Duplo
Application for calculating the uncertainty of quantitative microbiological measurements
About Duplo
Uncertainty is a parameter that defines the range of values within which the measured quantity is expected to lie.
Microbiological uncertainty is important to ensure the quality, reliability, and accuracy of analytical results, as well as to ensure the safety of food products and the environment. This knowledge helps identify health risks, standardize laboratory procedures, and inform informed decisions regarding disease prevention or treatment.
This new version includes uncertainties related to product quality consistency, laboratory staff reliability, and laboratory competency levels.
Users can select relevant uncertainties and input lab observation data into the application to obtain precise uncertainty values (with 95% confidence limits).
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