基于层级多孔铁纳米酶的人工智能处理色度传感器,用于可视化,快速和高度灵敏地检测碳硫,具有出色的检测范围
Cheng Chen1, Taimei Cai2, Jianwen Tian1
1School of Chemistry and Chemical Engineering, Nanchang University, Nanchang 330031, China.
Food chemistry
|February 10, 2026
概括
一种新的基于铁的纳米酶 (pFezyme) 作为一种敏感的色度传感器,用于检测碳硫农药. 这种通过人工智能和智能手机集成增强的方法,可以在食品样本中快速,视觉和高度敏感地检测碳硫.
科学领域:
- 纳米技术纳米技术
- 分析化学 分析化学
- 环境科学 环境科学
背景情况:
- 纳米酶模仿自然酶,在传感方面提供了多方面的应用.
- 碳硫农药对环境和健康构成风险.
- 硫化物离子干扰纳米酶活动,需要特定的检测方法.
研究的目的:
- 合成具有氧化酶类活性的分层多孔的铁基纳米酶 (pFezyme).
- 开发基于pFezyme的色度传感器,用于检测碳硫.
- 将传感器与人工智能驱动的便携式平台集成,以提高可用性.
主要方法:
- 基于铁的等级多孔纳米酶 (pFezyme) 合成.
- 基于抑制纳米酶活动的碳硫色度检测试验.
- 开发一个基于智能手机的平台,使用人工智能进行信号处理.
主要成果:
- 合成的pFezyme表现出极好的类似氧化酶的活性.
- 该pFezyme传感器显示了广泛的检测范围 (0.73 × 104 nM) 和低检测极限 (0.48 nM).
- 与人工智能集成的平台在食品样本中保持了对碳硫检测的高灵敏度 (LOD = 0.67 nM).
结论:
- pFezyme 作为一种有效的色度传感器,用于检测碳硫.
- 与人工智能集成的便携式平台可以快速,灵敏和视觉分析碳硫.
- 这种方法有望在食品安全应用中对碳硫进行现场监测.
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