使用LIBS与度梯度发生器快速检测重金属
Xinrui Pan1, Yuanchao Liu2, Weiliang Wang3
1Wuhan National Laboratory for Optoelectronics (WNLO), Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.
Analytical chemistry
|July 28, 2025
概括
一个新的基于微流体的度梯度发生器 (CGG) 激光诱导分解光谱 (LIBS) 平台能够快速地在水中检测重金属. 这种自动化系统简化了样本准备,为实时环境监测提供了准确和敏感的结果.
科学领域:
- 分析化学 分析化学
- 环境科学 环境科学
- 频谱学是一种光谱学.
背景情况:
- 表面水被重金属污染对生态系统和人类健康构成重大风险.
- 传统的方法,如ICP-MS不适合现场监测,因为复杂性和成本.
- 激光诱导分解光谱 (LIBS) 提供了快速的现场分析,但需要艰苦的手工样本准备量化.
研究的目的:
- 开发一个基于微流体的自动化度梯度发生器 (CGG) -LIBS平台,用于实时,现场量化水中的重金属.
- 克服现有的LIBS方法现场应用中手动样品制备的局限性.
主要方法:
- 制造3D打印的微流体CGG装置,用于自动生成线性度梯度.
- 将CGG设备与LIBS集成,用于同时生成梯度和元素分析.
- 标准添加校准的应用,以准确量化微量重金属 (Ba,Cu,Mn).
主要成果:
- 该CGG装置产生了精确的线性度梯度 (R2 > 0.998).
- CGG-LIBS证明了稳定,准确和敏感的Ba,Cu和Mn量化,其低检测极限 (LoDs) 符合中国标准.
- 使用自然水样 (长江,东湖) 的验证显示与ICP-MS有很好的一致性 (相对误差<5%).
结论:
- 开发的CGG-LIBS平台提供了一种简化,高效和可靠的方法,用于在水中现场检测重金属.
- 这项技术对实时环境监测和水质评估具有重大前景.
- 自动化方法最大限度地减少错误和污染,提高现场使用LIBS的实用性.
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