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Single laboratory validation data and uncertainty estimation of a liquid chromatographic method for determination of aflatoxin B1 in animal feed

in World Mycotoxin Journal
Autor:innen:
M. Nocentini Istituto Zooprofilattico Sperimentale delle Regioni Lazio e Toscana, Sezione di Firenze, Via di Castelpulci 43, 50010 San Martino alla Palma, Florence, Italy

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C. Focardi Istituto Zooprofilattico Sperimentale delle Regioni Lazio e Toscana, Sezione di Firenze, Via di Castelpulci 43, 50010 San Martino alla Palma, Florence, Italy

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S. Ninci Istituto Zooprofilattico Sperimentale delle Regioni Lazio e Toscana, Sezione di Firenze, Via di Castelpulci 43, 50010 San Martino alla Palma, Florence, Italy

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G. Biancalani Istituto Zooprofilattico Sperimentale delle Regioni Lazio e Toscana, Sezione di Firenze, Via di Castelpulci 43, 50010 San Martino alla Palma, Florence, Italy

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In the present work we have validated an analytical method for the determination of aflatoxin B1 in dairy compound feeds and peanut meal. The method is based on a preliminary extraction with a mixture of methanol and water followed by a clean-up step with immunoaffinity column. The content of aflatoxin B1 is then established using reversed-phase high-performance liquid chromatography coupled with fluorescence detection. The method is fully validated by using Certified Reference Materials. Limit of detection is found to be 0.5x10-3 mg/kg. The Bartlett test has shown that the method is affected by a systematic error and as a consequence the results must be corrected for the recovery. The precision is found in all cases lower than those calculated by Horwitz equation. Uncertainty estimation has been performed taking into account the bottom-up approach as stated in the Eurachem/Citac guide. With this method the uncertainty is calculated by the addition of variances for a measurand M when the equation for the calculation of M is based only on multiplications and divisions. The bottom-up approach is a tool which identifies the parameters or working steps with an overly contribution to the total uncertainty, thus offering the chance to improve them. The final uncertainty budget has revealed that the main contributions to global uncertainty are those due to the recovery and to the calibration function.

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