Evidence map›Paper›PMID 42827891›Full record

ArticleFood chemistry: X2026

Crystallization induced dual networks regulate nonlinear rheology and 3D printability of CNC capillary oleogels.

Bo Xu, Chenyu Bai, Qi Wu, Shuyu Lu, Xinna Hu, Tao Ma, Yi Song

Abstract read
In one paragraph

Article in Food chemistry: X, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Bo XuCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.
Chenyu BaiCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.
Qi WuCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.
Shuyu LuCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.
Xinna HuCollege of Food Engineering and Nutritional Science, Shaanxi Normal University, Xi'an 710119, Shaanxi, China.
Tao MaCollege of Food Engineering and Nutritional Science, Shaanxi Normal University, Xi'an 710119, Shaanxi, China.
Yi SongCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Capillary oleogels are promising materials for 3D printing, yet their printability is limited by the fragile nature of capillary-bridged networks. Here, dual networks were formed by incorporating beeswax crystals into cellulose nanocrystal (CNC) capillary oleogels, generating interconnected capillary and crystallization-induced networks. Microstructural analyses showed that beeswax crystallization promoted CNC aggregation and altered network architecture through physical interactions. Stability analysis revealed that beeswax incorporation improved the oil-holding capacity from 79.28% to 97.07%, while maintaining nearly complete oil retention after repeated freeze-thaw and melt-recrystallization cycles. Rheological measurements demonstrated a non-monotonic effect of beeswax concentration, with low levels weakening capillary connectivity and higher levels forming a reinforcing crystalline network. Nonlinear rheology analysis revealed increasingly constrained intracycle structural evolution in stronger networks. These rheological characteristics translated into improved extrusion behavior and shape fidelity during 3D printing. This work establishes a structure-rheology-printability framework for rational design of oleogel-based printing materials.

Indexed as

3D printingCapillary oleogelsCellulose nanocrystalsRheology

Identifiers

PMID42827891
PMCPMC13632094

What OpenQuestion holds

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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.