H. B. Andrews, Z. B. Kitzhaber, B. T. Manard, M. Z. Martin and L. R. Sadergaski
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引用次数: 0
Abstract
This article presents an engineered sampling system that used a rotating wheel to form a thin liquid layer, permitting the use of laser-induced breakdown spectroscopy (LIBS) for in situ, real-time elemental impurity quantification during liquid processing. The sampling approach was demonstrated on eight elements from across the periodic table (Na, Al, K, Ca, Ti, Sr, Mo, and Yb). Univariate and multivariate calibrations were presented for each element. The average value for percent root mean square errors of cross-validation for the multivariate models was 3.64%, highlighting the method's strong prediction accuracy. Additionally, the limits of detection for each analyte were estimated from their univariate models: Na = 0.0532, Al = 18.5, K = 0.105, Ca = 0.273, Ti = 67.7, Sr = 0.640, Mo = 22.4, and Yb = 22.9 μg mL−1. Finally, a test in which multivariate models were used to monitor a liquid system for 80 min was performed to investigate the real-time monitoring capabilities of this liquid LIBS sampling approach. Rigorous measurements were performed to effectively predict the absence and concentrations of multiple analytes as they were spiked and diluted. This demonstration showed the feasibility of using LIBS for real-time liquid quantification models with estimated precision ≤ 8.1%. Finally, the limitations of this approach and potential future improvements are discussed.
本文介绍了一种工程采样系统,该系统使用旋转轮形成薄液体层,允许在液体处理过程中使用激光诱导击穿光谱(LIBS)进行现场实时元素杂质定量。采样方法在元素周期表中的八种元素(Na, Al, K, Ca, Ti, Sr, Mo和Yb)上进行了演示。对每个元素进行了单因素和多因素校准。多元模型交叉验证的均方根误差平均值为3.64%,表明该方法具有较强的预测精度。此外,每种分析物的检出限由其单变量模型估计:Na = 0.0532, Al = 18.5, K = 0.105, Ca = 0.273, Ti = 67.7, Sr = 0.640, Mo = 22.4, Yb = 22.9 μg mL - 1。最后,通过多变量模型监测液体系统80分钟的测试,研究了这种液体LIBS采样方法的实时监测能力。进行了严格的测量,以有效地预测多种分析物在加标和稀释时的缺失和浓度。该演示证明了使用LIBS进行实时液体定量模型的可行性,估计精度≤8.1%。最后,讨论了这种方法的局限性和未来可能的改进。