The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Quantitative Speciation of Lead in Selected Mine Tailings from Leadville, CO
Abstract
We have characterized Pb speciation in selected tailings from the Leadville, CO, area using a variety of analytical techniques, including X-ray absorption fine structure (XAFS) spectroscopy. Samples from three locations were analyzed, including two chemically distinct tailings piles located within the city limits [Apache (pyrite-rich, low pH) and Hamms (carbonate-rich, near-neutral pH)] and tailings material deposited as overbank sediments along the Arkansas River approximately 13 km downstream from Leadville (Arkansas River tailings). Extended XAFS (EXAFS) spectra of these multicomponent samples were fit using linear combinations of model compound spectra. In accordance with pH differences among the samples, adsorbed Pb accounts for ∼50% of total Pb (Pb T ) in fine fractions of the near-neutral pH Hamms tailings, whereas Pb-bearing jarosites account for the majority of Pb T in the fine fractions of the low pH Apache and Arkansas River tailings. EXAFS analyses following sequential extraction by MgCl 2 and EDTA show evidence of significant redistribution (readsorption) of Pb during the MgCl 2 extraction and for removal of adsorbed Pb and dissolution of Pb-carbonates during the EDTA extraction. Changes in Pb speciation with water extraction (dissolution of anglesite and precipitation of plumbojarosite) are observed in one sample of Arkansas River tailings. These molecular-scale results show that Pb speciation varies dramatically among environments in the Leadville area and that Pb occurs in a number of phases not amenable to definitive characterization by conventional microanalytical and/or chemical extraction techniques.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Sequential extraction procedure for the speciation of particulate trace metals
Tessier, A., Campbell, P. G. C., & Bisson, M. (1979) · Analytical Chemistry · doi:10.1021/ac50043a017 · Cited by 12,052
Cited by
Is there a future for sequential chemical extraction?
Bacon, J. R., & Davidson, C. M. (2008) · The Analyst · doi:10.1039/b711896a · Cited by 649
Quantitative Speciation of Heavy Metals in Soils and Sediments by Synchrotron X-ray Techniques
Manceau, A., Marcus, M. A., & Tamura, N. (2002) · Reviews in Mineralogy and Geochemistry · doi:10.2138/gsrmg.49.1.341 · Cited by 451
Ressler, T., Wong, J., Roos, J., & Smith, I. L. (2000) · Environmental Science & Technology · doi:10.1021/es990787x · Cited by 340
Swartz, C. H., Blute, N. K., Badruzzman, B., Ali, A., Brabander, D., Jay, J., Besancon, J., Islam, S., Hemond, H. F., & Harvey, C. F. (2004) · Geochimica et Cosmochimica Acta · doi:10.1016/j.gca.2004.04.020 · Cited by 293
Quantitative Zn speciation in smelter-contaminated soils by EXAFS spectroscopy
Manceau, A. (2000) · American Journal of Science · doi:10.2475/ajs.300.4.289 · Cited by 285
Metadata
- Authors
- Ostergren, J. D., Brown, Parks, G. A., & Tingle, T. N.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 1999-04-03
- Volume
- 33
- Issue
- 10
- Pages
- 1627-1636
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2005594134
- Cited by
- 201
- References
- 1
- FWCI
- 13.17
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.