通过ICP-OES对球石中Cd度的不确定性评估:GUM和蒙特卡洛方法之间的比较研究
Chenglin Li1,2, Lin Xu1, Pan Wang1
1National Key Laboratory of Uranium Resources Exploration-Mining and Nuclear Remote Sensing, East China University of Technology, Nanchang, 330013, Jiangxi, China. xulin@ecut.edu.cn.
Analytical methods : advancing methods and applications
|November 12, 2025
概括
通过加权最小方程 (WLS) 校准和蒙特卡洛方法 (MCM) 不确定性评估,提高了精确的 (Cd) 在球石中的确定性. 这种综合方法提高了ICP-OES分析的可靠性.
科学领域:
- 地质化学 地质化学
- 分析化学 分析化学
- 材料科学 材料科学 材料科学
背景情况:
- 在地质和环境研究中,精确的 (Cd) 量化在球石中至关重要.
- 由于校准模型和质量评估不足,现有的方法面临挑战.
研究的目的:
- 使用ICP-OES优化校准模型,以在球石中确定Cd.
- 为了比较不确定性评估方法,特别是测量不确定性表达指南 (GUM) 和蒙特卡洛方法 (MCM).
- 开发一种可靠的Cd度不确定性评估的综合方法.
主要方法:
- 权重最小平方 (WLS) 线性回归用于仪器响应校准.
- 系统地比较GUM和MCM用于不确定性评估.
- 集成基于MCM的不确定性评估与WLS校准.
主要成果:
- 与普通最小平方 (OLS) 相比,WLS校准减少了62.84%的标准偏差.
- MCM提供了更现实的测量分布近似,结合了非线性效应.
- 从GUM扩展的不确定性偏离高达57.43%从MCM结果在WLS校准下.
结论:
- 整合了WLS校准和MCM不确定性评估,大大提高了球石中Cd定量化的准确性和可靠性.
- 在复杂的分析测量中,MCM为不确定性估计提供了一种卓越的方法.
- 在ICP-OES对球石的分析中,建议WLS用于信号校准.
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