U.S. Department of Energy Office of Biological and Environmental Research

BER Research Highlights


Sorption to Organic Matter Controls Uranium Mobility
Published: January 24, 2017
Posted: September 05, 2017

Organic matter controls uranium mobility.

The Science  
A new multi-technique study using X-ray absorption spectroscopy at the Stanford Synchrotron Radiation Laboratory (SSRL) and Nano-Secondary Ion Mass Spectroscopy (NanoSIMS) at the Environmental Molecular Science Laboratory (EMSL), an Office of Science User Facility, has revealed crisp new details about the mechanisms of uranium binding in sediments. Surfaces of natural organic matter bind uranium more strongly than minerals under field-relevant conditions.

The Impact
Uranium is less stable and more easily remobilized when bound to surfaces of organic matter and mineral as compared to being incorporated with mineral precipitates. This new finding implies that reduced uranium is much more reactive and able to participate in repeated biogeochemical cycling than previously thought to be the case.

Summary
Uranium is an important carbon-neutral energy source and major subsurface contaminant at DOE legacy sites. Anoxic sediments, which are common in alluvial aquifers, are important concentrators of uranium, where it accumulates in the tetravalent state, U(IV). Uranium-laden sediments pose risks as ‘secondary sources’ from which uranium can be re-released to aquifers, prolonging its impact on local water supplies. In spite of its importance, little is known about the speciation of U(IV) in these geochemical environments. Uranium analysis is challenged by its low concentrations and the tremendous chemical and physical complexity of natural sediments. U(IV) binds to both organic matter and minerals, which can be co-associated at the scale of 10s to 100s of nanometers. Because of the multiplicity and similarity of binding sites present in samples, “standby” analytical techniques such as X-ray absorption spectroscopy are challenged to distinguish the molecular structure of U(IV) in these natural sediments. The molecular nature of accumulated U(IV) is however a first-order question, as the susceptibility of uranium to oxidative mobilization is mediated by its structure.  

In an SSRL-based study, Bone et al (2017) overcame these challenges by combining X-ray absorption spectroscopy, NanoSIMS, and STXM measurements to characterize the local structure and nanoscale localization of uranium and the character of organic functional groups. This work showed that complexes of U(IV) adsorb on organic carbon and organic carbon-coated clays in an organic-rich natural substrate under field-relevant conditions. Furthermore, whereas previous research assumed that U(IV) speciation is dictated by the mode of reduction (i.e., whether reduction is mediated by microbes or by inorganic reductants), this work demonstrated that precipitation of U(IV) minerals, such as UO2, can be inhibited simply by decreasing the total concentration of U, while maintaining the same concentration of sorbent. This conclusion is significant because UO2 (uraninite) and other minerals are much more stable and more readily remobilized than surface-complexed forms of U(IV). Thus, the number and type of organic and mineral surface binding sites that are available have a profound influence on U(IV) behavior. Projections of U transport and bioavailability, and thus its threat to human and ecosystem health, must consider U(IV) adsorption to organic matter within the local sediment environment.

Contacts (BER PM)
Roland Hirsch
DOE Office of Biological and Environmental Research, Climate and Environmental Sciences Division
roland.hirsch@science.doe.gov

(PI Contact)
John Bargar
SLAC National Accelerator Laboratory, Stanford Synchrotron Radiation Laboratory
Bargar@slac.stanford.edu

Funding
Funding was provided by the DOE Office of Biological and Environmental Research, Subsurface Biogeochemistry Research (SBR) activity to the SLAC Science Focus Area under contract DE-AC02-76SF00515 to SLAC. Use of SSRL is supported by the U.S. DOE, Office of Basic Energy Sciences. A portion of the research was performed using EMSL, a DOE Office of Science User Facility sponsored by the Office of Biological and Environmental Research (located at PNNL). Research described in this paper was performed at beamline 10ID-1 the CLS, which is supported by NSERC, CIHR, NRC, WEDC, the University of Saskatchewan, and the Province of Saskatchewan. The authors thank Ann Marshall for assistance in collecting TEM images at the Stanford Nano Shared Facilities.

Publications
Bone SE, Dynes JJ, Cliff J, & Bargar JR “Uranium(IV) adsorption by natural organic matter in sediments.” Proceedings of the National Academy of Sciences of the United States of America 114(4), 711-716. [10.1073/pnas.1611918114] (Reference link)

Topic Areas:

  • Research Area: Subsurface Biogeochemical Research
  • Research Area: DOE Environmental Molecular Sciences Laboratory (EMSL)

Division: SC-23.1 Climate and Environmental Sciences Division, BER

 

BER supports basic research and scientific user facilities to advance DOE missions in energy and environment. More about BER

Recent Highlights

May 10, 2019
Quantifying Decision Uncertainty in Water Management via a Coupled Agent-Based Model
Considering risk perception can improve the representation of human decision-making processes in age [more...]

May 09, 2019
Projecting Global Urban Area Growth Through 2100 Based on Historical Time Series Data and Future Scenarios
Study provides country-specific urban area growth models and the first dataset on country-level urba [more...]

May 05, 2019
Calibrating Building Energy Demand Models to Refine Long-Term Energy Planning
A new, flexible calibration approach improved model accuracy in capturing year-to-year changes in bu [more...]

May 03, 2019
Calibration and Uncertainty Analysis of Demeter for Better Downscaling of Global Land Use and Land Cover Projections
Researchers improved the Demeter model’s performance by calibrating key parameters and establi [more...]

Apr 22, 2019
Representation of U.S. Warm Temperature Extremes in Global Climate Model Ensembles
Representation of warm temperature events varies considerably among global climate models, which has [more...]

List all highlights (possible long download time)