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Cited by 300

The DOI matches its Crossref record; 84 of the 84 references it cites were found in a registry or an index.

Polymeric Antimicrobial Food Packaging and Its Applications

Open access
Huang, Tianqi, Qian, Yusheng, Wei, Jia, Zhou, Chuncai·2019·Polymers

Abstract

Food corruption and spoilage caused by food-borne pathogens and microorganisms is a serious problem. As a result, the demand for antibacterial drugs in food packaging is growing. In this review, biodegradable and non-biodegradable materials for food packaging are discussed based on their properties. Most importantly, antibacterial agents are essential to inhibit the growth of bacteria in food. To keep food fresh and prolong the shelf life, different kinds of antibacterial agents were used. The composition and application of natural antibacterial agents and synthetic antibacterial agents are discussed. Compared with natural antibacterial agents, synthetic antibacterial agents have the advantages of low cost and high activity, but their toxicity is usually higher than that of natural antibacterial agents. Finally, future development of antimicrobial food packaging is proposed. It is an urgent problem for researchers to design and synthesize antibacterial drugs with high efficiency and low toxicity.

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Crossref · 10.3390/polym11030560

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Metadata

Authors
Huang, T., Qian, Y., Wei, J., & Zhou, C.
Venue
Polymers
Publisher
MDPI AG
Published
2019-03-25
Volume
11
Issue
3
Pages
560
ISSN
2073-4360 (ISSN-L)
OpenAlex
W2924138167
Cited by
300
References
84
FWCI
9.16
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Polymeric Antimicrobial Food Packaging and Its Applications. https://app.cochat.ai/papers/10.3390/polym11030560
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Huang, T., Qian, Y., Wei, J., & Zhou, C. (2019). Polymeric Antimicrobial Food Packaging and Its Applications. Polymers. https://doi.org/10.3390/polym11030560

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.