Evidence map›Paper›PMID 40747488›Full record

ArticleFood chemistry: X2025

Encapsulation of bioactive peptides derived from

Sara Jafarirad, Leila Nateghi, Masoumeh Moslemi, Kian Pahlevan Afshari, Kianoush Khosravi-Darani

Abstract read
In one paragraph

Article in Food chemistry: X, 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
  2. Article
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

5 authors.

Sara JafariradDepartment of Food Science and Technology, VaP.C., Islamic Azad University, Varamin, Iran.
Leila NateghiDepartment of Food Science and Technology, VaP.C., Islamic Azad University, Varamin, Iran.
Masoumeh MoslemiHalal Research Center of IRI., Iran Food and Drug Administration, Ministry of Health and Medical Education, Tehran, Iran.
Kian Pahlevan AfshariDepartment of Animal Science, VaP.C., Islamic Azad University, Varamin, Iran.
Kianoush Khosravi-DaraniDepartment of Food Technology Research Science, Research Department of Food Technology, National Nutrition and Food Technology Research Institute, Faculty of Nutrition Sciences and Food Technology, Shahid Beheshti University of Medical Sciences, P.O. Box: 19395-4741, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to encapsulate bioactive peptides derived from Sargassum angustifolium protein isolate within calcium alginate and chia seed gum matrices using freeze-drying. The encapsulated microbeads and microcapsules were evaluated based on encapsulation efficiency (EE), surface charge (zeta potential), microstructure, chemical composition, and thermal properties. Results indicated that Alg-SAPH exhibited a higher EE compared to CSG-SAPH. Alg-SAPH microbeads displayed a more negative zeta potential than CSG-SAPH microcapsules, suggesting enhanced electrostatic stability. Structural analysis revealed that Alg-SAPH formed interconnected microbead chains, whereas CSG-SAPH demonstrated a shell-like morphology. Differential scanning calorimetry (DSC) analysis showed that Alg-SAPH had a lower melting point compared to CSG-SAPH, whereas its transition enthalpy was significantly higher. The findings suggest that encapsulating SAPH within biopolymeric carriers enhances its stability and bioavailability, offering a promising approach for incorporating bioactive peptides into functional foods and therapeutic applications while masking their undesirable taste.

Indexed as

Bioactive peptidesCalcium alginateChia seed gumEncapsulationSargassum angustifolium

Identifiers

PMID40747488
PMCPMC12311580

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.