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利用基于同步加速器的微光谱技术阐明大西洋中部土壤中的土壤磷形态。

Elucidation of soil phosphorus speciation in mid-Atlantic soils using synchrotron-based microspectroscopic techniques.

机构信息

Dep. of Crop, Soil and Environmental Sciences, Auburn Univ., Auburn, AL, 36849, USA.

Dep. of Geosciences, Stony Brook Univ., Stony Brook, NY, 11790, USA.

出版信息

J Environ Qual. 2020 Jan;49(1):184-193. doi: 10.1002/jeq2.20027. Epub 2020 Feb 11.

Abstract

Phosphorus deficiency and excess are concomitant problems in agricultural soils of the mid-Atlantic region. A fundamental understanding of soil P speciation is essential to assess P fate and transport in these soils. Current methods for soil P speciation often rely on sequential chemical extractions, which can introduce artifacts during analysis. To overcome limitations of current methods, this study evaluated synchrotron-based micro-focused X-ray fluorescence (µ-XRF) and X-ray absorption near-edge spectroscopy (µ-XANES) techniques to assess soil P speciation in agricultural soils collected from the mid-Atlantic region of the United States. Three soils with varying chemical and physical properties were analyzed with µ-XRF maps collected at high (12,000 eV) and tender (2240 eV) energies to evaluate colocation of P with Fe, Al, Ca, and Si in soil samples, and µ-XANES spectra were collected at the P K-edge for P hotspots. Combined µ-XRF and µ-XANES analysis was useful for identifying Ca phosphate, Fe phosphate, Al-sorbed P, and Fe-sorbed P species in heterogeneous soil samples. X-ray fluorescence maps were valuable to distinguish Al-oxide sorbed P from Fe-oxide sorbed P species. A low signal-to-noise ratio often limited µ-XANES data collection in regions with diffuse, low concentrations of P. Therefore, some P species may not have been detected during analysis. Even with varying degrees of self-absorption and signal-to-noise ratios in µ-XANES spectra, important inferences regarding P speciation in mid-Atlantic soils were made. This study highlights the potential of µ-XANES analysis for use in environmental and agricultural sciences to provide insights into P fate and transport in soils.

摘要

磷的缺乏和过剩是美国大西洋中部地区农业土壤中同时存在的问题。深入了解土壤磷形态对于评估这些土壤中磷的归宿和运移至关重要。目前用于土壤磷形态分析的方法通常依赖于连续化学提取,这可能会在分析过程中引入假象。为了克服当前方法的局限性,本研究评估了基于同步加速器的微聚焦 X 射线荧光(µ-XRF)和 X 射线吸收近边光谱(µ-XANES)技术,以评估从美国大西洋中部地区采集的农业土壤中的土壤磷形态。分析了三种具有不同化学和物理性质的土壤,利用高能量(12000 eV)和低能量(2240 eV)采集的µ-XRF 图谱评估磷在土壤样本中与铁、铝、钙和硅的共定位,并在磷 K 边采集µ-XANES 光谱用于分析磷热点。结合 µ-XRF 和 µ-XANES 分析有助于识别土壤样品中不同磷形态,包括钙磷酸盐、铁磷酸盐、铝吸附磷和铁吸附磷。X 射线荧光图谱有助于区分铝氧化物吸附磷和铁氧化物吸附磷。在磷浓度低且分布弥散的区域,低信噪比通常限制了µ-XANES 数据的采集。因此,在分析过程中可能无法检测到某些磷形态。尽管 µ-XANES 光谱存在不同程度的自吸收和信噪比,但仍能对大西洋中部土壤的磷形态做出重要推断。本研究强调了µ-XANES 分析在环境和农业科学中的应用潜力,有助于深入了解土壤中磷的归宿和运移。

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