Solvent–free fabrication of pH–sensitive freshness indicators using pomegranate juice in starch–PVA matrix for real–time fish spoilage detection

Novel freshness indicators were developed using a starch–polyvinyl alcohol matrix incorporating pomegranate juice as a natural source of anthocyanins. To ensure a sustainable production process, the anthocyanins were not isolated from the juice, thus avoiding the use of organic solvents and energy–intensive extraction processes. The resulting smart indicators were characterised in terms of their optical properties, microstructure, infrared spectrum, water affinity, color response across a range of pH values, reactivity to volatile amines (ammonia, trimethylamine and dimethylamine), and color reversibility. The smart indicators were tested in fish fillet packaging systems under controlled temperature conditions (2.8 °C), where their performance was evaluated over time. An artificial intelligence tool was employed to classify the visual appearance of the films during storage. Microstructure analysis revealed satisfactory microstructural integrity and compatibility between the pomegranate juice and the biopolymer carrier. The incorporation of pomegranate juice enhanced the hydrophilicity of the membranes. The color sensitivity test demonstrated that the smart films responded effectively to increases in pH and volatile amine concentrations. A perceptible color shift from red to purple–green was observed from the early stages of spoilage (day 4–5), with intensity increasing as degradation advanced. The indicator response aligned with changes in headspace gas composition and was consistent with microbiological and chemical quality indicators of fish flesh, highlighting their potential as effective tools for real–time monitoring of fish freshness and spoilage. • Smart films developed using pomegranate juice, eliminating the need for anthocyanin solvent extraction • Effective incorporation of pomegranate juice into the PVA/starch biopolymer matrix • Color change of indicators strongly correlated with microbiological and physicochemical markers of fish spoilage • AI-assisted analysis validated the effectiveness of the smart films for real-time freshness monitoring