Evidence map›Paper›PMID 42164929›Full record

ArticleJournal of food science and technology2026

Understanding the intention of consumers towards 3D food printing: exploratory study of psychological factors and sensory analysis.

Mohammed A Bareen, Sangeeta Prakash, Jatindra K Sahu, Bhesh Bhandari, Satyanarayan Naik

Abstract read
In one paragraph

Article in Journal of food science and technology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. 3D-Printable Chontaduro (Gels (Basel, Switzerland) · 2026
    Article
  2. 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

5 authors.

Mohammed A BareenUniversity of Queensland- IIT Delhi Academy of Research (UQIDAR), New Delhi, 110016 India.
Sangeeta PrakashSchool of Agriculture and Food Sustainability, The University of Queensland, Brisbane, QLD 4072 Australia.ORCID 0000-0002-1297-3948
Jatindra K SahuFood Customization and Research Lab, Centre for Rural Development and Technology, Indian Institute of Technology Delhi, New Delhi, 110016 India.
Bhesh BhandariSchool of Agriculture and Food Sustainability, The University of Queensland, Brisbane, QLD 4072 Australia.
Satyanarayan NaikFood Customization and Research Lab, Centre for Rural Development and Technology, Indian Institute of Technology Delhi, New Delhi, 110016 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examines consumer acceptance and behavioral intentions towards 3D food printing (3DFP) technology for household use, shedding light on factors influencing its market adoption. Integrating constructural level theory with novel product acceptance research, the study identifies satisfaction as a critical mediator between prior knowledge of 3D food printing, consumer innovativeness & adaptability, and behavioral intentions. Prior knowledge of 3D food printing and consumer innovativeness and adaptability significantly predict behavioral intentions (β = 0.807* and β = 0.605*, respectively), with satisfaction also playing a direct positive role (β = 0.366*). Conversely, Novel Technology Neophobia negatively impacts behavioral intentions (β = -0.027). Satisfaction mediates the effects of prior knowledge of 3D food printing and consumer innovativeness & adaptability on behavioral intentions (β = 0.406* and β = 0.200*). A sensory evaluation by a semi-trained panel ( Supplementary Information: The online version contains supplementary material available at 10.1007/s13197-025-06261-8.

Indexed as

Confirmatory composite analysisConsumer demographicsInfill patternSimple random samplingStructural equation modeling

Identifiers

PMID42164929
PMCPMC13184009

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.