. Pedersen ◽  
William L. Nowatzke ◽  
Chung Y. Cho ◽  
Kerry G. Oliver ◽  
Eric A. E. Garber
2017 ◽  
Vol 409 (25) ◽  
pp. 5999-6014 ◽  
Author(s):  
Chung Y. Cho ◽  
Carolyn Oles ◽  
William Nowatzke ◽  
Kerry Oliver ◽  
Eric A.E. Garber

2019 ◽  
Vol 83 (1) ◽  
pp. 129-135 ◽  
Author(s):  
CHUNG Y. CHO ◽  
KATHERINE O. IVENS ◽  
WILLIAM L. NOWATZKE ◽  
JASON ROBOTHAM ◽  
MANSOUR SAMADPOUR ◽  
...  

ABSTRACT An estimated 0.1 to 0.2% of the North American population is allergic to sesame, and deaths due to anaphylactic shock have been reported. Detecting and quantifying sesame in various food samples is critical to safeguard the allergic population by ensuring accurate ingredient labeling. Because of the modular nature of the xMAP Food Allergen Detection Assay (FADA), it was possible through method extension to add sesame as a validated additional analyte. Because raw and toasted sesame are both commonly used and the two display significantly different antigenicity, three antibodies, one monoclonal and two polyclonal, were conjugated to bead sets to ensure reliable detection. The modified xMAP FADA successfully detected sesame incurred or spiked in baked muffins, spice mix, canola oil, and in both raw and toasted sesame oils with limit of quantitation values ≤ 1.3 ppm of sesame. Canola oil, sesame oil, toasted sesame oil, and olive oil inhibited sesame detection, as did the detection of sesame incurred in foods containing oil (e.g., hummus). Despite this inhibition, the xMAP FADA was still able to reliably detect sesame at levels throughout the dynamic range of the assay (22 to 750 ng of protein per mL) in all the foods examined. Further, the high signal-to-noise ratio of the lowest calibration standard and preliminary studies conjugating the antibodies at higher concentrations indicate an ability to increase the sensitivity of the assay should the need arise. HIGHLIGHTS


PLoS ONE ◽  
2020 ◽  
Vol 15 (7) ◽  
pp. e0234899
Author(s):  
Eric A. E. Garber ◽  
Chung Y. Cho ◽  
Prasad Rallabhandi ◽  
William L. Nowatzke ◽  
Kerry G. Oliver ◽  
...  

2020 ◽  
Vol 83 (6) ◽  
pp. 1050-1056 ◽  
Author(s):  
PRASAD RALLABHANDI ◽  
CHUNG Y. CHO ◽  
WILLIAM L. NOWATZKE ◽  
KERRY G. OLIVER ◽  
ERIC A. E. GARBER

ABSTRACT The xMAP food allergen detection assay (xMAP FADA) can simultaneously detect 15 analytes (14 food allergens plus gluten) in one analysis. The xMAP FADA typically employs two antibody bead sets per analyte, providing built-in confirmation that is not available with other antibody-based assays. Before an analytical method can be used, its reliability must be assessed when conditions of the assay procedure are altered. This study was conducted to determine the effects on assay performance associated with changes in incubation temperature, amounts of the antibody bead cocktail, and concentrations of detection antibody and β-mercaptoethanol in the reduced-denatured extraction buffer. The analysis of buffered-detergent extracts revealed lower responses at 22°C than at 37°C, but temperature had no effect on the analysis of reduced-denatured extracts. Changes in β-mercaptoethanol and detection antibody concentrations had an effect on the detection of only milk in the reduced-denatured extracts. A slight change in the measured bead count was observed when one-fourth of the bead cocktail was used, and a large decrease in the bead count was noted when one-eighth of the recommended amount was used, but this number (≥25) was still sufficient to provide reliable results. Overall, the xMAP FADA was very robust to changes in the assay procedure, which may inadvertently occur. HIGHLIGHTS


2018 ◽  
Vol 67 (1) ◽  
pp. 484-498 ◽  
Author(s):  
William L. Nowatzke ◽  
Kerry G. Oliver ◽  
Chung Y. Cho ◽  
Prasad Rallabhandi ◽  
Eric A. E. Garber

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.


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