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利用高能共振荧光 X 射线吸收近边结构(HERFD-XANES)在砷 K 边分析中提高砷形态分析的精度:以矿山废物中砷形态为例。

Improved precision in As speciation analysis with HERFD-XANES at the As K-edge: the case of As speciation in mine waste.

机构信息

Department of Earth and Environmental Sciences, University of Waterloo, Waterloo, ON, Canada.

Structural Biology Center, Advanced Photon Source, Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA.

出版信息

J Synchrotron Radiat. 2022 Sep 1;29(Pt 5):1198-1208. doi: 10.1107/S1600577522007068. Epub 2022 Aug 11.

Abstract

High-energy-resolution fluorescence-detected (HERFD) X-ray absorption near-edge spectroscopy (XANES) is a spectroscopic method that allows for increased spectral feature resolution, and greater selectivity to decrease complex matrix effects compared with conventional XANES. XANES is an ideal tool for speciation of elements in solid-phase environmental samples. Accurate speciation of As in mine waste materials is important for understanding the mobility and toxicity of As in near-surface environments. In this study, linear combination fitting (LCF) was performed on synthetic spectra generated from mixtures of eight measured reference compounds for both HERFD-XANES and transmission-detected XANES to evaluate the improvement in quantitative speciation with HERFD-XANES spectra. The reference compounds arsenolite (AsO), orpiment (AsS), getchellite (AsSbS), arsenopyrite (FeAsS), kaňkite (FeAsO·3.5HO), scorodite (FeAsO·2HO), sodium arsenate (NaAsO), and realgar (AsS) were selected for their importance in mine waste systems. Statistical methods of principal component analysis and target transformation were employed to determine whether HERFD improves identification of the components in a dataset of mixtures of reference compounds. LCF was performed on HERFD- and total fluorescence yield (TFY)-XANES spectra collected from mine waste samples. Arsenopyrite, arsenolite, orpiment, and sodium arsenate were more accurately identified in the synthetic HERFD-XANES spectra compared with the transmission-XANES spectra. In mine waste samples containing arsenopyrite and either scorodite or kaňkite, LCF with HERFD-XANES measurements resulted in fits with smaller R-factors than concurrently collected TFY measurements. The improved accuracy of HERFD-XANES analysis may provide enhanced delineation of As phases controlling biogeochemical reactions in mine wastes, contaminated soils, and remediation systems.

摘要

高能量分辨率荧光探测(HERFD)X 射线吸收近边结构(XANES)光谱学是一种光谱方法,它可以提高光谱特征的分辨率,并通过与传统 XANES 相比具有更大的选择性来减少复杂的基质效应。XANES 是一种用于固相环境样品中元素形态分析的理想工具。准确地对矿山废物中的砷进行形态分析,对于了解近地表环境中砷的迁移性和毒性非常重要。在这项研究中,对通过混合物的合成光谱进行线性组合拟合(LCF),这些混合物是通过八种测量的参考化合物的混合物生成的,用于 HERFD-XANES 和透射探测 XANES,以评估 HERFD-XANES 光谱在定量形态分析中的改善。选择雄黄(AsO)、雌黄(AsS)、辉砷矿(AsSbS)、黄铁矿(FeAsS)、钙铁砷石(FeAsO·3.5HO)、羟砷铁矿(FeAsO·2HO)、砷酸钠(NaAsO)和雄黄(AsS)作为参考化合物,因为它们在矿山废物系统中很重要。主成分分析和目标转换的统计方法被用来确定 HERFD 是否可以改善混合物参考化合物数据集中的成分的识别。对从矿山废物样品中收集的 HERFD 和总荧光产率(TFY)-XANES 光谱进行了 LCF。与透射 XANES 光谱相比,在合成的 HERFD-XANES 光谱中,黄铁矿、雄黄、雌黄和砷酸钠的识别更为准确。在含有黄铁矿和羟砷铁矿或钙铁砷石的矿山废物样品中,与同时采集的 TFY 测量结果相比,HERFD-XANES 测量结果的 LCF 产生了更小的 R 因子拟合。HERFD-XANES 分析的准确性提高可能为矿山废物、污染土壤和修复系统中控制生物地球化学反应的砷相提供更精细的描绘。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7f2/9455218/53619757ecbf/s-29-01198-fig1.jpg

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