AI Article Synopsis
- The study analyzed AFB₁ in maize and DON in wheat using two different methods, LFD and LC-HRMS, to investigate their precision and accuracy.
- The RSD values indicated variable precision, with AFB₁ showing higher variability due to lower mass fractions, while false suspect rates remained below 0.1% across methods.
- Overall, the methods demonstrated effective performance, allowing users to reliably distinguish contaminated samples from controls, achieving results comparable to previous validations.
Article Abstract
(AFB₁) in maize and wheat using LFD and LC-HRMS, respectively. The results of analyses were used to calculate intermediate precision (RSD, covering the inter-analyst variability in preparing the analytical samples and the precision under repeatability conditions) cut-off values and false suspect rates. RSD 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.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6410077 | PMC |
| http://dx.doi.org/10.3390/toxins11020129 | DOI Listing |
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