从光谱干扰到重叠特征:一个全光谱的LIBS Voigt分解策略与肩部检测和剩余完成
Panyang Dai1, Peichao Zheng2, Jinmei Wang2
1School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.
Analytical chemistry
|February 26, 2026
概括
一种新的激光诱导分解光谱 (LIBS) 方法使用Voigt分解来解决重叠的光谱线,通过准确识别弱或肩状光谱特征来改进复杂合金的定量分析.
科学领域:
- 分析化学 分析化学
- 频谱学是一种光谱学.
- 材料科学 材料科学 材料科学
背景情况:
- 激光诱导分解光谱 (LIBS) 提供了快速的元素分析,但由于线路拥挤和等离子体扩展而遭受光谱干扰和重叠特征.
- 这种干扰显著降低了LIBS分析的定量性能,尤其是复杂合金.
研究的目的:
- 开发一个强大的全谱Voigt分解策略,以克服LIBS中的光谱干扰和重叠特征.
- 提高复杂材料LIBS分析的定量准确性和可靠性.
主要方法:
- 一种新的策略,将肩部检测与基于残留的线路完成相结合,用于全频谱的Voigt分解.
- 用线条列表和仪器分辨率将频谱划分为感兴趣的区域 (ROI).
- 有限制的多元组件Voigt配件与统计指导的残余分析来识别和恢复弱或肩状的光谱线.
主要成果:
- 在合成和实验LIBS数据中证明了重叠的光谱特征的改进分离.
- 实现了线路强度相对标准偏差的减少,表明了更精确的测量.
- 显示了光谱线强度和元素度之间的增强相关性,验证了更好的定量准确性.
结论:
- 拟议的Voigt分解策略有效地解决了LIBS中的光谱干扰和重叠特征.
- 这种基于物理的框架提供了一个可扩展的解决方案,用于使用LIBS对复杂合金进行准确的定量分析.
- 该方法提高了LIBS在材料表征方面的整体性能和可靠性.
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