Cena s DPH / bez DPH
Hlavní stránka>BS ISO 8588:2017 Sensory analysis. Methodology. "A". "not A" test
Sponsored link
sklademVydáno: 2017-07-31
BS ISO 8588:2017 Sensory analysis. Methodology. "A". "not A" test

BS ISO 8588:2017

Sensory analysis. Methodology. "A". "not A" test

Formát
Dostupnost
Cena a měna
Anglicky Zabezpečené PDF
K okamžitému stažení
4650 Kč
Čtěte normu po dobu 1 hodiny. Více informací v kategorii E-READING
Čtení normy
na 1 hodinu
465.00 Kč
Čtěte normu po dobu 24 hodin. Více informací v kategorii E-READING
Čtení normy
na 24 hodin
1395.00 Kč
Anglicky Tisk
Skladem
4650 Kč
Označení normy:BS ISO 8588:2017
Počet stran:22
Vydáno:2017-07-31
ISBN:978 0 580 84456 0
Status:Standard
Popis

BS ISO 8588:2017


This standard BS ISO 8588:2017 Sensory analysis. Methodology. "A". "not A" test is classified in these ICS categories:
  • 67.240 Sensory analysis

This document specifies a procedure for determining whether a perceptible sensory difference exists between samples of two products. The method applies whether a difference exists in a single sensory attribute or in several.

The “A” – “not A” test can be used in sensory analysis in the following ways:

  1. as a difference test, particularly for evaluating samples having variations, for example, in appearance (making it difficult to obtain strictly identical repeat samples) or in aftertaste (making direct comparison difficult);

  2. as a recognition test, particularly for determining whether an assessor or group of assessors identifies a new stimulus in relation to a known stimulus (for example, recognition of the quality of the sweet taste of a new sweetener);

  3. as a perception test, to determine the ability of an assessor to discriminate stimuli.

The “A” – “not A” test is not appropriate for assessing if two products are sufficiently similar to be used interchangeably (i.e. for similarity testing) because the “A” – “not A” test inherently involves replicate evaluations of the same products by all assessors. These replicate evaluations violate the basic assumptions for similarity tests to be statistically valid.

Examples of its application are given in Annex B.

NOTE Bi and Ennis[1] point out that the estimate of the discriminal distance, d’, between the “A” and “not A” samples is the same regardless of the nature of the replicated evaluations performed in the test but that the estimate of the variance of d’ does depend on how the replicate evaluations were performed. As such, no general discussion of a Thurstonian analysis of the “A” – “not A” method, nor of the power of the test is undertaken in this document. Interested readers are referred to Reference [1] for a detailed discussion of the topic.