Evidence map›Paper›PMID 39897646›Full record

ArticleMethodsX2025

Development and validation of a protocol to determine product perception in relation to the moment of the day.

M Visalli, S Plano, C Tortorello, D Vigo, M V Galmarini

Abstract read
In one paragraph

Article in MethodsX, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

M VisalliCentre des Sciences Du Goût et de l'Alimentation, CNRS, INRAE, Institut Agro, Université de Bourgogne, 17 rue Sully, Dijon 21000, France.
S PlanoLaboratorio de Cronofisiología, Universidad Católica Argentina, Argentina.
C TortorelloLaboratorio de Cronofisiología, Universidad Católica Argentina, Argentina.
D VigoLaboratorio de Cronofisiología, Universidad Católica Argentina, Argentina.
M V GalmariniMember of CONICET (Consejo Nacional de Investigaciones Científicas y Tecnológicas), Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronotype refers to an individual's tendency to engage in activities either earlier or later, in alignment with the biological rhythm of their body and its interaction with the environmental cycle. Chronotypes influence food preferences and meal timing, yet most studies rely solely on questionnaires without integrating real-time tasting data. To address this gap, we developed and validated a method to measure sensory perception and examine its variations throughout the day in alignment with circadian rhythms. Fifty-two university students completed the Munich Chronotype Questionnaire and, over four days within a week, they participated in sensory evaluations using a web-based questionnaire. At four daily time slots (morning, midday, afternoon, evening), participants tasted candies and assessed some sensory attributes-sweetness, sourness, bitterness, freshness, and overall flavor-using the Rate-All-That-Apply method. Before each evaluation, they also reported their level of hunger, thirst, tiredness, and willingness to complete the task. Reminders were sent via pre-programmed messages to ensure adherence to the schedule. The results demonstrate the feasibility of the method, with low attrition rates and consistent participant motivation over the study period. Sensory perception was found to vary across the day and in relation to chronotype, highlighting the method's potential for advancing research in sensory chrononutrition.•A web-based questionnaire including tasting was developed to assess sensory perception at different times of the day over four days.•Perception was analyzed in relation to chronotype.•Face validity was confirmed, as significant variations based on chronotypes were observed.

Indexed as

ChronobiologyChronotypeMoment specific Rate-All-That-ApplySleepTaste perception

Identifiers

PMID39897646
PMCPMC11787420

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.