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Undertaking a New Regulatory Challenge: Monitoring of Ergot Alkaloids in Italian Food Commodities.

Veronica Maria Teresa LattanzioEmanuela VerdiniStefano SdogatiAngela CaporaliBiancamaria CiascaIvan Pecorelli
Published in: Toxins (2021)
The present manuscript reports on monitoring data of 12 ergot alkaloids (EAs) in cereal and cereal-derived products, collected in Italy over the period 2017-2020, for official control purposes under the edge of the Commission Recommendation 2012/154/EU on the monitoring of the presence of EAs in feed and food. To these purposes, an LC-MS/MS method was set up and applied, after in-house verification of its analytical performance. Besides satisfactory recoveries and precision, the method's quantification limits proved suitable to assess the compliance of cereals and cereal-based foods with the recently issued EU maximum permitted levels (Commission Regulation 2021/1399/EU). The validity of the generated data was also evaluated through the adoption of four proficiency tests, from which acceptable z-score values (-2 ≤ z ≤ 2) were obtained. The method was then applied to analyse a total of 67 samples, collected in Italy over the period 2017-2020. The samples consisted of 18 cereal grains, 16 flours (14 of wheat and 2 of spelt) and 31 other types of cereals derivatives (including 9 for infants). Overall, the EAs analysis returned a high percentage of left-censored data (>86%). Among the positive samples, the highest contamination levels, up to 94.2 µg/kg, were found for ergocristine (12% incidence), followed by ergocristinine (7% incidence) with levels of up to 48.3 µg/kg.
Keyphrases
  • electronic health record
  • big data
  • risk factors
  • human health
  • risk assessment
  • machine learning
  • adverse drug
  • drinking water
  • mass spectrometry
  • heavy metals
  • deep learning
  • health risk