Multi-attribute temporal descriptive methods in sensory analysis applied in food science: Protocol for a scoping
Michel Visalli1, Mara Virginia Galmarini2,3
1Centre des Sciences du Goût et de l'Alimentation, AgroSup Dijon, CNRS, INRAE, Université de Bourgogne Franche-Comté, Dijon, France.
This study outlines a protocol for a scoping review of multi-attribute temporal descriptive methods in sensory analysis. It aims to systematically map existing research on these food science methods.
Area of Science:
- Food Science
- Sensory Analysis
- Temporal Perception
Background:
- Sensory perception is crucial in food evaluation and is a temporal process.
- Various sensory analysis methods exist to study how stimuli processing changes during tasting.
- Current methods vary in attribute characterization, panel requirements, and timing of sample analysis.
Purpose of the Study:
- To present a protocol for a scoping review on multi-attribute temporal descriptive methods in sensory analysis.
- To systematically map and summarize the implementation, usage, and comparison of these methods in food science.
- To establish a standardized guideline for future research and reporting in this field.
Main Methods:
- Protocol developed following PRISMA extension for Scoping Reviews checklist.
- Research question: 'how have multi-attribute temporal descriptive methods been implemented, used and compared in sensory analysis?'.
- Eligibility criteria defined using PICOS framework; data retrieval from Scopus and Web of Science databases.
Main Results:
- The protocol details article retrieval, selection, and analysis procedures.
- A data extraction form will summarize key topics and information pertinent to the review's objectives.
- A quality appraisal process will be applied to included articles and serve as a future guideline.
Conclusions:
- This protocol provides a systematic approach to reviewing multi-attribute temporal descriptive methods in sensory analysis.
- It aims to address the current lack of a comprehensive overview of these food science techniques.
- The protocol includes a framework for quality appraisal and data standardization for future research.
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