The DOI matches its Crossref record.
Generic NICA−Donnan Model Parameters for Metal-Ion Binding by Humic Substances
Open accessAbstract
A total of 171 datasets of literature and experimental data for metal-ion binding by fulvic and humic acids have been digitized and re-analyzed using the NICA-Donnan model. Generic parameter values have been derived that can be used for modeling in the absence of specific metalion binding measurements. These values complement the previously derived generic descriptions of proton binding. For ions where the ranges of pH, concentration, and ionic strength conditions are well covered by the available data,the generic parameters successfully describe the metalion binding behavior across a very wide range of conditions and for different humic and fulvic acids. Where published data for other metal ions are too sparse to constrain the model well, generic parameters have been estimated by interpolating trends observable in the parameter values of the well-defined data. Recommended generic NICA-Donnan model parameters are provided for 23 metal ions (Al, Am, Ba, Ca, Cd, Cm, Co, CrIII, Cu, Dy, Eu, FeII, FeIII, Hg, Mg, Mn, Ni, Pb, Sr, Thv, UVIO2, VIIIO, and Zn) for both fulvic and humic acids. These parameters probably represent the best NICA-Donnan description of metal-ion binding that can be achieved using existing data.
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
Cited by
Proton-binding study of standard and reference fulvic acids, humic acids, and natural organic matter
Ritchie, J. D., & Perdue, E. M. (2003) · Geochimica et Cosmochimica Acta · doi:10.1016/s0016-7037(02)01044-x · Cited by 688
Aquatic Colloids and Nanoparticles: Current Knowledge and Future Trends
Lead, J. R., & Wilkinson, K. J. (2006) · Environmental Chemistry · doi:10.1071/en06025 · Cited by 526
Leaching of Heavy Metals from Contaminated Soils: An Experimental and Modeling Study
Dijkstra, J. J., Meeussen, J. C. L., & Comans, R. N. J. (2004) · Environmental Science & Technology · doi:10.1021/es049885v · Cited by 393
Vanadium geochemistry in the biogeosphere –speciation, solid-solution interactions, and ecotoxicity
Gustafsson, J. P. (2019) · Applied Geochemistry · doi:10.1016/j.apgeochem.2018.12.027 · Cited by 292
Hinsinger, P., Brauman, A., Devau, N., Gérard, F., Jourdan, C., Laclau, J.-P., Le Cadre, E., Jaillard, B., & Plassard, C. (2011) · Plant and Soil · doi:10.1007/s11104-011-0903-y · Cited by 276
Ozone oxidation for the alleviation of membrane fouling by natural organic matter: A review
Van Geluwe, S., Braeken, L., & Van der Bruggen, B. (2011) · Water Research · doi:10.1016/j.watres.2011.04.016 · Cited by 276
Smedley, P. L., Zhang, M., Zhang, G., & Luo, Z. (2003) · Applied Geochemistry · doi:10.1016/s0883-2927(03)00062-3 · Cited by 256
Chemical characterization of urban stormwater: traditional and emerging contaminants
Pamuru, S. T., Forgione, E., Croft, K., Kjellerup, B. V., & Davis, A. P. (2022) · Science of The Total Environment · doi:10.1016/j.scitotenv.2021.151887 · Cited by 120
Silvani, L., Cornelissen, G., Botnen Smebye, A., Zhang, Y., Okkenhaug, G., Zimmerman, A. R., Thune, G., Sævarsson, H., & Hale, S. E. (2019) · Science of The Total Environment · doi:10.1016/j.scitotenv.2019.133693 · Cited by 103
Ray, J. R., Shabtai, I. A., Teixidó, M., Mishael, Y. G., & Sedlak, D. L. (2019) · Water Research · doi:10.1016/j.watres.2019.03.097 · Cited by 101
Umbo, S., Lechleitner, F., Opel, T., Modestou, S., Braun, T., Vaks, A., Henderson, G., Scott, P., Osintzev, A., Kononov, A., et al. (2025) · Climate of the Past · doi:10.5194/cp-21-1533-2025 · Cited by 1
Metadata
- Authors
- Milne, C. J., Kinniburgh, D. G., van Riemsdijk, W. H., & Tipping, E.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2003-02-04
- Volume
- 37
- Issue
- 5
- Pages
- 958-971
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2114746685
- Cited by
- 812
- References
- 0
- FWCI
- 51.35
- Type
- journal article
- Language
- en
- Open access
- green
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.
