This study aimed to develop a novel pH-sensing biopolymer film based on red cabbage puree (RCP) incorporated with polyvinyl alcohol (PVA), which was utilized for monitoring fish freshness during storage at 25 °C. A homogenized RCP suspension with a mean particle size of 12.86 ± 0.03 μm and a total anthocyanin concentration of 292.17 ± 2.65 mg/L was directly used as a film-forming substance and anthocyanin source to blend with PVA, showing visual changes in color and ultraviolet-visible spectra within a pH of 2–12. Rheological and microstructural studies certified the strong interactions and good compatibility between the RCP and PVA, resulting in better mechanical properties and water resistance of the composite film than those of a pure RCP film, but without affecting its pH sensitivity. When used for fish freshness monitoring at 25 °C, the developed RCP/PVA film presented visible color differences from purple to yellow, which corresponded to the spoilage threshold of the total volatile basic nitrogen and the total viable count in fish samples. The study highlights that anthocyanin-rich purees of fruits and vegetables, in this case red cabbage puree, can be fully utilized to develop eco-friendly pH-sensing indicator films for intelligent food packaging.

The detection of fish freshness is crucial for ensuring food safety. This study addresses the limitations of traditional detection methods, which rely on laboratory equipment and complex procedures, by proposing a smartphone-based detection method, termed FreshFusionNet, that utilizes a pitaya peel pH intelligent indicator film in conjunction with multimodal deep learning. The pitaya peel indicator film, prepared using high-pressure homogenization technology, demonstrates a significant color change from dark red to yellow in response to the volatile alkaline substances released during fish spoilage. To construct a multimodal dataset, 3600 images of the indicator film were captured using a smartphone under various conditions (natural light and indoor light) and from multiple angles (0° to 120°), while simultaneously recording pH values, total volatile basic nitrogen (TVB-N), and total viable count (TVC) data. Based on the lightweight MobileNetV2 network, a Multi-scale Dilated Fusion Attention module (MDFA) was designed to enhance the robustness of color feature extraction. A Temporal Convolutional Network (TCN) was then used to model dynamic patterns in chemical indicators across spoilage stages, combined with a Context-Aware Gated Fusion (CAG-Fusion) mechanism to adaptively integrate image and chemical temporal features. Experimental results indicate that the overall classification accuracy of FreshFusionNet reaches 99.61%, with a single inference time of only 142 ± 40 milliseconds (tested on Xiaomi 14). This method eliminates the need for professional equipment and enables real-time, non-destructive detection of fish spoilage through smartphones, providing consumers and the food supply chain with a low-cost, portable quality-monitoring tool, thereby promoting the intelligent and universal development of food safety detection technology.

The performance of biological-originated blood vessels in clinical remains disappointing due to fast occlusion caused by acute thrombosis or long-standing inflammation. How to prevent rapid degradation and inhibit acute inflammation but maintain their high bioactivity is still a significant challenge. As a bioactive polyphenol in various traditional Chinese medicine, Corilagin (Cor) exhibits excellent anticoagulant, anti-inflammatory and rapid ROS consumption properties. Inspired by abundant supramolecular interactions in organisms, we selected it to crosslink tissues via purely H-bonds to simulate these natural interactions without introducing potential toxic aldehyde or carboxyl groups. Results show that 2 mg/ml was selected as the optimal Cor concentration to form a stable crosslinking network (FI > 95%) and effectively delay their degradation. Cor modification not only enhances ECs adhesion and monolayer function via accelerating VEGF and TGF-β secretion but also promotes macrophage transformation from pro-inflammatory M1 phenotype to anti-inflammatory M2 ones. In vitro and ex-vivo studies implied that Cor-crosslinked samples exhibited low platelet accumulation and decreased thrombin generation. In vivo evaluation further confirmed that Cor-introducing could effectively consume ROS, thus exhibiting rapid endothelialization, suppressed inflammation and reduced mineral deposition. Overall, Cor crosslinking provided a bright future for blood vessels’ long-term patency and adapted to various blood-contacting surfaces.

In this study, red cabbage-based intelligent/active composite films loaded with different concentrations of clove essential oil were prepared using red cabbage slurry as the matrix, polyvinyl alcohol as the binder, glycerol as the plasticizer, and Tween 80 as the emulsifier via the casting method. The physicochemical properties, color response behavior, and antioxidant and antibacterial activities of the films were systematically evaluated and their application in fish freshness monitoring was further investigated. The results showed that the incorporation of clove essential oil significantly enhanced the antioxidant and antibacterial properties of the films and optimized their mechanical properties within a certain concentration range. Although high concentrations slightly reduced the pH response sensitivity of the films, all composite films exhibited significant color-changing ability, achieving a visible transition from red to yellow-green within the pH range of 2–12. In fish preservation experiments, the composite films not only reflected the freshness status of fish in real time through color changes but also effectively inhibited the increase in total volatile basic nitrogen, total bacterial count, and pH value, thereby delaying spoilage. In this study, a green packaging material with an intelligent indicating function was successfully developed, providing a novel solution for the quality monitoring of high-value aquatic products.