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一个基于NELIBS的便携式纸张传感器,用于现场对污水和土壤的微量元素分析

Fengjing Cao¹, Shixiang Ma², Hongwu Tian²

¹Research Center of Intelligent Equipment, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China; Key Laboratory of Agricultural Sensors, Ministry of Agriculture and Rural Affairs, Beijing, 100097, China; Institute of Modern Optics and Center of Single-Molecule Science, Tianjin Key Laboratory of Micro-scale Optical Information Science and Technology, Nankai University, Tianjin, 330350, China.

Biosensors & bioelectronics

|March 12, 2026

概括

一种使用纳米粒子增强激光诱导分解光谱学 (NELIBS) 的新型纸质传感器允许快速地在水和土壤中检测重金属. 这一进步有助于环境监测,并确保食品安全,而无需样品预处理.

科学领域:

环境科学环境科学
分析化学分析化学
材料科学材料科学材料科学

背景情况:

对污染水和土壤进行有效的现场元素分析对于农业和食品安全至关重要.
传统方法通常需要复杂,耗时的样品预处理,阻碍了快速评估.
纳米粒子增强激光诱导分解光谱 (NELIBS) 为敏感,快速检测提供了一个有前途的解决方案,没有预处理.

研究的目的:

开发一种基于纸张的传感器,用于快速,现场,多重复杂的微量元素检测.
为了利用嵌入金属有机框架 (AuNRs@MOFs) 的金纳米棒,在激光诱导分解光谱学 (LIBS) 中增强信号放大.
为了验证传感器在现实环境样本 (如污水和土壤) 中的性能.

主要方法:

一个基于纸张的传感器的制造,其中包括AuNRs@MOFs.
激光诱导分解光谱 (LIBS) 的应用用于元素分析.
将传感器结果与诱导合等离子体质谱法 (ICP-MS) 进行比较,以评估准确性.

主要成果:

经过修改的AuNRs@MOFs传感器在微量铜 (Cu) 和 (Cr) 检测方面表现出色的线性响应.
在水 (0.03微克/升,2.49微克/升) 和土壤 (0.145毫克/斤,0.072毫克/斤) 中达到Cu和Cr的低检测极限.
在真实样本中的传感器准确性与已建立的ICP-MS方法相美.

结论:

开发的基于纸张的NELIBS传感器可以在复杂的环境矩阵中有效地在现场进行重金属的多重检测.
这项技术显著减少了样品准备时间,并提高了检测灵敏度.
传感器为环境保护倡议和保障食品安全提供了宝贵的工具.

关键词:

2+) /Cr3+) 的检测能力.激光诱导的分解光谱学纳米增强的增强方法

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