首页> 外文期刊>Journal of synchrotron radiation >In situ chemical speciation of iron in estuarine sediments using XANES spectroscopy with partial least-squares regression
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In situ chemical speciation of iron in estuarine sediments using XANES spectroscopy with partial least-squares regression

机译:利用XANES光谱和偏最小二乘回归技术对河口沉积物中的铁进行原位化学形态分析

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摘要

X-ray absorption near-edge structure (XANES) spectroscopy has been applied to the quantitative determination of iron species in estuarine sediments. Mixtures of pyrite, olivine, and goethite were prepared as model mixtures containing ferrous sulfides, ferrous silicates, and ferric oxides and/or hydroxides, respectively. For resolving XANES spectra of these mixtures and quantifying the Fe-bearing minerals, partial least-squares (PLS) regression has been employed. The obtained PLS regression gave sufficient precision and this technique was applied to the XANES spectra of estuarine sediments collected from the Tama River in Tokyo, japan. The relative abundances of iron species thus determined were consistent with the Mossbauer spectroscopic results.
机译:X射线吸收近边缘结构(XANES)光谱已用于定量测定河口沉积物中铁的​​种类。将黄铁矿,橄榄石和针铁矿的混合物制备为分别包含硫化亚铁,硅酸亚铁和三氧化二铁和/或氢氧化铁的模型混合物。为了解析这些混合物的XANES光谱并量化含铁矿物,已采用偏最小二乘(PLS)回归。所获得的PLS回归给出了足够的精度,并将此技术应用于从日本东京的多摩河收集的河口沉积物的XANES光谱。如此测定的铁种类的相对丰度与莫斯鲍尔光谱结果一致。

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