用机器学习进行实时新鲜度评估的凝/艺术菌球脑 (Artemisia sphaerocephala Krasch) 复合膜集成机器学习
Xu Zhang1, Chunwei Li1, Mingjian Sun1
1College of Home and Art Design, Northeast Forestry University, Harbin, 150040, PR China.
International journal of biological macromolecules
|February 6, 2026
概括
这项研究开发了一种可生物降解的食品包装膜,使用,Artemisia sphaerocephala Krasch和纳米粒子. 智能薄膜改变颜色以表示鱼的新鲜度,并延长保质期,为塑料提供可持续的替代品.
科学领域:
- 材料科学 材料科学 材料科学
- 食品科学 食品科学 食品科学
- 纳米技术纳米技术
背景情况:
- 不易降解的塑料食品包装带来了环境和食品安全方面的挑战.
- 需要生物降解的智能包装来实时监测新鲜度.
研究的目的:
- 为制造两层抗菌指示膜,用于监测鱼的新鲜度.
- 评估片的特性及其在延长鱼类保质期方面的有效性.
主要方法:
- 使用凝/Artemisia sphaerocephala Krasch (GG/ASKG) 和纤维素 (CA) 与纳米氧化和纳米二氧化制造双层薄膜.
- 紫外线阻断,水蒸气透性 (WVP),水接触角度,抗菌活性和色度反应的表征.
- 利用反向传播的人工神经网络 (BP-ANN) 与TVB-N值相关联颜色变化.
主要成果:
- 纳米SiO2改善了屏障特性 (UV阻断>90%,水接触角度>90°,WVP减少了46.3%).
- 纳米-ZnO增强了对大肠杆菌和金黄色杆菌的抗菌活性.
- 电影显示了明显的颜色变化,表明鱼类腐烂,延长了保质期约1天.
- 对于TVB-N值,BP-ANN实现了高预测性能 (R2 = 0.954,准确率 = 100%).
结论:
- 开发的生物降解膜通过视觉颜色变化有效监测鱼的新鲜度.
- 纳米材料和AI的整合提供了定量和可靠的新鲜度指标.
- 这个新的战略为智能和可持续的食品包装提供了一个有希望的解决方案.
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