在草和形状记忆应用中进行多目标分析的新型自然色素视觉和发光传感器平台
1Cellulose and Paper Department, National Research Centre, 33 El Bohouth Str., Dokki, Giza P.O. Box 12622, Egypt.
Foods (Basel, Switzerland)
|August 28, 2025
概括
这项研究从甘废物和甜菜根中开发出一种智能,可持续的薄膜,用于草包装. 该膜通过光检测污染物和腐烂,并改变形状,提高食品安全和保存.
科学领域:
- 材料科学
- 生物技术
- 食品科学
背景情况:
- 农业废物,如甘包 (SCB) 和甜菜根 (BR),为开发可持续材料提供了机会.
- 目前的食品包装缺乏综合传感和保护功能,导致潜在的损坏和安全问题.
- 开发具有视觉检测能力的智能包装对于提高食品安全和减少浪费至关重要.
研究的目的:
- 通过碳素甲基纤维素 (CMC) 和贝塔林--合碳点 (Betalains-N-CQDs) 制造可持续的智能包装薄膜.
- 开发一种可视传感器,用于检测食物污染物 (细菌,真菌,Pb) 和腐烂 (pH变化).
- 评估片的形状记忆特性,以提高产品的物理保护.
主要方法:
- 从SCB和BR废物中获得的Betains-N-CQD结合的CMC薄膜的制造
- 使用光学研究 (光谱) 和扫描电子显微镜 (SEM) 进行表征.
- 对抗食源病原体的抗菌活性和光和pH传感器的性能评估.
主要成果:
- 在CMC-Betalains-N-CQDs膜中显示了pH响应的光和明显的视觉变化以检测污染物.
- 这种膜对大肠杆菌,黄金杆菌和白杆菌具有显著的抗菌活性.
- 通过pH变化引发形状恢复,观察到出色的形状记忆特性.
结论:
- 开发的CMC-Betalains-N-CQDs薄膜是一种有前途的多功能智能包装材料.
- 通过可视检测和抗菌特性, 提供可持续的废物利用和提高食品安全.
- 这种智能包装可以提高产品的保存性,减少食品的腐烂.
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