Evidence map›Paper›PMID 41922379›Full record

ArticleNPJ science of food2026

Phase change material-based antibacterial nanoparticles for short-term preservation of cooked meat during temperature abuse.

Tong Wu, Yuhe Dong, Wanying Zhu, Zesen Xie, Tao Jiang, Xi Yu, Ying Xiao, Siyao Sui, Tian Zhong

Abstract read
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

9 authors.

Tong WuFaculty of Chinese Medicine, Macau University of Science and Technology, Taipa, China.
Yuhe DongFaculty of Medicine, Macau University of Science and Technology, Taipa, China.
Wanying ZhuFaculty of Chinese Medicine, Macau University of Science and Technology, Taipa, China.
Zesen XieFaculty of Medicine, Macau University of Science and Technology, Taipa, China.
Tao JiangFaculty of Medicine, Macau University of Science and Technology, Taipa, China.
Xi YuFaculty of Medicine, Macau University of Science and Technology, Taipa, China.
Ying XiaoFaculty of Medicine, Macau University of Science and Technology, Taipa, China.
Siyao SuiSuzhou Academy of Agricultural Sciences, Suzhou, China.
Tian ZhongFaculty of Medicine, Macau University of Science and Technology, Taipa, China. tzhong@must.edu.mo.

Funding

Macao FDCT Grants 0005/2024/AGJ and 0009/2023/AFJScience and Technology Foundation of Suzhou 2022SS25
6 · The paper itself

Abstract

To prevent the rapid microbial growth caused by unintended temperature abuse during the handling of cooked meat, such as malfunctioning hot-holding equipment or improper storage, this study developed a smart formulation that can be triggered by high temperature to release antibacterial agents on demand. A mixture of lauric acid and stearic acid was employed as the phase change material (PCM), and cinnamaldehyde (CA) was used as the active substance to fabricate this composite (CA/PCM). At 42 °C, CA/PCM can transit from a solid phase to a molten state, leading to the rapid release of embedded CA. In vitro experiments showed that, compared with the 25 °C group, the CA/PCM-42°C group reduced the colony counts of E. coli and S. aureus by 74.5% and 74.0%, respectively, and also decreased the biofilm absorbance by 92.75% and 82.08%, respectively. Compared with the samples stored at 25 °C, the inoculated meat stored at 42 °C for 24 h exhibited smaller changes in colour (∆E* < 3.5), hardness, pH, TVB-N, and MDA values. Moreover, the microbial counts remained below 5 log CFU·g

Identifiers

PMID41922379
PMCPMC13230601

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LicenceCC BY-NC-ND
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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.