DPS
Drejtoria e Përgjithshme e Standardizimit
Tel/Cel: +355 4 222 62 55
E-mail: info@dps.gov.al
Adresa: Rr.: "Reshit Collaku", (pranë ILDKPKI, kati VI), Kutia Postare 98, Tiranë - Shqipëri
Main menu

ISO/TS 16393:2019

Molecular biomarker analysis — Determination of the performance characteristics of qualitative measurement methods and validation of methods
1 mar 2019

General information

60.60     1 mar 2019

ISO

ISO/TC 34/SC 16

Technical Specification

67.050  

frëngjisht   anglisht  

Buying

Publikuar

Language in which you want to receive the document.

Scope

This document specifies methods that yield a binary result and are used for the determination in food or food products (including seeds of food crops) of the presence of molecular biomarkers. These methods are typically used where the measurand is expected to be present in very small amounts and concentrations at the limit of detection (LOD).
Methods are validated in terms of the probability of detection (POD) and of the precision of the POD. They do not rely on the concept of false positive/false-negative results, or the concept of LOD. However, inferences about the precision of the classical LOD can be made.
This document describes the extent of method validation. The annexes provide different statistical models that can be considered depending on the analytical method, structure of data and statistical experience.
This document does not apply to quantitative methods that are used to make a detection decision by comparing the value of a response to a cut-off value using a quantitative method, where the methods are validated by using quantitative statistics on the responses. This document also does not apply to microbiological test methods, starch, essential oils or quantitative methods.

Life cycle

NOW

PUBLISHED
ISO/TS 16393:2019
60.60 Standard published
1 mar 2019

Preview

Only informative sections of projects are publicly available. To view the full content, you will need to members of the committee. If you are a member, please log in to your account by clicking on the "Log in" button.

Login