Rapid Descriptive Methodologies in Food Sensory Analysis: CATA, Free Choice Profile and Flash Profile

This chapter explores rapid descriptive sensory analysis methodologies (Check-All-That-Apply (CATA), Free Choice Profile (FCP), Flash Profile (FP), Pivot Profile, and Napping®) as efficient alternatives to traditional methods. These techniques enable the collection of reliable data using untrained p...

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Autores principales: Reynaldo J. Silva-Paz, Nicodemo C. Jamanca-Gonzales, Thalia Alexandra Rivera-Ashqui, Amparo Eccoña-Sota
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Publicado: 2025
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author Reynaldo J. Silva-Paz
Nicodemo C. Jamanca-Gonzales
Thalia Alexandra Rivera-Ashqui
Amparo Eccoña-Sota
author_browse Amparo Eccoña-Sota
Nicodemo C. Jamanca-Gonzales
Reynaldo J. Silva-Paz
Thalia Alexandra Rivera-Ashqui
author_facet Reynaldo J. Silva-Paz
Nicodemo C. Jamanca-Gonzales
Thalia Alexandra Rivera-Ashqui
Amparo Eccoña-Sota
author_sort Reynaldo J. Silva-Paz
collection Producción científica
description This chapter explores rapid descriptive sensory analysis methodologies (Check-All-That-Apply (CATA), Free Choice Profile (FCP), Flash Profile (FP), Pivot Profile, and Napping®) as efficient alternatives to traditional methods. These techniques enable the collection of reliable data using untrained panels or consumers, reducing time and costs in food product development. Their theoretical foundations, practical applications, and limitations are discussed: CATA is notable for its simplicity, using predefined lists of terms; FCP captures individual perceptions through free vocabulary; FP combines direct comparison with spontaneous description; Pivot Profile compares samples to a reference product; and Napping® maps similarities among products in a two-dimensional space. Practical aspects highlight the importance of selecting appropriate participants, designing balanced sessions, and employing specific statistical analyses. A case study with muffins illustrates how these techniques discriminate between formulations with different sugar content: CATA identified key attributes (“sweet” and “moist”), FP detected textural differences, and Napping® confirmed similarity-based groupings. In conclusion, these methodologies offer agility without compromising rigor, making them ideal for the food industry. Their selection depends on the study objectives, product complexity, and available resources. Future research could integrate them with advanced sensometric tools to enhance accuracy and product development.
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spelling openalex:W4414337770Rapid Descriptive Methodologies in Food Sensory Analysis: CATA, Free Choice Profile and Flash ProfileReynaldo J. Silva-PazNicodemo C. Jamanca-GonzalesThalia Alexandra Rivera-AshquiAmparo Eccoña-Sotacheck-all-that-applyflash profilenappingconsumer sensory evaluationmuffinssugar contentproduct formulationSensory Analysis and Statistical MethodsFood Nutrient Composition and Product DevelopmentCategorization, perception, and languageThis chapter explores rapid descriptive sensory analysis methodologies (Check-All-That-Apply (CATA), Free Choice Profile (FCP), Flash Profile (FP), Pivot Profile, and Napping®) as efficient alternatives to traditional methods. These techniques enable the collection of reliable data using untrained panels or consumers, reducing time and costs in food product development. Their theoretical foundations, practical applications, and limitations are discussed: CATA is notable for its simplicity, using predefined lists of terms; FCP captures individual perceptions through free vocabulary; FP combines direct comparison with spontaneous description; Pivot Profile compares samples to a reference product; and Napping® maps similarities among products in a two-dimensional space. Practical aspects highlight the importance of selecting appropriate participants, designing balanced sessions, and employing specific statistical analyses. A case study with muffins illustrates how these techniques discriminate between formulations with different sugar content: CATA identified key attributes (“sweet” and “moist”), FP detected textural differences, and Napping® confirmed similarity-based groupings. In conclusion, these methodologies offer agility without compromising rigor, making them ideal for the food industry. Their selection depends on the study objectives, product complexity, and available resources. Future research could integrate them with advanced sensometric tools to enhance accuracy and product development.Book chapterhttps://doi.org/10.5772/intechopen.1011975https://www.intechopen.com/citation-pdf-url/1221957W4414337770enFood science and nutrition2977-81742025-09-16
spellingShingle check-all-that-apply
flash profile
napping
consumer sensory evaluation
muffins
sugar content
product formulation
Sensory Analysis and Statistical Methods
Food Nutrient Composition and Product Development
Categorization, perception, and language
Reynaldo J. Silva-Paz
Nicodemo C. Jamanca-Gonzales
Thalia Alexandra Rivera-Ashqui
Amparo Eccoña-Sota
Rapid Descriptive Methodologies in Food Sensory Analysis: CATA, Free Choice Profile and Flash Profile
title Rapid Descriptive Methodologies in Food Sensory Analysis: CATA, Free Choice Profile and Flash Profile
title_full Rapid Descriptive Methodologies in Food Sensory Analysis: CATA, Free Choice Profile and Flash Profile
title_fullStr Rapid Descriptive Methodologies in Food Sensory Analysis: CATA, Free Choice Profile and Flash Profile
title_full_unstemmed Rapid Descriptive Methodologies in Food Sensory Analysis: CATA, Free Choice Profile and Flash Profile
title_short Rapid Descriptive Methodologies in Food Sensory Analysis: CATA, Free Choice Profile and Flash Profile
title_sort rapid descriptive methodologies in food sensory analysis cata free choice profile and flash profile
topic check-all-that-apply
flash profile
napping
consumer sensory evaluation
muffins
sugar content
product formulation
Sensory Analysis and Statistical Methods
Food Nutrient Composition and Product Development
Categorization, perception, and language
topic_facet check-all-that-apply
flash profile
napping
consumer sensory evaluation
muffins
sugar content
product formulation
Sensory Analysis and Statistical Methods
Food Nutrient Composition and Product Development
Categorization, perception, and language
url https://doi.org/10.5772/intechopen.1011975
https://www.intechopen.com/citation-pdf-url/1221957
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