Abstract
Zearalenone (ZEN) is a prevalent mycotoxin that needs intensive monitoring. A semi-quantitative and quantitative immunochromatographic assay (ICA) was assembled for investigating ZEN contamination in 187 samples of cereal and their products from China in 2019. The semi-quantitative detection model had a limit of detection (LOD) of 0.50 ng/mL with visual judgment and could be completely inhibited within 5 min at 3.0 ng/mL ZEN. The quantitative detection model had a lower LOD of 0.25 ng/mL, and ZEN could be accurately and digitally detected from 0.25–4.0 ng/mL. The ICA method had a high sensitivity, specificity, and accuracy for on-site ZEN detection. For investigation of the authentic samples, the ZEN-positive rate was 62.6%, and the ZEN-positive levels ranged from 2.7 to 867.0 ng/g, with an average ZEN-positive level being 85.0 ng/g. Of the ZEN-positive samples, 6.0% exceeded the values of the limit levels. The ZEN-positive samples were confirmed to be highly correlated using LC-MS/MS (R2 = 0.9794). This study could provide an efficiency and accuracy approach for ZEN in order to achieve visual and digitized on-site investigation. This significant information about the ZEN contamination levels might contribute to monitoring mycotoxin occurrence and for ensuring food safety.
Highlights
Zearalenone (ZEN) is a common secondary metabolite from the Fusarium species, which has become one of the most widespread mycotoxins and has caused substantial economic losses to grains around the world [1,2]
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Summary
Zearalenone (ZEN) is a common secondary metabolite from the Fusarium species, which has become one of the most widespread mycotoxins and has caused substantial economic losses to grains around the world [1,2]. ZENcontamination contamination rate large number of samples to be examined, a rate andand the the large number of samples to be examined, a higher higher performance detection method for ZEN was developed and improved in this study. For this performance detection method for ZEN was developed and improved in this study. For this purpose, purpose, practical based on twomodels judgment models for the semi‐quantitative detection and a practicala ICA basedICA on two judgment for the semi-quantitative detection and quantitative quantitative detection of ZEN was developed applied in authentic cereals and1).feeds Two models of result judgment for the immunochromatographic assay (ICA)
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