Multi-attribute temporal descriptive methods in sensory analysis applied in food science: a systematic scoping review
Abstract: Among descriptive sensory evaluation methods, temporal methods have a wide audience in food science because they make it possible to follow perception as close as possible to the moment when sensations are perceived. The aim of this work was to describe 30 years of research involving t...
Guardado en:
| Autores principales: | , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
| Publicado: |
Mary Ellen Camire
2024
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| Materias: | |
| Acceso en línea: | https://repositorio.uca.edu.ar/handle/123456789/18328 |
| Aporte de: |
| Sumario: | Abstract:
Among descriptive sensory evaluation methods, temporal methods have a wide
audience in food science because they make it possible to follow perception as
close as possible to the moment when sensations are perceived. The aim of this
work was to describe 30 years of research involving temporal methods by map ping the scientific literature using a systematic scoping review. Thus, 363 research
articles found from a search in Scopus and Web of Science from 1991 to 2022
were included. The extracted data included information on the implementation
of studies referring to the use of temporal methods (details related to subjects,
products, descriptors, research design, data analysis, etc.), reasons why they were
used and the conclusions they allowed to be drawn. Metadata analysis and crit ical appraisal were also carried out. A quantitative and qualitative synthesis of
the results allowed the identification of trends in the way in which the meth ods were developed, refined, and disseminated. Overall, a large heterogeneity
was noted in the way in which the temporal measurements were carried out
and the results presented. Some critical research gaps in establishing the validity
and reliability of temporal methods have also been identified. They were mostly
related to the details of implementation of the methods (e.g., almost no justifi cation for the number of consumers included in the studies, absence of report
on panel repeatability) and data analysis (e.g., prevalence of use of exploratory
data analysis, only 20% of studies using confirmatory analyses considering the
dynamic nature of the data). These results suggest the need for general guide lines on how to implement the method, analyze and interpret data, and report
the results. Thus, a template and checklist for reporting data and results were
proposed to help increase the quality of future research. |
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