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.

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Record number 536490
Title Consumer-friendly food allergen detection : moving towards smartphone-based immunoassays
Author(s) Ross, Georgina M.S.; Bremer, Monique G.E.G.; Nielen, Michel W.F.
Source Analytical and Bioanalytical Chemistry 410 (2018)22. - ISSN 1618-2642 - p. 5353 - 5371.
DOI https://doi.org/10.1007/s00216-018-0989-7
Department(s) RIKILT - Business unit Dierbehandelingsmiddelen
VLAG
RIKILT - Sample Administration and Coordination
Laboratory for Organic Chemistry
Publication type Refereed Article in a scientific journal
Publication year 2018
Keyword(s) Citizen science - Consumer - Food allergen - Immunoassay - Multiplex - Smartphone
Abstract In this critical review, we provide a comprehensive overview of immunochemical food allergen assays and detectors in the context of their user-friendliness, through their connection to smartphones. Smartphone-based analysis is centered around citizen science, putting analysis into the hands of the consumer. Food allergies represent a significant worldwide health concern and consumers should be able to analyze their foods, whenever and wherever they are, for allergen presence. Owing to the need for a scientific background, traditional laboratory-based detection methods are generally unsuitable for the consumer. Therefore, it is important to develop simple, safe, and rapid assays that can be linked with smartphones as detectors to improve user accessibility. Smartphones make excellent detection systems because of their cameras, embedded flash functions, portability, connectivity, and affordability. Therefore, this review has summarized traditional laboratory-based methods for food allergen detection such as enzyme-linked-immunosorbent assay, flow cytometry, and surface plasmon resonance, and the potential to modernize these methods by interfacing them with a smartphone readout system, based on the aforementioned smartphone characteristics. This is the first review focusing on smartphone-based food-allergen detection methods designed with the intention of being consumer-friendly. [Figure not available: see fulltext.]
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