Validation of rapid descriptive sensory methods against conventional descriptive analyses: A systematic review.

Systematic review accuracy conventional descriptive profile rapid descriptive test sensory evaluation

Journal

Critical reviews in food science and nutrition
ISSN: 1549-7852
Titre abrégé: Crit Rev Food Sci Nutr
Pays: United States
ID NLM: 8914818

Informations de publication

Date de publication:
2019
Historique:
pubmed: 4 4 2018
medline: 1 2 2020
entrez: 4 4 2018
Statut: ppublish

Résumé

A major drawback of conventional descriptive profile (CDP) in sensory evaluation is the long time spent in panel training. Rapid descriptive methods (RDM) have increased significantly. Some of them have been compared with CDP for validation. In Health Sciences, systematic reviews (SR) are performed to evaluate validation of diagnostic tests in relation to a gold standard method. SR present a well-defined protocol to summarize research evidence and to evaluate the quality of the studies with determined criteria. We adapted SR protocol to evaluate the validation of RDM against CDP as satisfactory procedures to obtain food characterization. We used "Population Intervention Comparison Outcome Study - PICOS" framework to design the research in which "Population" was food/ beverages; "intervention" were RDM, "Comparison" was CDP as gold standard, "Outcome" was the ability of RDM to generate similar descriptive profiles in comparison with CDP and "Studies" was sensory descriptive analyses. The proportion of studies concluding for similarity of the RDM with CDP ranged from 0% to 100%. Low and moderate risk of bias were reached by 87% and 13% of the studies, respectively, supporting the conclusions of SR. RDM with semi-trained assessors and evaluation of individual attributes presented higher percentages of concordance with CDP.

Identifiants

pubmed: 29611715
doi: 10.1080/10408398.2018.1459468
doi:

Types de publication

Journal Article Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

2535-2552

Auteurs

Lorena Andrade de Aguiar (LA)

College of Health Sciences, University of Brasilia , Campus Darcy Ribeiro, Asa Norte, Brasilia , Brazil.

Lauro Melo (L)

College of Health Sciences, University of Brasilia , Campus Darcy Ribeiro, Asa Norte, Brasilia , Brazil.

Lívia de Lacerda de Oliveira (L)

Department of Biochemical Engineering, School of Chemistry, Federal University of Rio de Janeiro , Rio de Janeiro, Brazil.

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Classifications MeSH