Evidence map›Paper›PMID 40260062›Full record

ArticleFood science & nutrition2025

Sensory Analysis of Vegan Acibadem Cookie Produced From Aquafaba in Terms of Consumers and Evaluation of Purchase Intention.

Samet Can Aksu, Yılmaz Seçim

Abstract read
In one paragraph

Article in Food science & nutrition, 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
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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

2 authors.

Samet Can AksuDepartment of Gastronomy and Culinary Arts Tourism Faculty, Ordu University Ordu Türkiye.ORCID https://orcid.org/0000-0002-9977-9768
Yılmaz SeçimDepartment of Gastronomy and Culinary Arts, Tourism Faculty Necmettin Erbakan University Konya Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, a standard recipe for the vegan version of acibadem cookies, one of the important desserts in Turkish cuisine, was created. Within the scope of this study, the impact of sensory attributes on purchase intention was examined through the willingness to pay premium price. While investigating the effects of sensory attributes on purchase intention, it was also explored whether demographic factors such as income perception and dietary style revealed significant differences. The vegan product developed as part of the research contains no animal products and includes chickpea cooking water, known as aquafaba. Thus, the product was developed in accordance with the zero-waste principle and made suitable for all dietary styles. The primary aim here was to develop an environmentally friendly product that also provides sensory satisfaction suitable for all dietary preferences. For this purpose, sensory analysis was conducted with 40 vegan, 40 vegetarian, and 40 omnivore participants. According to the research data, the overall appreciation for the developed product was rated as "good," with scores of 4 and above across all dietary styles. Vegans showed the highest purchase intention among the dietary groups, followed by vegetarians. Regression analysis showed that the overall taste of the product significantly influenced purchase intention. It was found that if the sensory attributes of a developed vegan food product are liked, there is a willingness to pay a premium price across all dietary styles. The results show that if a product with a certain sensory competence is produced, regardless of the dietary style it caters to, it can achieve a high purchase intention. This outcome is thought to provide insights for companies producing vegan products on how they can appeal to a broader market.

Indexed as

aquafabapurchase intentionveganwillingness to pay premium price

Identifiers

PMID40260062
PMCPMC12010194

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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.