Sensory cut-off point obtained from survival analysis statistics

In the present work we applied interval-censored survival analysis techniques to estimate sensory cut-off points based on consumer's decision to accept or reject food products taking into account the inherent variability in sensory measurements. We compared the values obtained using this surviv...

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Bibliographic Details
Authors: Garitta, Lorena Garitta, Langohr, Klaus, Gómez, Guadalupe, Hough, Guillermo, Beeren, Cindy
Format: article
Status:Published version
Publication Date:2015
Country:Argentina
Institution:Consejo Nacional de Investigaciones Científicas y Técnicas
Repository:CONICET Digital (CONICET)
Language:English
OAI Identifier:oai:ri.conicet.gov.ar:11336/38308
Online Access:http://hdl.handle.net/11336/38308
Access Level:Open access
Keyword:Cut-Off Point
Interval-Censored Data
Quality Control
Sensory
Shelf Life
Survival Analysis
https://purl.org/becyt/ford/2.11
https://purl.org/becyt/ford/2
Description
Summary:In the present work we applied interval-censored survival analysis techniques to estimate sensory cut-off points based on consumer's decision to accept or reject food products taking into account the inherent variability in sensory measurements. We compared the values obtained using this survival analysis methodology with those obtained by applying a previous regression based method. Cut-off point (COP) estimations were made for acid flavor in yogurt, strawberry flavor in a strawberry flavored drink and appearance quality index in broccoli. For two of these products the regression based cut-off points were unrealistic, and would lead to much too conservative COP's, leading to unnecessary rejection of samples in quality control inspections or very short shelf-lives. For one of the products (strawberry flavored drink), the survival and regression-based COP's were comparable. The survival analysis methodology is recommended for estimating sensory cut-off points in food products.