ArticleFood chemistry: X2026
Design and characterization of a pH-responsive intelligent active film for monitoring and preserving fish freshness.
Article in Food chemistry: X, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
- Development of Pork Ball Freshness Monitoring Labels Based on Carrageenan/Polyvinyl Alcohol Matrices and Anthocyanins from Three Petals: A Comparative Study.Foods (Basel, Switzerland) · 2026Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
An active intelligent packaging film (COL/CS/ZnO/ATH) was developed based on a collagen (COL), chitosan (CS), and nano-ZnO composite matrix, incorporating anthocyanins (ATH) extracted from red cabbage as a natural pH-sensitive indicator. FT-IR analysis and molecular docking revealed that the film's structure is governed by hydrogen-bonding interactions among ATH, collagen, and chitosan. The COL/CS/ZnO/ATH film exhibited excellent barrier properties, and high thermal stability, along with notable antioxidant and antibacterial activities. Compared with COL/CS film, the tensile strength, DPPH radical free, and ABTS radical free scavenging rate of the COL/CS/ZnO/ATH film had increased by 11.18 MPa, 71.09%, and 73.54%, respectively. Additionally, the film exhibited sensitive responses to both pH and ammonia variations. Application of the film to fish preservation demonstrated its efficacy, extending the shelf life by approximately 2 days. In addition, it allowed freshness to be monitored via observable color shifts. For quantitative assessment of this relationship, a smartphone app was used to extract RGB values, which were then correlated with both TVB-N and TVC. A linear regression model was established to predict changes in fish freshness. This multifunctional intelligent packaging system offers a simple and efficient approach for real-time food quality monitoring.
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Registered trials
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