<p>This document specifies requirements and gives guidance for the estimation and expression of measurement uncertainty (MU) associated with quantitative results in microbiology of the food chain.</p>
<p>It is applicable to the quantitative analysis of:</p>
<p>— products intended for human consumption or the feeding of animals;</p>
<p>— environmental samples in the area of food production and food handling;</p>
<p>— samples at the stage of primary production.</p>
<p>The quantitative analysis is typically carried out by enumeration of microorganisms using a colony-count technique. This document is also generally applicable to other quantitative analyses, including:</p>
<p>— most probable number (MPN) techniques;</p>
<p>— instrumental methods, such as impediometry, adenosine triphosphate (ATP) and flow cytometry;</p>
<p>— molecular methods, such as methods based on quantitative polymerase chain reaction (qPCR).</p>
<p>The uncertainty estimated by this document does not include systematic effects (bias).</p>
Registration number (WIID)
71899
Scope
<p>This document specifies requirements and gives guidance for the estimation and expression of measurement uncertainty (MU) associated with quantitative results in microbiology of the food chain.</p>
<p>It is applicable to the quantitative analysis of:</p>
<p>— products intended for human consumption or the feeding of animals;</p>
<p>— environmental samples in the area of food production and food handling;</p>
<p>— samples at the stage of primary production.</p>
<p>The quantitative analysis is typically carried out by enumeration of microorganisms using a colony-count technique. This document is also generally applicable to other quantitative analyses, including:</p>
<p>— most probable number (MPN) techniques;</p>
<p>— instrumental methods, such as impediometry, adenosine triphosphate (ATP) and flow cytometry;</p>
<p>— molecular methods, such as methods based on quantitative polymerase chain reaction (qPCR).</p>
<p>The uncertainty estimated by this document does not include systematic effects (bias).</p>
