An indicator based 'traffic light' model to pro-actively assess the occurrence of mycotoxins in tree nuts
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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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| All Time | Past 365 days | Past 30 Days | |
|---|---|---|---|
| Abstract Views | 69 | 51 | 4 |
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An indicator based 'traffic light' model to pro-actively assess the occurrence of mycotoxins in tree nuts
In: World Mycotoxin JournalSearch for other papers by S. Jeurissen in
Current site
Google Scholar
PubMed
Search for other papers by F. Seyhan in
Current site
Google Scholar
PubMed
Search for other papers by M. Kandhai in
Current site
Google Scholar
PubMed
Search for other papers by S. Dekkers in
Current site
Google Scholar
PubMed
Search for other papers by C. Booij in
Current site
Google Scholar
PubMed
Search for other papers by P. Bos in
Current site
Google Scholar
PubMed
Search for other papers by H. van der Fels-Klerx in
Current site
Google Scholar
PubMed
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.
| All Time | Past 365 days | Past 30 Days | |
|---|---|---|---|
| Abstract Views | 69 | 51 | 4 |
| Full Text Views | 9 | 0 | 0 |
| PDF Views & Downloads | 6 | 2 | 0 |
