Evidence map›Paper›PMID 42500044›Full record

ArticleFood chemistry: X2026

Starch-based intelligent indicator membranes with triple antioxidant activity for fruit preservation via self-assembled berberine-oligomeric proanthocyanidins nanoparticles encapsulating tea tree oil.

Kang Zhang, Hefeng Zhu, Panliang Zhang, Yixuan He, Yixiu Wang

Abstract read
In one paragraph

Article in Food chemistry: X, 2026. 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
–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

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

5 authors.

Kang ZhangDepartment of Chemistry and Chemical Engineering, Hunan Institute of Science and Technology, Yueyang 414006, China.
Hefeng ZhuDepartment of Chemistry and Chemical Engineering, Hunan Institute of Science and Technology, Yueyang 414006, China.
Panliang ZhangDepartment of Chemistry and Chemical Engineering, Hunan Institute of Science and Technology, Yueyang 414006, China.
Yixuan HeDepartment of Chemistry and Chemical Engineering, Hunan Institute of Science and Technology, Yueyang 414006, China.
Yixiu WangDepartment of Hepatic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A multifunctional starch-based composite membrane was developed by incorporating self-assembled berberine-oligomeric procyanidins nanoparticles (SBO) loaded with tea tree oil (TTO) into a thermoplastic starch (TPS) matrix. Characterization indicated successful SBO formation and TTO loading (up to 62.36 mg/g), which followed a monolayer adsorption mechanism with pseudo-first-order kinetics. The incorporation of SBO@TTO significantly improved tensile strength and gas barrier properties of the membranes. The composite membranes exhibited excellent pH-responsive color changes and enhanced antioxidant and antibacterial activities. TTO release was sustained and diffusion-controlled, and the membranes exhibited satisfactory in vitro cytocompatibility. TPS/4%SBO@TTO membrane effectively reduced weight loss and softening of cherry tomatoes, showing better performance than air storage and comparable performance to a commercial polyethylene membrane. These results demonstrate the strong application potential of TPS/SBO@TTO membranes as active and intelligent food packaging. The direct migration and preservation performances should be further validated under various storage conditions and for different food products.

Indexed as

Intelligent indicatorPackaging membraneSelf-assembled nanoparticlesSlow releaseTriple antioxidant activity

Identifiers

PMID42500044
PMCPMC13396897

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.