The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Sulfur Loading and Speciation Control the Hydrophobicity, Electron Transfer, Reactivity, and Selectivity of Sulfidized Nanoscale Zerovalent Iron
Open accessAbstract
Sulfidized nanoscale zerovalent iron (SNZVI) is a promising material for groundwater remediation. However, the relationships between sulfur content and speciation and the properties of SNZVI materials are unknown, preventing rational design. Here, the effects of sulfur on the crystalline structure, hydrophobicity, sulfur speciation, corrosion potential, and electron transfer resistance are determined. Sulfur incorporation extended the nano‐Fe 0 BCC lattice parameter, reduced the Fe local vacancies, and lowered the resistance to electron transfer. Impacts of the main sulfur species (FeS and FeS 2) on hydrophobicity (water contact angles) are consistent with density functional theory calculations for these FeSx phases. These properties well explain the reactivity and selectivity of SNZVI during the reductive dechlorination of trichloroethylene (TCE), a hydrophobic groundwater contaminant. Controlling the amount and speciation of sulfur in the SNZVI made it highly reactive (up to 0.41 L m−2 d−1) and selective for TCE degradation over water (up to 240 moles TCE per mole H 2 O), with an electron efficiency of up to 70%, and these values are 54‐fold, 98‐fold, and 160‐fold higher than for NZVI, respectively. These findings can guide the rational design of robust SNZVI with properties tailored for specific application scenarios.
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
The absolute energy positions of conduction and valence bands of selected semiconducting minerals
Xu, Y., & Schoonen, M. A. A. (2000) · American Mineralogist · doi:10.2138/am-2000-0416 · Cited by 3,864
Denton, A. R., & Ashcroft, N. W. (1991) · Physical Review A · doi:10.1103/physreva.43.3161 · Cited by 2,595
Rickard, D., & Luther, G. W. (2007) · Chemical Reviews · doi:10.1021/cr0503658 · Cited by 1,599
Synthesizing Nanoscale Iron Particles for Rapid and Complete Dechlorination of TCE and PCBs
Wang, C.-B., & Zhang, W.-X. (1997) · Environmental Science & Technology · doi:10.1021/es970039c · Cited by 1,598
Zou, Y., Wang, X., Khan, A., Wang, P., Liu, Y., Alsaedi, A., Hayat, T., & Wang, X. (2016) · Environmental Science & Technology · doi:10.1021/acs.est.6b01897 · Cited by 1,369
Remediation of Cr(VI) and Pb(II) Aqueous Solutions Using Supported, Nanoscale Zero-valent Iron
Ponder, S. M., Darab, J. G., & Mallouk, T. E. (2000) · Environmental Science & Technology · doi:10.1021/es9911420 · Cited by 1,209
Characterization of zero-valent iron nanoparticles
Sun, Y.-P., Li, X.-Q., Cao, J., Zhang, W.-X., & Wang, H. P. (2006) · Advances in Colloid and Interface Science · doi:10.1016/j.cis.2006.03.001 · Cited by 988
Liu, Y., Majetich, S. A., Tilton, R. D., Sholl, D. S., & Lowry, G. V. (2005) · Environmental Science & Technology · doi:10.1021/es049195r · Cited by 784
Self-citationShao, P., Tian, J., Yang, F., Duan, X., Gao, S., Shi, W., Luo, X., Cui, F., Luo, S., & Wang, S. (2018) · Advanced Functional Materials · doi:10.1002/adfm.201705295 · Cited by 698
Treatment of chlorinated organic contaminants with nanoscale bimetallic particles
Zhang, W.-X., Wang, C.-B., & Lien, H.-L. (1998) · Catalysis Today · doi:10.1016/s0920-5861(98)00067-4 · Cited by 577
Cited by
Chen, F., Yang, F., Liu, H., Che, S., Zhang, G., Xu, C., & Li, Y. (2022) · Chemical Engineering Journal · doi:10.1016/j.cej.2021.132904 · Cited by 33
Metadata
- Authors
- Xu, J., Avellan, A., Li, H., Liu, X., Noël, V., Lou, Z., Wang, Y., Kaegi, R., Henkelman, G., & Lowry, G. V.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2020-03-12
- Volume
- 32
- Issue
- 17
- Pages
- e1906910-e1906910
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W3011170454
- Cited by
- 389
- References
- 47
- FWCI
- 14.89
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Sulfur Loading and Speciation Control the Hydrophobicity, Electron Transfer, Reactivity, and Selectivity of Sulfidized Nanoscale Zerovalent Iron. https://app.cochat.ai/papers/10.1002/adma.201906910
- The paper
- Xu, J., Avellan, A., Li, H., Liu, X., Noël, V., Lou, Z., Wang, Y., Kaegi, R., Henkelman, G., & Lowry, G. V. (2020). Sulfur Loading and Speciation Control the Hydrophobicity, Electron Transfer, Reactivity, and Selectivity of Sulfidized Nanoscale Zerovalent Iron. Advanced Materials. https://doi.org/10.1002/adma.201906910
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.