一个基于纤维素的自动供电的氨传感器,用于食品的新鲜度
Yuefan Liu1, Shiqiang Ouyang1, Feijie Wang1
1Jiangsu Provincial Key Laboratory of Food Advanced Manufacturing Equipment Technology, School of Mechanical Engineering, Jiangnan University, Wuxi, 214122, China.
ACS applied materials & interfaces
|March 13, 2026
概括
这项研究开发了一个自动供电的氨传感器,用于智能食品包装. 基于纤维素的传感器检测到氨气,表明肉类腐烂,具有高灵敏度和快速响应.
科学领域:
- 材料科学 材料科学 材料科学
- 化学传感器 化学传感器
- 食品科学 食品科学 食品科学
背景情况:
- 氨 (NH3) 是由于蛋白质降解而导致肉类变质的关键指标.
- 传统传感器需要外部电源,这限制了智能包装应用.
- 自动供电的传感器提供非破坏性,便携式和简单的检测,用于实时的新鲜度评估.
研究的目的:
- 为智能肉类包装开发一个集成的自动供电氨传感器.
- 使用基于纤维素的多孔网络与MXene相结合,用于增强传感.
- 为了证明传感器在检测与食品腐烂相关的氨气中的性能.
主要方法:
- 使用碳糖甲基纤维素 (CMC-Na) 和藻酸盐 (SA) 制造3D纤维素网,具有离子交联.
- 将Ti3C2Tx (MXene) 纳米片纳入纤维素网络,以创建导电通道.
- 基于 triboelectric纳米发电机 (TENG) 的氨传感器的建造和测试.
主要成果:
- 该TENG传感器实现了~160V的开通电压和16μA的短路电流.
- 使用氨度 (3-100 ppm) 的高线性,灵敏度为1.236 V/ppm,低LOD为0.95 ppm.
- 快速响应 (16秒) 和恢复 (38秒) 时间,在100ppm氨时具有显著的电压变化 (77%).
结论:
- 使用纤维素和MXene的自动供电氨传感器的可行材料设计已经建立.
- 开发的传感器显示了智能食品包装实时,非破坏性监控的巨大潜力.
- 这项工作为食品安全应用中先进的自动供电传感系统提供了一条路线.
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