Evidence map›Paper›PMID 42038430›Full record

ArticleFood science & nutrition2026

Preparation and Characterization of Emulsion-Based Fucoidan-Whey Protein Film Activated With Geranium Essential Oil for Food Applications.

Najmeh Oliyaei, Frahang Hameed Awlqadr, Cambyz Irajie, Somayeh Yazdanpanah, Kamyar Zomorodian, Aida Iraji

Abstract read
In one paragraph

Article in Food science & nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Najmeh OliyaeiStem Cells Technology Research Center Shiraz University of Medical Sciences Shiraz Iran.ORCID https://orcid.org/0000-0003-1926-3284
Frahang Hameed AwlqadrDepartment of Food Science and Quality Control, Halabja Technical College Sulaimani Polytechnic University Sulaymaniyah Iraq.ORCID https://orcid.org/0000-0002-1737-5920
Cambyz IrajieDepartment of Medical Biotechnology, School of Advanced Medical Sciences and Technologies Shiraz University of Medical Sciences Shiraz Iran.ORCID https://orcid.org/0000-0001-8438-2146
Somayeh YazdanpanahDepartment of Medical Mycology and Parasitology, School of Medicine Shiraz University of Medical Sciences Shiraz Iran.
Kamyar ZomorodianDepartment of Medical Mycology and Parasitology, School of Medicine Shiraz University of Medical Sciences Shiraz Iran.
Aida IrajiStem Cells Technology Research Center Shiraz University of Medical Sciences Shiraz Iran.ORCID https://orcid.org/0000-0002-8442-2205

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emulsion-based edible films are novel active films that can improve food quality and their shelf life due to slow release of their active ingredient. In this study, fucoidan- whey protein (FW) composite film with different concentration of geranium essential oil (EO) nanoemulsions [0.5% (w/w) and 1% (w/w)] were prepared (FW-0.5 and FW-1). The physicochemical, thermal, morphological, and mechanical properties [tensile strength (TS), elongation at break (EB)], as well as the antioxidant and antimicrobial properties, were investigated. Gas chromatography analysis detected citronellol (30.26%), geraniol (16.41%), and linalool (12.43%) as the main compounds of geranium EO and smaller amount of monoterpene hydrocarbons (such as α-pinen, p-cymene, and limonene) and sesquiterpene alcohols (such as globulol and pogostol). Also, the addition of a higher concentration of geranium EO nanoemulsion (1%) made the film thicker (0.13 ± 0.01 mm) than the neat FW film (0.12 ± 0.01 mm) (

Indexed as

edible filmfucoidangeranium essential oilnanoemulsionwhey protein

Identifiers

PMID42038430
PMCPMC13109817

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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.