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Simultaneous quantification of Two Neonicotinoids using QuERChERS-LC-MS/MS in Moroccan Spearmint (Mentha Spicata.L): Qualimetry of the method by Uncertainty estimation using Generalized Pivotal Quantities approach and Monte Carlo simulation.

Hicham AazizTaoufiq SaffajYassine Hameda BenchekrounBouchaib Ihssane
Published in: Journal of AOAC International (2023)
Application of a full validation strategy based on the validation and uncertainty assessment for the quantification of two main Neonicotinoids in Mentha Spicata.L using QuEChERS- LC-MS/MS. This qualimetric has been conducted by computing of the measurement uncertainty of the method utilizing data from analytical validation under conditions of intermediate precision at each level of concentration without additional effort, after that we have demonstrate the flexibility of this strategy for the LC-MS/MS quantification of acetamiprid and imidacloprid, using a decision tool that enables the choice and modification of β-content and γ-confidence values.
Keyphrases
  • monte carlo
  • ms ms
  • electronic health record
  • liquid chromatography tandem mass spectrometry
  • decision making
  • simultaneous determination
  • mass spectrometry
  • machine learning
  • artificial intelligence
  • virtual reality