研究一种新的多重选方法,用于激光诱导的等离子体光谱学,利用洛伦茨法
Jingjun Lin1, Panyang Dai1, Changjin Che2
1Changchun University of Technology, Changchun, Jilin130012, China.
Talanta
|April 17, 2024
概括
本研究引入了洛伦兹选和灵敏度和波动性分析,通过选择高质量的光谱线来改进激光诱导分解光谱 (LIBS). 这种方法提高了和等元素的定量分析准确度.
科学领域:
- 分析化学 分析化学
- 频谱学是一种光谱学.
背景情况:
- 激光诱导分解光谱学 (LIBS) 的准确定量分析依赖于复杂光谱的有效选和提取.
- 干扰峰值和光谱波动性可以显著降低分析精度.
研究的目的:
- 开发和验证用于LIBS分析的新型多阶段光谱选方法.
- 提高使用LIBS的定量元素分析的准确性和可靠性.
主要方法:
- 洛伦兹拟合适用于对称采样标准,用于统一的光谱选和消除相邻干扰.
- 灵敏度和波动性分析,使用Z-score方法,进一步细化基于强度-度相关性的峰值选择,最大限度地降低波动性和最大限度地提高灵敏度.
- 选择带有最小干扰和波动的光谱线.
主要成果:
- (Cr) 的定量准确性 (R2) 达到0.9919,平均误差为0.0566%.
- (Ni) 的定量准确性 (R2) 达到0.9768,平均误差为0.1024%.
- 综合选方法成功识别了高质量的特征光谱线,提高了模型性能.
结论:
- 洛伦茨选与敏感性和波动性分析相结合,提供了一种强大的方法来增强LIBS定量分析.
- 开发的技术有效地减少了光谱干扰,并改善了可靠光谱线的选择.
- 这种方法显著提高了LIBS应用中的元素确定精度和准确性.
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