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基于金属有机的三通道光传感器阵列,用于区分水中的Per和Polyfluoroalkyl物质

Jiayi Fan¹, Mengyun Lu¹, Xinwen Jia¹

¹College of Chemistry, Zhengzhou University, Kexue Avenue 100, Zhengzhou, Henan 450001, PR China.

Inorganic chemistry

|December 31, 2025

概括

研究人员开发了一种新的光传感器阵列,用于检测 perfluoroalkyl 和 polyfluoroalkyl 物质 (PFAS). 这种阵列提供精确的识别和高精度的水样中的PFAS的敏感检测.

科学领域:

环境化学环境化学
材料科学材料科学材料科学
分析化学分析化学

背景情况:

perfluoroalkyl 和 polyfluoroalkyl 物质 (PFAS) 是持久性有机污染物,具有重大环境和健康风险.
对PFAS的快速和灵敏的检测技术对于环境保护和人类健康至关重要.
现有的检测方法可能缺乏全面PFAS监测所需的灵敏度或特异性.

研究的目的:

开发基于光的新型,高度敏感和选择性的传感器,用于检测和识别PFAS.
创建一个能够区分不同PFAS物种的多通道传感器阵列.
调查PFAS检测时光增强背后的机制.

主要方法:

使用溶热方法合成NH2-Zr-MOC.
MOC的功能化,以创建Zr-MOC-NH-CO-F5和RGH@NH2-Zr-MOC复合材料.
使用功能化的MOCs.构建一个三通道光传感器阵列.
模式识别的应用用于PFAS的识别和量化.

主要成果:

传感器阵列在低至2μM的度下实现了三种PFAS的精确识别和敏感检测,最低LOD为22nM.
该阵列在真实水样 (自来水和湖水) 中识别PFAS的准确性高 (92.5%).
对于不同的PFAS物种,观察到不同的光增强信号,归因于不同的吸附亲和力.

结论:

开发的光传感器阵列为环境样本中精确和灵敏地检测PFAS提供了一个有前途的工具.
在MOC复合材料中的多重相互作用的协同效应是增强光反应的关键.
这项技术有助于推进环境监测和保护人类健康免受PFAS污染.

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