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 412503
Title An indicator based 'traffic light' model to pro-actively assess the occurrence of mycotoxins in tree nuts
Author(s) Jeurissen, S.M.F.; Seyhan, F.; Kandhai, M.C.; Dekkers, S.; Booij, C.J.H.; Bos, P.M.J.; Fels, H.J. van der
Source World Mycotoxin Journal 4 (2011)4. - ISSN 1875-0710 - p. 405 - 412.
Department(s) Sub-department of Toxicology
RIKILT - Business Unit Safety & Health
PRI BIOINT Ecological Interactions
Rikilt B&T Novel Foods en Agroketens
Publication type Refereed Article in a scientific journal
Publication year 2011
Keyword(s) corylus-avellana l. - aspergillus-parasiticus - aflatoxin production - temperature - growth - flavus
Abstract This paper proposes an indicator based 'traffic light' model as a tool to pro-actively assess the occurrence of mycotoxins in tree nuts. The model is built using a holistic approach and, consequently, uses indicators from inside and outside the tree nut production chain as the basic elements. Temperature and relative humidity (pre-harvest), harvest and drying, storage and transport conditions, crop variety and crop damage were selected as indicators. For these indicators, measurable sub-indicators (model parameters) and risk categories were defined. With these insights, a 'traffic light' model was proposed that indicates the possible risk of occurrence of mycotoxins with colour signals; 'red' indicates high risk, 'yellow' medium risk, and 'green' low risk. The current model is specified for aflatoxins in hazelnuts but can easily be adapted for other mycotoxins and/or tree nuts. Governmental organisations and the commercial sector may use such a model to anticipate on the potential presence of mycotoxins by proactive risk management.
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