面向纳米和微塑料传感器:通过人工智能识别纳米和微塑料颗粒,并与与雌激素受体功能化的等离子探测器相结合
Mimimorena Seggio1, Francesco Arcadio2, Eros Radicchi1
1Department of Biotechnology, University of Verona, Strada Le Grazie 15, 37134 Verona, Italy.
ACS omega
|May 6, 2024
概括
人工智能 (AI) 和一种新的雌激素受体-表面等离子体共振塑料光纤 (ER-SPR-POF) 接口可以识别水中的纳米和微塑料. 这种智能传感器准确地检测颗粒物质和大小,提供了一个新的环境监测工具.
科学领域:
- 环境科学 环境科学
- 材料科学 材料科学 材料科学
- 生物技术是生物技术.
背景情况:
- 纳米和微塑料颗粒代表着日益严重的全球环境问题,可能会对人类健康产生影响.
- 目前对这些粒子的检测方法可能是复杂和昂贵的.
研究的目的:
- 开发一种人工智能驱动的传感器,用于识别水中的纳米和微塑料.
- 使用基于塑料光纤 (POF) 的接口创建一个具有成本效益和灵敏的检测平台.
主要方法:
- 通过将雌激素受体 (ER) 移植到POF上的黄金表面,开发了一个"智能"敏感接口 (ER-SPR-POF).
- 利用表面等离子体共振 (SPR) 现象进行样本相互作用监测.
- 采用基于机器学习的方法,使用ER-SPR-POF接口的数据进行粒子识别.
主要成果:
- ER-SPR-POF接口与人工智能相结合,成功识别了颗粒材料 (聚烯,聚甲酸) 和颗粒尺寸 (20微米,100纳米).
- 概念验证传感器在粒子识别方面实现了90.3%的准确性.
- 证明了使用廉价POF平台用于先进的传感应用的可行性.
结论:
- 开发的以人工智能为动力的ER-SPR-POF传感器为环境样本中准确有效地检测纳米和微塑料提供了有前途的解决方案.
- 这种方法突显了将AI与新型材料接口集成为环境监测和人类健康保护的潜力.
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