Publications by authors named "Reka Haraszi"

Many publications have highlighted that routine ELISA methods do not give rise to equivalent gluten content measurement results. In this study, we assess this variation between results and its likely impact on the enforcement of the EU gluten-free legislation. This study systematically examines the feasibility of harmonizing gluten ELISA assays by the introduction of: a common extraction procedure; a common calibrator, such as a pure gluten extract and an incurred matrix material.

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Unlabelled: Accurate, reliable and sensitive detection methods for gluten are required to support current EU regulations. The enforcement of legislative levels requires that measurement results are comparable over time and between methods. This is not a trivial task for gluten which comprises a large number of protein targets.

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ProPepper is a database that contains prolamin proteins identified from true grasses (Poaceae), their peptides obtained with single- and multi-enzyme in silico digestions as well as linear T- and B-cell-specific epitopes that are responsible for wheat-related food disorders. The integrated database and analysis platform contains datasets that are collected from multiple public databases (UniprotKB, IEDB, NCBI GenBank), manually curated and annotated, and interpreted in three main data tables: Protein-, Peptide- and Epitope list views that are cross-connected by unique identifications. Altogether 21 genera and 80 different species are represented.

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The current essential therapy of celiac disease is a strict adherence to a gluten-free diet. Besides food products that are naturally gluten-free, "very low gluten" and "gluten-free" bakery products have become available. The availability of immunochemical and other analytical methods to determine gluten markers in foods is of utmost importance to ensure the well being of gluten-sensitive individuals.

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Article Synopsis
  • A method using multi-element graphite furnace atomic absorption spectrometry (GFAAS) was developed for detecting arsenic (As), cadmium (Cd), chromium (Cr), copper (Cu), and lead (Pb) in different honey types like acacia and linden.
  • The study compared direct and microwave digestion sample preparation techniques, finding the most effective chemical modifier for optimal testing conditions to be a combination of palladium (Pd) and magnesium nitrate (Mg(NO₃)₂).
  • Results showed acceptable recovery rates for most metals, with detection limits ranging from 0.04 to 1 µg/L for the analyzed elements, indicating the method's effectiveness in assessing heavy metal contamination in honey samples.
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