| Literature DB >> 32866515 |
Thomas Holzhauser1, Philip Johnson2, James P Hindley3, Gavin O'Connor4, Chun-Han Chan5, Joana Costa6, Christiane K Fæste7, Barbara J Hirst8, Francesca Lambertini9, Michela Miani10, Marie-Claude Robert11, Martin Röder12, Stefan Ronsmans13, Zsuzsanna Bugyi14, Sándor Tömösközi15, Simon D Flanagan16.
Abstract
Food allergy affects up to 6% of Europeans. Allergen identification is important for the risk assessment and management of the inadvertent presence of allergens in foods. The VITAL® initiative for voluntary incidental trace allergen labeling suggests protein reference doses, based on clinical reactivity in food challenge studies, at or below which voluntary labelling is unnecessary. Here, we investigated if current analytical methodology could verify the published VITAL® 2.0 doses, that were available during this analysis, in serving sizes between 5 and 500 g. Available data on published and commercial ELISA, PCR and mass spectrometry methods, especially for the detection of peanuts, soy, hazelnut, wheat, cow's milk and hen's egg were reviewed in detail. Limit of detection, quantitative capability, matrix compatibility, and specificity were assessed. Implications by the recently published VITAL® 3.0 doses were also considered. We conclude that available analytical methods are capable of reasonably robust detection of peanut, soy, hazelnut and wheat allergens for levels at or below the VITAL® 2.0 and also 3.0 doses, with some methods even capable of achieving this in a large 500 g serving size. Cow's milk and hen's egg are more problematic, largely due to matrix/processing incompatibility. An unmet need remains for harmonized reporting units, available reference materials, and method ring-trials to enable validation and the provision of comparable measurement results.Entities:
Keywords: Allergen detection; Allergen quantification; ELISA; Mass spectrometry; PCR; VITAL
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Year: 2020 PMID: 32866515 DOI: 10.1016/j.fct.2020.111709
Source DB: PubMed Journal: Food Chem Toxicol ISSN: 0278-6915 Impact factor: 6.023