Projects per year
Abstract
(AFB₁) in maize and wheat using LFD and LC-HRMS, respectively. The results of analyses were used to calculate intermediate precision (RSDip, covering the inter-analyst variability in preparing the analytical samples and the precision under repeatability conditions) cut-off values and false suspect rates. RSDip ranged from 6.5% to 30% for DON, and from 16% to 33% for AFB₁. The highest obtained variances were associated with the AFB₁ analyses due to working with much lower mass fractions. The rate of false suspect results were lower than 0.1% for all tested methods. All methods showed a fit-for-purpose method performance profile, which allowed a clear distinction of samples containing the analytes at the screening target concentration (STC) from negative control samples. Moreover, the first time users obtained method performances similar to those obtained for validation studies previously performed on the screening methods included in the training course.
| Original language | English |
|---|---|
| Number of pages | 18 |
| Journal | Toxins |
| Volume | 11 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 20 Feb 2019 |
Keywords
- cereals
- immunoassay
- mass spectrometry
- mycotoxins
- screening
- validation
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EU Referentie laboratorium Mycotoxinen en Plantentoxinen (WOT-02-001-064)
Grzetic Martens, J. (Project Leader)
1/01/18 → 31/12/26
Project: LVVN project
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MycoKey: Integrated and innovative key actions for mycotoxin management in the food and feed chain
1/04/16 → 31/10/20
Project: EU research project
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