Evidence map›Paper›PMID 40124397›Full record

ArticleCurrent research in food science2025

Consumer behavior at sale point and consumption according to strawberry quality: How to use those data to evaluate food waste?

Emma Pignères, Marine Masson, Steven Duret, David Blumenthal, Maëlle-Ahou Gouton, Nathalie Gontard, Hélène Angellier-Coussy, Valérie Guillard, Fanny Coffigniez, Sébastien Gaucel

Abstract read
In one paragraph

Article in Current research in food science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

10 authors.

Emma PignèresJRU IATE, University of Montpellier, INRAE, Institut Agro, 2 Place Pierre Viala, 34060, Montpellier, France.
Marine MassonUniversité Paris-Saclay, INRAE, AgroParisTech, UMR SayFood, 91120, Palaiseau, France.
Steven DuretUniversité Paris-Saclay, INRAE, FRISE, 92761, Antony, France.
David BlumenthalUniversité Paris-Saclay, INRAE, AgroParisTech, UMR SayFood, 91120, Palaiseau, France.
Maëlle-Ahou GoutonUniversité Paris-Saclay, INRAE, AgroParisTech, UMR SayFood, 91120, Palaiseau, France.
Nathalie GontardJRU IATE, University of Montpellier, INRAE, Institut Agro, 2 Place Pierre Viala, 34060, Montpellier, France.
Hélène Angellier-CoussyJRU IATE, University of Montpellier, INRAE, Institut Agro, 2 Place Pierre Viala, 34060, Montpellier, France.
Valérie GuillardJRU IATE, University of Montpellier, INRAE, Institut Agro, 2 Place Pierre Viala, 34060, Montpellier, France.
Fanny CoffigniezJRU IATE, University of Montpellier, INRAE, Institut Agro, 2 Place Pierre Viala, 34060, Montpellier, France.
Sébastien GaucelJRU IATE, University of Montpellier, INRAE, Institut Agro, 2 Place Pierre Viala, 34060, Montpellier, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fresh fruits and vegetables present some of the highest food loss rates, due to their high perishability. The ability to model food waste and loss is key to understanding the levers for its reduction and evaluating which parameters are the most impactful. The highest food waste occurs at consumer level. Therefore, consumer behavior must be understood to accurately model food waste. In the present study, a quantitative consumer survey was performed among 509 French consumers to understand their behavior when purchasing, storing, and eating strawberries. The results of the survey were used to create several purchasing groups, with different purchase intentions and consumption behaviors, and were combined with a state-of-the-art deterioration model to evaluate food waste. Seven scenarios were tested by varying the initial deterioration of strawberries at the supermarket. A first and most expected result of the model was the significant impact of storage management habits (temperature and duration) on the resulting food waste: all the trays that went from 0 to 1% deterioration at the supermarket to more than 95% at consumption were kept in ambient conditions. Moreover, the predicted food waste was between 9.4 and 57.5% depending on the initial deterioration at the supermarket, highlighting the impact of the upstream supply chain before retailers on food waste at the consumer level. Finally, the results showed a non-linear relationship between deterioration and consumption, and thus, food waste. By considering this diversity of consumer behaviors, this model proposes a more accurate link between deterioration and food waste compared with the existing literature.

Indexed as

Consumer behaviorConsumptionFood wasteModellingPurchaseStrawberries

Identifiers

PMID40124397
PMCPMC11930226

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.