Evidence map›Paper›PMID 39774968›Full record

ArticleScientific reports2025

Numerical simulation and experimental validation of the oleogel formation from grape seed oil and beeswax.

Zohreh Baratian Ghorghi, Ali Faezian, Samira Yeganehzad, Mohammad Ali Hesarinejad, Alireza Sheikhi Darani, Marcello Fidaleo, Hashem Ahmadi Tighchi

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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. Review
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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.

Zohreh Baratian GhorghiDepartment of Food Sensory and Cognitive Science, Research Institute of Food Science and Technology (RIFST), Mashhad, Iran.
Ali FaezianResearch Institute of Food Science and Technology (RIFST), P.O. Box 91895-157-356, Mashhad, Iran. a.faezian@rifst.ac.ir.
Samira YeganehzadDepartment of Food Sensory and Cognitive Science, Research Institute of Food Science and Technology (RIFST), Mashhad, Iran. s.yeganehzad@rifst.ac.ir.
Mohammad Ali HesarinejadDepartment of Food Sensory and Cognitive Science, Research Institute of Food Science and Technology (RIFST), Mashhad, Iran.
Alireza Sheikhi DaraniMechanical Engineering Department, Sharif University of Technology, Tehran, Iran.
Marcello FidaleoDepartment for Innovation in Biological, Agro-Food, and Forest Systems, University of Tuscia, Viterbo, Italy.
Hashem Ahmadi TighchiMechanical Engineering Department, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study focuses on numerical modeling of the oleogelation process using grape seed oil and beeswax and its validation using experimental approach. The main goal is to investigate how the cooling rate affects this process. The necessary physical and thermal properties of the oleogel for modeling were determined through experiments. Additionally, differential scanning calorimetry was used to characterize phase transitions. The apparent heat capacity method was applied in the numerical modeling to simulate the phase change process, and the energy equation was solved using the finite element method. The numerical model demonstrated a maximum relative error of 5.4%, indicating a strong agreement between the numerical results and experimental data. After validating the numerical model, five different cooling rates were investigated. The findings showed that oleogelation begins near the bottom boundary of the setup and then propagates toward the center. Furthermore, the fraction of the total time required for the phase change to complete varied between 0.35 and 0.04 as the cooling rate decreased. This indicates that slower cooling rates provide more time for heat transfer, allowing for more thorough gelation and completing the phase transition in a smaller fraction of the total time. The proposed model can save time and costs while delivering accurate data on creating a beneficial oleogel.

Indexed as

BeeswaxCooling rateGrape seed oilNumerical simulationOleogelation

Identifiers

PMID39774968
PMCPMC11707145

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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.