探索总反射X射线光 (TXRF) 与部分最小平方 (PLS) 结合的分析潜力,以简单地确定各种煤炭类型中的灰含量
Yongsheng Zhang1, Jian Yuan2, Rui Gao1
1State Key Laboratory of Quantum Optics and Quantum Optics Devices, Institute of Laser Spectroscopy, Shanxi University, Taiyuan, 030006, China; Collaborative Innovation Center of Extreme Optics, Shanxi University, Taiyuan, 030006, China.
Talanta
|August 27, 2024
概括
总反射X射线光 (TXRF) 与部分最小平方 (PLS) 结合,提供了一个无矩阵效应的方法,用于准确的煤灰测定. 这种方法显著改善了煤炭质量评估和能源利用.
科学领域:
- 分析化学 分析化学
- 材料科学 材料科学 材料科学
- 环境科学 环境科学
背景情况:
- 精确的煤灰测定对于优化煤炭能源利用和最小化环境影响至关重要.
- 传统的光谱方法与煤炭复杂的矩阵效应作斗争,阻碍了精确的灰含量分析.
- 煤炭分析中的矩阵效应源于其多样化的组成,分子结构和多种类型.
研究的目的:
- 调查使用全反射X射线光 (TXRF) 与部分最小平方 (PLS) 结合用于确定煤灰含量的可行性.
- 通过利用TXRF对矩阵效应的不敏感性来克服传统方法的局限性.
- 评估不同的样本准备策略和预测变量,以优化TXRF-PLS模型.
主要方法:
- 煤样品以悬浮形式制备,对TXRF分析的粒子大小和分散效应进行了评估.
- 使用感应合血质谱法 (ICP-MS) 和认证参考材料 (CRM) 验证了样本准备的准确性.
- 部分最小平方 (PLS) 模型是使用TXRF全频谱,元素特征峰值和元素度作为预测变量开发的.
主要成果:
- 使用内部标准强度规范化的全频谱的TXRF-PLS模型显示出优异的预测能力 (R2 = 0.9736,MSE = 0.99%).
- 这种优化的模型表明,与传统的X射线光 (XRF) 相比,测量精度提高了六倍.
- 该研究验证了样本准备方法,并确定了煤灰分析中最有效的预测变量.
结论:
- 将TXRF与PLS相结合,为煤灰的确定提供了一种强大而准确的方法,不受矩阵效应的影响.
- 开发的TXRF-PLS方法为可靠的煤炭质量评估和改善能源利用提供了显著的进步.
- 这种方法为煤炭行业和环境监测中的快速和精确分析提供了有希望的替代方案.
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