Evidence map›Paper›PMID 39139939›Full record

ArticleFood science & nutrition2024

Development and characterization of active packaging system based on zein nanofibers mat incorporated with geraniol-loaded nanoliposomes.

Sara Gholizadeh, Hadi Almasi, Sajed Amjadi, Mehran Moradi, Nima Ghadiri Alamdari, Sorour Salmasi, Elahe Divsalar

Abstract read
In one paragraph

Article in Food science & nutrition, 2024. 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

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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.

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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.

Sara GholizadehDepartment of Food Hygiene, Tabriz Branch Islamic Azad University Tabriz Iran.
Hadi AlmasiDepartment of Food Science and Technology, Faculty of Agriculture Urmia University Urmia Iran.ORCID https://orcid.org/0000-0002-9062-9763
Sajed AmjadiDepartment of Food Nanotechnology Research Institute of Food Science and Technology (RIFST) Mashhad Iran.ORCID https://orcid.org/0000-0002-4551-7690
Mehran MoradiDepartment of Food Hygiene and Quality Control, Faculty of Veterinary Medicine Urmia University Urmia Iran.
Nima Ghadiri AlamdariDepartment of Food Science and Technology, Faculty of Agriculture Urmia University Urmia Iran.
Sorour SalmasiDepartment of Food Science and Technology, Faculty of Agriculture Urmia University Urmia Iran.
Elahe DivsalarDepartment of Food Hygiene and Quality Control, Faculty of Veterinary Medicine Urmia University Urmia Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, development of biopolymeric nanofibers as an active biodegradable packaging system has attracted specific attention. The objective of this research was to develop zein-based electrospun nanofibers (NFs) incorporated with geraniol-loaded nanoliposomes (G-loaded NLPs). Geraniol was encapsulated into NLPs with an efficiency of 79.23%. The particle size and zeta potential of G-loaded NLPs were 121.50 nm and -38.30 mV, respectively. The successful loading of geraniol in the NLPs was approved by Fourier transform infrared (FT-IR) spectroscopy. The liposomal vesicles showed spherical shapes. G-loaded NLPs were added in the zein-based electrospun NFs at three different concentrations (0.25, 0.5, and 1%w/v). All NFs samples exhibited fibrillar structure. The increase of NLPs concentration enhanced the thermal stability of the NFs. However, the crystalline structure of zein NFs did not change by the addition of G-loaded NLPs. The highest surface hydrophobicity was related to the NFs containing 1% G-loaded NLPs. The mechanical parameters of NFs depend on the concentration of NLPs. The NFs incorporated with G-loaded NLPs showed inhibition activity against four foodborne pathogenic bacteria (

Indexed as

biodegradable packagingcontrolled releaseelectrospinningnanocarrier

Identifiers

PMID39139939
PMCPMC11317749

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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.