基于使用石英调音叉进行等离子体声学校正的激光诱导分解光谱的检测稳定性和预测精度的提高
Peichao Zheng1, Zhicheng Sun1, Jinmei Wang2
1Chongqing Key Laboratory of Photoelectronic Information Sensing and Transmitting Technology, School of Electronic Science and Engineering, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China.
Talanta
|July 13, 2025
概括
使用石英调音叉的新方法显著改善了激光诱导分解光谱 (LIBS) 的定量分析. 这种声学校正提高了钢中的Cr,Cu,Ni和Mn等元素的光谱信号稳定性和准确性.
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) 中的定量分析在稳定性和准确性方面面临挑战.
- 激光诱导等离子体的变化会影响光谱信号强度和可靠性.
- 精确的钢材元素分析对于质量控制和材料识别至关重要.
研究的目的:
- 开发和验证LIBS使用石英调音叉的新型声学校正方法.
- 提高钢样品定量元素分析的稳定性和准确性.
- 将声学校正方法的性能与内部标准方法等传统技术进行比较.
主要方法:
- 同时采集激光诱导的等离子声学和光谱信号,使用石英调音叉和光谱仪.
- 利用获取的声信号来纠正钢中的Cr,Cu,Ni和Mn的光谱信号.
- 开发校准曲线和评估分析性能指标,如平均相对标准偏差 (ARSD),确定系数 (R2) 和平均相对误差 (ARE).
主要成果:
- 声学校正显著降低了四个元素的ARSD,从7.07%降至5.02%.
- 校准曲线的平均R2提高了1.02%,从0.976增加到0.986.
- 预测值的平均相对误差 (ARE) 从23.16%大幅降低至11.46%.
结论:
- 使用石英调音叉进行声学校正,有效地提高了LIBS中光谱信号的稳定性.
- 这种方法显著提高了钢的定量元素分析的准确性,超过了内部标准方法.
- 开发的技术提供了一种可靠的方法,用于更可靠地确定各种材料中的元素组成.
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