Assessment of reproducibility and uncertainty of food microbiology methods: statistical approach of a multi-site laboratory

Autor: Stefania Scuota, Donatella Ottaviani, Annalisa Petruzzelli, Giuliana Blasi, M. Naceur Haouet, Andrea Valiani, Marinella Capuccella, Stefano Fisichella, Enrico Di Raimo
Rok vydání: 2013
Předmět:
Zdroj: Accreditation and Quality Assurance. 18:143-148
ISSN: 1432-0517
0949-1775
DOI: 10.1007/s00769-013-0959-x
Popis: The validation of food microbiology methods and assessment of measurement uncertainty are required for laboratories operating EN ISO/IEC 17025 accreditation systems. This paper aims to describes the statistical approach adopted by a multi-site laboratory to satisfy these requirements and to routinely check the performance of the methods. A validation protocol was performed, reflecting a great variability of experimental conditions, represented by the period of time during which determinations were made, the different laboratories concerned, the large number of technicians involved, the differences in the level of contamination of the matrix analyzed and the operating conditions (equipment, reagents, culture media, environmental conditions, etc.). Despite the very high variability of the experimental conditions, the values of repeatability and reproducibility obtained for the methods were lower than those stated in the respective regulations. In addition, the top-down approach adopted in this study is to be considered effective overtime and allows to randomize all variable factors, including the effects of sensitivity and specificity, in order to simulate the conditions of real reproducibility. A specific Excel spreadsheet was also developed for the routine expression of analytical results. This spreadsheet represents a very useful tool for operators to calculate and routinely check the results, as well as to assess the uncertainty of measurement. This particular quality assessment system is enabling the multi-site laboratory to implement the accuracy, reliability and comparability of the analytical results and to ensure the analytical control of data output.
Databáze: OpenAIRE
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