空样排噪算法 (BSDA):在水样LIBS检测中有效减少光谱噪声.
Yiping Wang1, Jiamin Li1, Gongyi Xue2
1College of Physics Science, Qingdao University, Qingdao, 266071, China.
Talanta
|April 25, 2024
概括
一个新的去离子算法通过使用去离子化水光谱数据库来改进激光诱导分解光谱 (LIBS) 进行水分析. 这提高了水样元素分析的信号质量和检测极限.
科学领域:
- 分析化学 分析化学
- 频谱学是一种光谱学.
- 环境科学 环境科学
背景情况:
- 激光诱导分解光谱 (LIBS) 为水中的元素分析提供了优势.
- 水矩阵效应经常降低LIBS光谱信号质量 (SNR,稳定性).
- 弱光谱信号可能会被误认为噪声,限制检测能力.
研究的目的:
- 为从水样中获取的LIBS光谱数据开发一个强大的除算法.
- 改进水中元素分析的信号噪声比和检测极限.
- 建立一个实用的数据处理工作流程,以加强LIBS分析.
主要方法:
- 使用脱离离子水构建一个空白样本光谱数据库.
- 实施数据处理工作流程,包括空白样本选,内部标准校正,空白样本校正和光谱光滑.
- 将算法应用于海洋水样本中Na,Mg,Ca,K,Sr和Li的LIBS光谱数据.
主要成果:
- 显著改善光谱质量,SNR和检测极限至少提高了一级.
- 对Li的信号强度增加了多达36倍,对K的检测极限减少了25.2倍.
- 有效地提取以前无法观察到的弱光谱峰值,显示出增强的灵敏度.
结论:
- 拟议的排污算法和数据处理工作流程有效地增强了LIBS对水样的分析.
- 该方法简单,实用,并且可以普遍应用于各种水LIBS检测技术.
- 这种方法显示出在各种水生环境中改进元素分析的巨大潜力.
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