The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Reversed Anionic Hofmeister Series: The Interplay of Surface Charge and Surface Polarity
Abstract
We describe a two-scale modeling approach toward anion specificity at surfaces of varying charge and polarity. Explicit-solvent atomistic molecular dynamics simulations at neutral hydrophobic (i.e., nonpolar) and neutral hydrophilic (i.e., polar) self-assembled monolayers furnish potentials of mean force for Na(+) and the halide anions F(-), Cl(-), and I(-) which are then used within Poisson-Boltzmann theory to calculate ionic distributions at surfaces of arbitrary charge for finite ion concentration. On the basis of calculated long-ranged electrostatic forces and coagulation properties, we obtain the direct anionic Hofmeister series at negatively charged hydrophobic surfaces. Reversal takes place when going to negative polar or to positive nonpolar surfaces, leading to the indirect series, while for positive polar surfaces the direct series is again obtained. This is in full accordance with a recent experimental classification of colloidal coagulation kinetics and also reflects the trends of the ion specific solubility properties of proteins. A schematic Hofmeister phase diagram is proposed. Partial series reversal is understood as a transient phenomenon for surfaces of intermediate polarity or charge.
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
COLLINS, K. (2004) · Methods · doi:10.1016/j.ymeth.2004.03.021 · Cited by 1,091
Cited by
Salis, A., & Ninham, B. W. (2014) · Chem. Soc. Rev. · doi:10.1039/c4cs00144c · Cited by 574
Metadata
- Authors
- Schwierz, N., Horinek, D., & Netz, R. R.
- Venue
- Langmuir
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-04-02
- Volume
- 26
- Issue
- 10
- Pages
- 7370-7379
- ISSN
- 0743-7463 (ISSN-L)
- 1520-5827
- OpenAlex
- W2086875015
- Cited by
- 299
- References
- 1
- FWCI
- 15.07
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Reversed Anionic Hofmeister Series: The Interplay of Surface Charge and Surface Polarity. https://app.cochat.ai/papers/10.1021/la904397v
- The paper
- Schwierz, N., Horinek, D., & Netz, R. R. (2010). Reversed Anionic Hofmeister Series: The Interplay of Surface Charge and Surface Polarity. Langmuir. https://doi.org/10.1021/la904397v
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.