通过声光光谱融合LIBS技术补偿LIBS矩阵效应偏差.
Jiayuan Zhou1, Weihua Huang1, Harse Sattar2
1Wuhan National Laboratory for Optoelectronics (WNLO), Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China.
Talanta
|June 24, 2025
概括
这项研究引入了声光光谱融合激光诱导分解光谱学 (AOSF-LIBS),以克服元素分析中的矩阵效应. 这种新方法显著提高了用于精确定量测量的光谱精度.
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) 对于快速的元素分析至关重要.
- 在LIBS中的矩阵效应会导致光谱偏差,限制定量准确性.
- 现有的LIBS方法在不同的样本矩阵中与光谱变异性作斗争.
研究的目的:
- 开发一种创新的融合方法,声光光谱融合激光诱导分解光谱学 (AOSF-LIBS),以弥补LIBS矩阵效应.
- 提高各种材料元素量化的精度和可靠性.
- 为了验证AOSF-LIBS在纠正多个矩阵的光谱偏差方面的有效性.
主要方法:
- 分析了由于矩阵效应而影响光谱差异的五个关键因素.
- 将声信号 (LIPA) 转换为时间频域 (声谱) 以捕捉等离子体进化.
- 融合声谱图能量/面积数据与LIBS衍生的等离子体温度,电子密度和元素干扰,以创建光谱偏差映射模型.
主要成果:
- AOSF-LIBS有效地弥补了,铁,和矩阵中的光谱偏差.
- 在补偿后,所有测试矩阵的R平方值改善到>0.98.
- 在训练和测试组中,观察到RMSE (11.4%),MAPE (42.3%) 和RSD (3.2%) 的平均显著减少.
结论:
- AOSF-LIBS成功地弥补了由矩阵效应引起的光谱偏差,从而实现了高精度的元素量化.
- 声信号在偏差补偿模型中起着至关重要的作用,这得到了废除研究的证实.
- AOSF-LIBS准备在复杂样本的元素分析中显著推进LIBS的应用.
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