Evidence map›Paper›PMID 41877424›Full record

ArticleJournal of food science2026

Corn Oil Oleogel With γ-Oryzanol/β-Sitosterol: Structural, Thermal, Textural, and Oxidative Characterization.

Tuğba Elbir Abca, Hüseyin Gençcelep

Abstract read
In one paragraph

Article in Journal of food science, 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
–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

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

2 authors.

Tuğba Elbir AbcaDepartment of Food Engineering, Faculty of Engineering, Bayburt University, Bayburt, Türkiye.ORCID https://orcid.org/0000-0002-8836-8808
Hüseyin GençcelepDepartment of Food Engineering, Faculty of Engineering, Ondokuz Mayıs University, Samsun, Türkiye.

Funding

Ondokuz Mayis University PYO.MUH.1904.18.015
6 · The paper itself

Abstract

In this study, a corn oil oleogel was prepared using γ-oryzanol and β-sitosterol to create a "healthier solid fat-like" structure aimed at reducing saturated and trans fat consumption. To prepare six different oleogels, a γ-oryzanol:β-sitosterol mixture (60:40) was added to corn oil at concentrations ranging from 6% to 15%. The samples were comprehensively evaluated in terms of oil-binding capacity and color; thermal behavior (including melting/crystallization properties); crystal structure; texture properties (hardness, stickiness, cohesion, and spreadability); molecular interactions and oxidative stability. The findings showed that all formulations had high oil binding capacity and that increasing the oleogelator concentration had a limited effect on oil binding. It has been determined that concentration plays an important role in the product's thermal resistance. Results show that as the oleogelator ratio increases, the structure becomes stronger and more durable; the melting behavior in thermal measurements shifts to higher temperatures. Crystal structure analyses support the formation of an oleogel network, while FTIR results indicate that the structure is formed predominantly through physical interactions. Consequently, it has been demonstrated that corn oil can acquire solid fat-like functional properties through this approach and offers a viable option for developing healthier fat formulations, particularly in spreadable products, margarine, and bakery fats.

Indexed as

Corn OilOrganic ChemicalsPhenylpropionatesSitosterolsCrystallizationOxidation-ReductionSpectroscopy, Fourier Transform InfraredCorn Oilgamma-oryzanolgamma-sitosterololeogelsOrganic ChemicalsPhenylpropionatesSitosterolsDSColeogelsitosterol:oryzanolXRD

Identifiers

PMID41877424
PMCPMC13014022

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.