Evidence map›Paper›PMID 39944672›Full record

ReviewFood science and biotechnology2025

Advances in 3D food printing technology: innovation and applications in the food industry.

P Fathima Rinshana, Balakrishnan Murugesan, Yeon Ho Kim, Ramalakshmi Alaguthevar, Jong-Whan Rhim

Abstract readReview
In one paragraph

Review in Food science and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Multifunctional Effects of Peach Palm (Foods (Basel, Switzerland) · 2026
    Article
  2. Review
  3. Review
  4. Review
  5. 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.

P Fathima RinshanaDepartment of Food Process Engineering, Tamil Nadu Agricultural University, Tamil Nadu, Coimbatore, 641 003 India.
Balakrishnan MurugesanDepartment of Food Process Engineering, Tamil Nadu Agricultural University, Tamil Nadu, Coimbatore, 641 003 India.
Yeon Ho KimDepartment of Food and Nutrition, BioNanocomposite Research Center, Kyung Hee University, Seoul, 02447 Republic of Korea.
Ramalakshmi AlaguthevarDepartment of Food Process Engineering, Tamil Nadu Agricultural University, Tamil Nadu, Coimbatore, 641 003 India.
Jong-Whan RhimDepartment of Food and Nutrition, BioNanocomposite Research Center, Kyung Hee University, Seoul, 02447 Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three-dimensional (3D) food printing technology is rapidly emerging and offers endless innovation opportunities for the food business. The introduction of 3D food printing technology is transforming the food industry and providing new perspectives on food innovation. This technology allows for complex food compositions, customized nutritional options, and innovation, such as alternative meat and organoids. The potential of remote and automated food production opens up new possibilities for future food production. This review aims to provide an update on the field by highlighting the different technologies used in 3D food printing and their advantages and challenges. To this end, this review explores the integration of 3D food printing to address nutritional foods and 3D cell culture challenges. By providing a comprehensive introduction to current knowledge, this review provides valuable insights into the revolutionary impact of 3D food printing on the food industry and paves the way for future developments and applications.

Indexed as

3D food printingBioprintingCustomized foodPersonalized foodSafety of 3D foodSustainable food

Identifiers

PMID39944672
PMCPMC11811361

What OpenQuestion holds

Textmetadata
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.