Evidence map›Paper›PMID 39962482›Full record

ArticleBMC chemistry2025

Application of fatty acid-based eutectic mixture as a phase change material in microencapsulation of drugs: preparation, characterization and release behavior.

Fariba Ghaffari, Hemayat Shekaari

Abstract read
In one paragraph

Article in BMC chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

2 authors.

Fariba GhaffariDepartment of Physical Chemistry, University of Tabriz, Tabriz, Iran.
Hemayat ShekaariDepartment of Physical Chemistry, University of Tabriz, Tabriz, Iran. hemayatt@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, microencapsulation has developed in various industries with its versatile applications. Its profound impact is particularly notable in the chemical, food, and pharmaceutical sectors. Among its research areas, the microencapsulation of drugs using phase change materials (PCMs) stands out as a groundbreaking advancement in drug delivery systems. This innovative approach involves encasing drugs within a PCM shell, significantly enhancing their stability and delivery regulation. The focus of our study is the microencapsulation of certain drugs with poor water solubility namely, cyclosporine, baclofen, and biotin within a bio-based PCM. It has identified PCMs with phase transition temperatures near human body temperature ( 310 K) as ideal candidates for this purpose. A eutectic mixture of stearic-lauric acid in a 1:3 mole ratio was selected for its optimal phase change properties to create microcapsules with core-shell morphology in spherical form. Our comprehensive characterization of the microcapsules, validated by FT-IR and SEM techniques, confirms their proper formation. All studied drugs microencapsulated with the PCM exhibited an excellent thermal stability at working temperature from thermal stability analysis based on TGA results. Furthermore, differential scanning calorimetry (DSC) tests conducted on the microencapsulated drugs obtained the melting point of all three microencapsulated drugs near the melting point of PCM. Also, the release behavior of drugs from drug delivery method was investigated in PBS (pH 7.4) and two temperatures (310.15 and 318.15) K. Drug release occurred sustainably, such that 50% and about 60% of the total of each drug was released from the microcapsules at mentioned temperatures respectively during 24 h.

Indexed as

DrugEutectic mixtureHeat capacityMicroencapsulationPhase change material

Identifiers

PMID39962482
PMCPMC11834564

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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.