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Related Experiment Videos

Uncertainty in aflatoxin B1 analysis using information from proficiency tests.

Alicia Maroto1, Ricard Boqué, Jordi Riu

  • 1Departament de Química Analítica i Química Orgànica, Universitat Rovira i Virgili, C/Marcel.lí Domingo, s/n (Campus Sescelades), 43007, Tarragona (Catalunya), Spain.

Analytical and Bioanalytical Chemistry
|June 29, 2005
PubMed
Summary

Calculating uncertainty for aflatoxin B(1) in nuts and maize is simplified using proficiency test data. This method efficiently groups uncertainty sources, yielding a relative standard uncertainty of 16.3% for aflatoxin B(1) determination.

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Area of Science:

  • Analytical Chemistry
  • Food Safety
  • Chemical Measurement

Background:

  • Accurate determination of aflatoxin B(1) is crucial for food safety, particularly in commodities like nuts and maize.
  • Quantifying measurement uncertainty is essential for reliable analytical results.
  • Existing methods for uncertainty calculation can be labor-intensive.

Purpose of the Study:

  • To present a simplified method for calculating measurement uncertainty in aflatoxin B(1) determination.
  • To utilize data from proficiency testing to streamline uncertainty assessment.
  • To validate the proposed method for HPLC analysis of aflatoxin B(1) in complex matrices.

Main Methods:

  • High-performance liquid chromatography (HPLC) with pre-derivatization using trifluoroacetic acid and fluorescence detection was employed.

Related Experiment Videos

  • Uncertainty was calculated using data solely from participation in proficiency testing schemes.
  • Sources of uncertainty were categorized into matrix variability/intermediate precision/sample heterogeneity and method concordance.

    • Main Results:

    • The proposed methodology allows for easy calculation of uncertainty without additional experimental work.
    • Uncertainty values were determined for aflatoxin B(1) concentrations ranging from 2 to 20 µg L⁻¹.
    • A relative standard uncertainty of 16.3% was computed for aflatoxin B(1) determination.

    Conclusions:

    • Proficiency testing data provides a practical and efficient basis for calculating measurement uncertainty.
    • The described approach simplifies uncertainty assessment for aflatoxin B(1) analysis in nuts and maize.
    • This method offers a valuable tool for laboratories involved in mycotoxin testing to ensure data quality.