Evidence map›Paper›PMID 40799193›Full record

ArticleFood chemistry: X2025

Rice bran protein-chitosan nanoparticle as a delivery system of ε-polylysine: preparation, characterization, antioxidant and antibacterial activity.

Na Wang, Ran Xu, Xiao Lu, Yuzhuo Sun, Huifang Bu, Xiao Zhi, Wanyu Dou, Fengqing Hu, Lishuang Wang

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Na WangCollege of Light Industry, Liaoning University, Shenyang 110036, China.
Ran XuCollege of Light Industry, Liaoning University, Shenyang 110036, China.
Xiao LuCollege of Light Industry, Liaoning University, Shenyang 110036, China.
Yuzhuo SunCollege of Light Industry, Liaoning University, Shenyang 110036, China.
Huifang BuCollege of Light Industry, Liaoning University, Shenyang 110036, China.
Xiao ZhiCollege of Light Industry, Liaoning University, Shenyang 110036, China.
Wanyu DouCollege of Light Industry, Liaoning University, Shenyang 110036, China.
Fengqing HuCollege of Light Industry, Liaoning University, Shenyang 110036, China.
Lishuang WangCollege of Food, Liaoning Agricultural Vocational and Technical College, Yingkou 115009, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rice bran protein (RBP)-chitosan (CS) nanoparticles as a delivery system loaded with ε-polylysine (ε-PL) were successfully synthesized by thermal aggregation-induced self-assembly technique, and the physicochemical properties and antibacterial activity were comprehensively evaluated by various techniques. The results indicated that the preparation process parameters (RBP/CS mass ratios, ε-PL concentration, pH, time, and temperature) had a significant regulatory effect on the particle size, PDI, turbidity and encapsulation efficiency of R-C-ε-PL NPs. Meanwhile, the R-C-ε-PL NPs exhibited excellent thermal stability, hygroscopicity and storage stability. And ε-PL promoted the α-helix structure to a relatively stable β-sheet structure of R-C-ε-PL NPs with a more compact molecular structure through hydrophobic interactions, hydrogen bonding, and electrostatic forces. Furthermore, R-C-ε-PL showed better antioxidant and antibacterial activities for free DPPH and FRAP radicals as well as microorganisms than RBP-CS. Overall, the results revealed that R-C-ε-PL NPs was an effective delivery system of ε-PL, and provided theoretical references for application in food preservation.

Indexed as

ChitosanNanoparticleRice-bran-proteinε-polylysine

Identifiers

PMID40799193
PMCPMC12341584

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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.