Evidence map›Paper›PMID 40428451›Full record

ArticleFoods (Basel, Switzerland)2025

Characterization of Okra Seed Protein/Rutin Covalent Complex and Its Application in Nanoemulsions.

Chengyun He, Lu Bai, Yingxuan Zhou, Benguo Liu, Sheng Geng

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 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. Article
  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.

Chengyun HeSchool of Food Science, Henan Institute of Science and Technology, Xinxiang 453003, China.
Lu BaiSchool of Food Science, Henan Institute of Science and Technology, Xinxiang 453003, China.
Yingxuan ZhouSchool of Food Science, Henan Institute of Science and Technology, Xinxiang 453003, China.
Benguo LiuSchool of Food Science, Henan Institute of Science and Technology, Xinxiang 453003, China.ORCID 0000-0001-9992-9319
Sheng GengSchool of Food Science, Henan Institute of Science and Technology, Xinxiang 453003, China.

Funding

Key Scientific Research Project of Colleges and Universities in Henan Province of China 25A550006National Natural Science Foundation of China 32472288Program for Innovative Research Team (in Science and Technology) in University of Henan Province of China 25IRTSTHN026Scientific and Technological Project in Henan Province of China 242102110088
6 · The paper itself

Abstract

A covalent complex of okra seed protein (OSP) and rutin was prepared using the alkali-induced method and characterized. Its application in nanoemulsions was also evaluated. Multi-spectral analysis confirmed the formation of the covalent complex, with OSP as the main body. With an increasing rutin dosage during the preparation process, the amount of rutin in the complex progressively ascended, and the α-helix structure and surface hydrophobicity of the complex gradually declined. The complex exhibited remarkable ABTS radical scavenging capacity and reducing power, which were proportional to the total phenolic content. The OSP/rutin complex could be utilized for the fabrication of O/W nanoemulsions, which remained stable in terms of droplet size and appearance after 28 days of storage at both 4 °C and 25 °C. Furthermore, lipid oxidation in the nanoemulsion stabilized by the OSP/rutin covalent complex could be effectively inhibited, and the emulsion could enhance the UV irradiation resistance of lutein loaded in the oil phase. Our results can provide a reference for the development of protein-polyphenol covalent complexes.

Indexed as

covalent complexnanoemulsionokra seed proteinrutin

Identifiers

PMID40428451
PMCPMC12111045

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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.