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Preparation of an intelligent pH film based on biodegradable polymers and roselle anthocyanins for monitoring pork freshness

Open access
Zhang, Junjun, Zou, Xiaobo, Zhai, Xiaodong, Huang, XiaoWei, Jiang, Caiping, Holmes, Mel·2019·Food Chemistry

Abstract

This study aims to develop an intelligent indicating film based on biodegradable polymers incorporated with roselle anthocyanins to monitor pork freshness. Three different films were prepared by using two substances of starch, polyvinyl alcohol and chitosan. The UV-vis spectra and color of anthocyanins changed at pH 2-12. SEM photographs showed that the compatibility of films was improved with the addition of anthocyanins. Furthermore, the polyvinyl alcohol/chitosan/roselle anthocyanins film had the highest tensile strength (98.28 MPa). The starch/polyvinyl alcohol/roselle anthocyanins film had the highest antioxidant activity (524.07%) and the best color stability. The starch/polyvinyl alcohol/roselle anthocyanins film showed visible changes from red to green when employed to monitor the freshness of pork stored at 25 °C, before the TVB-N value of the pork gradually increased to the rejection limit (15 mg/100 g) at 36 h. Therefore, the indicator film can be used to monitor pork freshness for intelligent packaging.

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Crossref · 10.1016/j.foodchem.2018.08.041

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Metadata

Authors
Zhang, J., Zou, X., Zhai, X., Huang, X., Jiang, C., & Holmes, M.
Venue
Food Chemistry
Publisher
Elsevier BV
Published
2019-01
Volume
272
Pages
306-312
ISSN
0308-8146 (ISSN-L)
OpenAlex
W2887642778
Cited by
664
References
1
FWCI
12.70
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Preparation of an intelligent pH film based on biodegradable polymers and roselle anthocyanins for monitoring pork freshness. https://app.cochat.ai/papers/10.1016/j.foodchem.2018.08.041
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Zhang, J., Zou, X., Zhai, X., Huang, X., Jiang, C., & Holmes, M. (2019). Preparation of an intelligent pH film based on biodegradable polymers and roselle anthocyanins for monitoring pork freshness. Food Chemistry. https://doi.org/10.1016/j.foodchem.2018.08.041

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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.