European Survey for Hidden Allergens in Food: A Case Study with Peanut and Hazelnut

Baumgertner, S.; Furtler-Leitzenberger, L.; Molinelli, Elisa; Krska, Rudolf; Immer, Ulrike; Schmitt, Kerstin; Bremer, M.G.E.G.; Haasnoot, W.; Danks, Cecilia; Romkies, V.; Reece, Paul; Wilson, Philip B.; Kiening, Martin; Weller, Michael G.; Corsini, Erin M.; Mendonça, Saraspathy Naidoo Terroso Gama de

doi:10.1021/bk-2008-1001.ch023

Cited by 2 publications

(3 citation statements)

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“…Within the products sampled, peanut was the second-most commonly included allergen in PAL, and, despite being detected in all products that listed peanut as an ingredient, was not found in any other products. While this result may relate to our detection limit or use of a roasted peanut flour as a calibrator (Table S1), low peanut contamination rates between 0 and 4.4% have been previously reported in a number of studies across a variety of food products and geographic locations, − although rates reported for products with PAL may be higher. , …”

Section: Resultsmentioning

confidence: 68%

Addressing Complex Matrix Interference Improves Multiplex Food Allergen Detection by Targeted LC–MS/MS

2019

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The frequent use of precautionary food allergen labeling statements such as "may contain" poses challenges to allergic individuals who rely on such labeling to determine whether a food is safe to consume. We developed a multiplexed liquid chromatography-mass spectrometry assay targeting 14 common allergens in order to survey how frequently these precautionary statements indicate allergen contamination and to assess whether variations in precautionary phrasing affect the likelihood of allergen contamination. A survey of 84 foods revealed how scheduled multiple reaction monitoring (MRM) transition interference derived from complex and heterogeneous sample matrices hinders sensitive analyte detection. As a solution, we developed MAtrix-Dependent Interference Correction (MADIC), an approach to sensitively detect trace peptide quantities through interference identification and stringent peptide quality control criteria. Applying this method, we find frequent contamination of soy in breads and corn flour, and observe additional instances of food contamination with tree nuts, wheat, milk, and egg. In some of these cases, the food had no precautionary labeling for the offending allergen. We also find that only 10% of warning labels are indicative of contamination, and that products with "same facility" precautionary labeling are not necessarily less likely to contain trace amounts of allergens than products labeled "may contain.".

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Section: Resultsmentioning

confidence: 68%

Addressing Complex Matrix Interference Improves Multiplex Food Allergen Detection by Targeted LC–MS/MS

2019

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“…The applicability of the iSPR-based allergen screening was validated by analyzing commercially available food samples, seven cookies and three dark chocolates, which were previously used in an EU survey for hazelnut and peanut presence assessment . For comparison, all samples were also analyzed for hazelnut content with an in-house qualitative ELISA and a commercially available, AOAC certified ELISA kit (Figure ).…”

Section: Resultsmentioning

confidence: 99%

“…The absorbance was measured at 450 nm using an ELx808 ultra Microplate Reader (BIO-TEK instruments, USA). Qualitative ELISA for hazelnut protein traces was performed as described previously …”

Section: Methodsmentioning

confidence: 99%

Food Allergens Profiling with an Imaging Surface Plasmon Resonance-Based Biosensor

et al. 2010

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Food allergy is a growing health concern, which currently affects approximately 4% of adults and 8% of infants. For consumer protection purposes, food producers are required by law to disclose on the product label whether a major allergen is used during the production process. The commonly employed monitoring methods are highly laborious, time-consuming, and often expensive when screening for multiple allergens. Here, we utilize imaging surface plasmon resonance (iSPR) in combination with antibody array for rapid, quantitative, and multianalyte food allergens detection. We demonstrate how the use of this technology provides a complete allergen profile within short measurement time and with adequate sensitivity. The successful applicability of this approach is demonstrated by analyzing cookies and dark chocolate products from different manufacturers. Hazelnut content of the tested food products is also determined by enzyme linked immunosorbent assay and is found to correlate well with the hazelnut content determined by iSPR. This newly developed method opens the door to automated and high-throughput allergen analysis, ultimately aiming at providing the consumer with safer food.

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European Survey for Hidden Allergens in Food: A Case Study with Peanut and Hazelnut

Cited by 2 publications

References 0 publications

Addressing Complex Matrix Interference Improves Multiplex Food Allergen Detection by Targeted LC–MS/MS

Addressing Complex Matrix Interference Improves Multiplex Food Allergen Detection by Targeted LC–MS/MS

Food Allergens Profiling with an Imaging Surface Plasmon Resonance-Based Biosensor

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