Literature DB >> 30711099

Influence of method validation parameters in the measurement uncertainty estimation by experimental approaches in food preservatives analysis.

Luciano Molognoni1, Heitor Daguer2, Iara Regina Dos Santos3, Juliano De Dea Lindner3.   

Abstract

The statistical method of random uncertainties has been adopted for the uncertainty calculation of chemical measurements, since it is a good estimator of the overall uncertainty. Type B (inherited) uncertainties are usually insignificant when compared to type A (experimental) uncertainties. In quantitative measures, the mean is the most probable value of the measurand and the standard deviation of the mean is the best estimate of its standard uncertainty. Measurement uncertainty of qualitative measures may be estimated by the probability of taking right or wrong decisions. Thus, performance data of analytical methods are the main source of uncertainties. However, uncertainties obtained from limited observations should be used with caution to represent the overall uncertainty. This study demonstrated the influence of random uncertainties on the results of experimental approaches to estimate the uncertainty in chemical assays. The different profiles of uncertainty were demonstrated depending on the analytical technique and food composition.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Keywords:  Food analysis; Food composition; Measurement reliability; Preservatives; Qualitative methods; Sulfite

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Year:  2019        PMID: 30711099     DOI: 10.1016/j.foodchem.2018.12.115

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  1 in total

1.  Nitrogen/protein and one-step moisture and ash examination in foodstuffs: Validation case analysis using automated combustion and thermogravimetry determination under ISO/IEC 17025 guidelines.

Authors:  Carolina Cortés-Herrera; Silvia Quirós-Fallas; Eduardo Calderón-Calvo; Randall Cordero-Madrigal; Laura Jiménez; Fabio Granados-Chinchilla; Graciela Artavia
Journal:  Curr Res Food Sci       Date:  2021-11-29
  1 in total

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