基于手持智能手机的人工智能集成检测离子由Al3+触发的聚合诱导的红色发射增强碳点
Liru Yan1, Bianxiang Zhang1, Zhiwei Zong2
1College of Chemistry and Chemical Engineering, Shanxi University, Taiyuan 030006, PR China.
Journal of colloid and interface science
|August 4, 2023
概括
这项研究介绍了一个由人工智能驱动的智能手机平台,用于实时检测化物 (F-),使用一种新的碳点测试条. 该系统通过跟踪光变化来实现智能,现场量化,为环境和消费产品分析提供了一种新方法.
科学领域:
- 分析化学 分析化学
- 材料科学 材料科学 材料科学
- 生物医学工程 生物医学工程
背景情况:
- 准确和快速检测化物 (F-) 对环境监测和消费者产品安全至关重要.
- 现有的F-确定方法可能耗时,需要专门的设备,或缺乏现场适用性.
- 需要开发便携式智能检测平台,以实时进行F-分析.
研究的目的:
- 开发一个集成人工智能 (AI) 的智能手机平台,用于智能,实时,现场测量化物 (F-).
- 使用由Al3+触发的新型碳点 (CDs) 试验条,用于敏感的F-检测.
- 为了证明跟踪光变化的可行性,以准确地确定F-度.
主要方法:
- 合成的碳点 (CDs) 呈现双排放 (绿色和红色) 从阿利沙林卡明和酸.
- 准备CDs@Al3+显示聚合诱导的红色排放增强和绿色排放灭.
- 为基于智能手机的手持测定平台开发3D打印配件,并与YOLO v3 AI算法集成.
- 追踪比计光变化 (I620/I512) 用于F-量化.
主要成果:
- 开发的CDs@Al3+系统显示,随着F-度的增加,光色从红色变为绿色.
- 对于F-确定,可以达到7.998μM的低检测极限 (LOD) 和广泛的线性范围 (150-1200μM).
- 集成AI智能手机平台展示了自来水,牙膏和牛奶中F含量的智能,快速和简单的分析.
结论:
- 基于智能手机的AI集成平台为智能,实时,现场F-量化提供了可行和有效的策略.
- 使用Al3+触发的CD聚合诱导的排放增强提供了一个敏感和比度检测机制.
- 这项研究为促进有效的检测策略和扩大各种领域的实际应用提供了一个新的视角.
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