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Application of a Partial Least-Squares Regression Model for Spectral Correction in Inductively Coupled Plasma-Mass Spectrometry Analysis of Rare Earth Elements in Environmental Samples

机译:偏最小二乘回归模型用于光谱校正在环境样品中稀土元素的电感耦合等离子体质谱分析中的应用

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A method is described for the determination of rare earth elements(REEs) in environmental samples using inductively coupled plasma mass spectrometry (ICP-MS), employing a partial least squares regression (PLSR) model for the correction of interferences involving REE oxides, and hydroxides, isobaric spectral overlap, etc.. The interferences from REEs oxides and hydroxides were estimated to be 1 and 0.1% respectively. The PLSR model was satisfactorily used for the prediction of REE concentrations in different reference materials and environmental samples i.e. soil, sediment, sludge and seawater, with high accuracy and precision (RSD<5%) even in samples where high ratios of Ba/REEs and salt/REEs exist. The detection limit ranged from 14-34 ng/l.
机译:描述了一种使用电感耦合等离子体质谱(ICP-MS)测定环境样品中稀土元素(REE)的方法,该方法采用偏最小二乘回归(PLSR)模型来校正涉及REE氧化物和氢氧化物的干扰,等压光谱重叠等。据估计,稀土元素氧化物和氢氧化物的干扰分别为1%和0.1%。 PLSR模型可令人满意地用于预测不同参考物质和环境样品(例如土壤,沉积物,污泥和海水)中的REE浓度,即使在高Ba / REEs比例的样品中,也具有高精度和高精度(RSD <5%)。盐/稀土元素存在。检出限为14-34 ng / l。

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