UNCERTAINTY FROM SAMPLING IN FOOD MICROBIOLOGY

I. Ljevaković-Musladin
Abstract:
The aim of this study was to estimate uncertainty arising from the sampling of food for microbiological analysis. A balanced experimental design using the duplicate method was a method of choice for empirical estimation of uncertainty. Duplicate test portions were drawn from both test samples and analyzed in duplicate. This approach allowed the estimation of overall measurement uncertainty and its components; analytical uncertainty and sampling uncertainty. Classical ANOVA and Robust ANOVA were used for the calculation. Based on 12 sampling targets of minced meat, uncertainty from sampling was estimated as 0.10-0.11 log10 cfu/g for microbiological parameter aerobic colony count, while analytical uncertainty was 0.04 log10 cfu/g. Estimated uncertainties proved to be fit-for-purpose. Results showed that uncertainty from sampling is the major contributor to overall measurement uncertainty.
Keywords:
measurement uncertainty; sampling; sampling uncertainty; food microbiology
Download:
IMEKO-TC11-2022-21.pdf
DOI:
10.21014/tc11-2022.21
Event details
IMEKO TC:
TC11
Event name:
Joint IMEKO TC11 & TC24 hybrid conference
Title:

Measurement for a better life

Place:
Dubrovnik, CROATIA
Time:
16 October 2022 - 20 October 2022