An intelligent chitosan/gelatin film via improving the anthocyanin-induced color recognition accuracy for beef sub-freshness differentiation monitoring

食物腐败 花青素 明胶 食品科学 肉类腐败 活性包装 化学 食品包装 壳聚糖 RGB颜色模型 材料科学 化学工程 计算机科学 生物化学 人工智能 生物 细菌 工程类 遗传学
作者
Rui Li,Shancan Wang,Haoyu Feng,Di Zhuang,Jie Zhu
出处
期刊:Food Hydrocolloids [Elsevier BV]
卷期号:146: 109219-109219 被引量:131
标识
DOI:10.1016/j.foodhyd.2023.109219
摘要

A novel volatile amine-responsive food freshness smart film, CG-BAE, has been developed utilizing chitosan (CS) and gelatin (GL) as film substrates and butterfly pea flower anthocyanin extract (BAE) as the indicator. The pH value of the film-forming solution was found to significantly impact the physical properties, biogenic amine response sensitivity, and initial color of the film. The hydrogen bonding interaction between anthocyanins and the film matrix was identified as the main binding force, as confirmed by FT-IR spectroscopy and molecular docking simulation analysis. Notably, CG-BAE-2.0 films have demonstrated excellent color stability, antioxidant activity, and color responsiveness. The performance of the film in monitoring beef freshness was evaluated and proved clear differentiation between four stages: freshness, sub-freshness, onset of spoilage, and complete spoilage. The color change of the film was assessed using RGB values obtained from a smartphone App, reducing the difference in color recognition by individual naked eyes. Therefore, this work addresses the limitation that BAE-based intelligent films cannot be distinguished at the starting point of meat spoilage, and presents a promising approach to sub-freshness indication, opening new possibilities for food freshness differentiation monitoring.
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