选择(遗传算法)
等离子体
理论(学习稳定性)
信号(编程语言)
材料科学
分析化学(期刊)
计算机科学
化学
物理
色谱法
人工智能
机器学习
量子力学
程序设计语言
作者
Yunfeng Xia,Honglin Jian,Qishuai Liang,Xilin Wang
出处
期刊:Chemosensors
[MDPI AG]
日期:2025-02-01
卷期号:13 (2): 42-42
被引量:2
标识
DOI:10.3390/chemosensors13020042
摘要
Laser-induced breakdown spectroscopy (LIBS) is widely used for online quantitative analysis in industries due to its rapid analysis and minimal damage. However, challenges like signal instability, matrix effects, and self-absorption hinder the measurement accuracy. Recent approaches, including the internal standard method and crater limitation method, aim to improve the stability but suffer from high computational demands or complexity. This study proposes a method to enhance LIBS stability by utilizing craters formed from laser ablation without external cavity assistance. It first improves the plasma temperature calculation reliability using multiple elemental spectral lines, after which electron density calculations are performed. By fitting plasma parameter curves based on laser pulse counts and using a laser confocal microscope for crater analysis, stable plasma conditions were found within crater areas of 0.400 mm2 to 0.443 mm2 and depths of 0.357 mm to 0.412 mm. Testing with elemental spectral lines of Ti II, K II, Ca I, and Fe I showed a significant reduction in the relative standard deviation (RSD) of the LIBS spectral line intensity, demonstrating an improved signal stability within specified crater dimensions.
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