Evidence map›Paper›PMID 42380196›Full record

ArticleNPJ science of food2026

Calcium ascorbate and gold core silver shell nanoparticles enhance chitosan starch films for grape preservation.

Xin Chen, Jun Lv, Lixuan Cong, Ai Nasi, Fengzhi Lyu, Lin Qin, Yiming Zhao, Donghui Xu, Ming Yang, Junmei Liu and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NPJ science of food, 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

12 authors.

Xin Chen *State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Vegetables Quality and Safety Control, Ministry of Agriculture and Rural Affairs of China, Beijing, China.
Jun Lv *State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Vegetables Quality and Safety Control, Ministry of Agriculture and Rural Affairs of China, Beijing, China.
Lixuan Cong *Key Laboratory of Geriatric Nutrition and Health, Ministry of Education, Beijing Technology & Business University, Beijing, China.
Ai NasiKey Laboratory of Geriatric Nutrition and Health, Ministry of Education, Beijing Technology & Business University, Beijing, China.
Fengzhi LyuState Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Vegetables Quality and Safety Control, Ministry of Agriculture and Rural Affairs of China, Beijing, China.
Lin QinState Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Vegetables Quality and Safety Control, Ministry of Agriculture and Rural Affairs of China, Beijing, China. qinlin01@caas.cn.
Yiming ZhaoState Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Vegetables Quality and Safety Control, Ministry of Agriculture and Rural Affairs of China, Beijing, China.
Donghui XuState Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Vegetables Quality and Safety Control, Ministry of Agriculture and Rural Affairs of China, Beijing, China. xudonghui@caas.cn.
Ming YangState Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Vegetables Quality and Safety Control, Ministry of Agriculture and Rural Affairs of China, Beijing, China.
Junmei LiuState Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Vegetables Quality and Safety Control, Ministry of Agriculture and Rural Affairs of China, Beijing, China.
Bining JiaoKey Laboratory of Quality & Safety Control of Cirtus Fruits, Ministry of Agriculture and Rural Affairs, Southwest University, Chongqing, China.
Guangyang LiuState Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Vegetables Quality and Safety Control, Ministry of Agriculture and Rural Affairs of China, Beijing, China. liuguangyang@caas.cn.

Funding

Basic Research Center, Innovation Program of Chinese Academy of Agricultural Sciences CAAS-BRC-202612Beijing Natural Science Foundation 6242028National Key Research and Development Program of China 2022YFF0606800the Special Fund for the Industrial System Construction of Modern Agriculture of China CARS-23-E03
6 · The paper itself

Abstract

While chitosan-based films are widely studied for food preservation, their practical application is often limited by inherent limitations in stability of the material, antibacterial efficacy, and long-term preservation capability. Here, we present an innovative one-pot fabrication of a multifunctional, biodegradable food packaging film based on a chitosan-potato starch matrix synergistically enhanced by calcium ascorbate (CA) and Au@Ag. CA acts as both an ionic crosslinker and an active antimicrobial/antioxidant additive, while the embedded Au@Ag nanoparticles synergistically reinforce the functional performance of the composite film. The resulting exhibits considerably improved mechanical strength (tensile strength increased from 7.58 to 8.76 MPa) and enhanced water barrier properties (WVTR reduced from 0.312 to 0.271 g·m

Identifiers

PMID42380196
PMCPMC13683353

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.