Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 498550
Title Evaluating the performance of gluten ELISA test kits : The numbers do not tell the tale
Author(s) Bruins Slot, I.D.; Bremer, Maria G.E.G.; Fels, Ine van der; Hamer, R.J.
Source Cereal Chemistry 92 (2015)5. - ISSN 0009-0352 - p. 513 - 521.
DOI http://dx.doi.org/10.1094/CCHEM-07-14-0166-R
Department(s) RIKILT - Business unit Dierbehandelingsmiddelen
RIKILT - BU Toxicology Bioassays & Novel Foods
VLAG
Food Chemistry Group
Publication type Refereed Article in a scientific journal
Publication year 2015
Abstract

A wide variety of enzyme-linked immunosorbent assays (ELISAs) are commercially available for gluten detection in food, including new formats and assays with antibodies against relevant gluten epitopes. Nevertheless, problems persist to accurately determine the gluten content of products. In this study, the performance of a set of 14 ELISA kits for gluten detection, representative of the current ELISA methods available on the market, was evaluated. These tests were used to determine gluten content in a series of relevant food matrices varying in complexity. Our results show that, currently, there is no single ELISA method that can accurately detect and quantify gluten in all different matrices. This includes the current type I method R5 as recommended by Codex Alimentarius. We conclude that further improvements are urgently needed and recommend focusing on competitive formats, improving extraction methods, and the detection of relevant gluten peptides (in order of priority).

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