Evidence map›Paper›PMID 41295329›Full record

ReviewMetabolites2025

Personalized Delivery of Probiotics and Prebiotics via 3D Food Printing.

Jiyoung Yu

Abstract readReview
In one paragraph

Review in Metabolites, 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. Review
  2. Review
  3. Review
  4. Article
  5. Review
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

1 author.

Jiyoung YuDepartment of Convergence, Superstar College, Jeonju University, 303 Cheonjam-ro, Wansan-gu, Jeonju-si 55069, Republic of Korea.ORCID 0000-0002-9936-6269

Funding

Regional Innovation System & Education (RISE) program 2025-RISE-13-JJU
6 · The paper itself

Abstract

Personalized nutrition aims to optimize health by addressing interindividual differences in metabolism, microbiota composition, and dietary responses. Modulating the gut microbiota through probiotics, prebiotics, and synbiotics is promising, yet conventional systems such as capsules or fermented foods offer limited control over dosage, release kinetics, and microbial viability. These formats often cause 2-4 log reductions in viable counts during processing and gastrointestinal transit, underscoring the need for advanced delivery technologies. Three-dimensional (3D) food printing enables digital design of edible matrices with programmable geometry and composition to enhance microbial protection and controlled release. Coaxial and gel-in-gel architectures have retained over 90-96% of probiotic cells after printing and 80-85% after simulated digestion. Synbiotic formulations combining probiotics with fructooligosaccharides or whey protein achieve 98-99% survival and stability for 35 days. This review summarizes advances in formulation, encapsulation, and printing strategies, highlighting how 3D food printing uniquely overcomes challenges of viability, release control, and personalized dosage in microbiota-based nutrition.

Indexed as

3D food printingpersonalized dietsprebioticsprobioticssynbiotics

Identifiers

PMID41295329
PMCPMC12654488

What Socratic 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 Socratic graph.