The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Aging of Iron Nanoparticles in Aqueous Solution: Effects on Structure and Reactivity
Abstract
Aging (or longevity) is one of the most important and potentially limiting factors in the use of nano-Fe 0 to reduce groundwater contaminants. We investigated the aging of Fe H2 (Toda RNIP-10DS) in water with a focus on changes in (i) the composition and structure of the particles (by XRD, TEM, XPS, and bulk Fe 0 content) and (ii) the reactivity of the particles (by carbon tetrachloride reaction kinetics, electrochemical corrosion potentials, and H 2 production rates). Our results show that Fe H2 becomes more reactive between 0 and ∼2 days exposure to water and then gradually loses reactivity over the next few hundred days. These changes in reactivity correlate with evidence for rapid destruction of the original Fe(III) oxide film on Fe H2 during immersion and the subsequent formation of a new passivating mixed-valence Fe(II)−Fe(III) oxide shell. The effect of aging on the rate of carbon tetrachloride reduction was best described by the corrosion potential of Fe H2, whereas the yield of chloroform from this reaction correlated best with the rate of H 2 production. The behavior of unaged nano-Fe 0 in the laboratory may be similar to that in field-scale applications for source-zone treatment due to the short reaction times involved. Long-term aged Fe H2 acquires properties that are relatively stable over weeks or even months.
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
Nanoscale iron particles for environmental remediation: An overview
Zhang, W.-X. (2003) · Journal of Nanoparticle Research · doi:10.1023/a:1025520116015 · Cited by 2,003
Cited by
Nanoscale zero valent iron and bimetallic particles for contaminated site remediation
O’Carroll, D., Sleep, B., Krol, M., Boparai, H., & Kocur, C. (2013) · Advances in Water Resources · doi:10.1016/j.advwatres.2012.02.005 · Cited by 872
Critical Review of Pd-Based Catalytic Treatment of Priority Contaminants in Water
Chaplin, B. P., Reinhard, M., Schneider, W. F., Schüth, C., Shapley, J. R., Strathmann, T. J., & Werth, C. J. (2012) · Environmental Science & Technology · doi:10.1021/es204087q · Cited by 458
Advances in Surface Passivation of Nanoscale Zerovalent Iron: A Critical Review
Bae, S., Collins, R. N., Waite, T. D., & Hanna, K. (2018) · Environmental Science & Technology · doi:10.1021/acs.est.8b01734 · Cited by 435
Environmental transformations and ecological effects of iron-based nanoparticles
Lei, C., Sun, Y., Tsang, D. C. W., & Lin, D. (2018) · Environmental Pollution · doi:10.1016/j.envpol.2017.09.052 · Cited by 347
Refining in vitro models for nanomaterial exposure to cells and tissues
Guggenheim, E. J., Milani, S., Röttgermann, P. J. F., Dusinska, M., Saout, C., Salvati, A., Rädler, J. O., & Lynch, I. (2018) · NanoImpact · doi:10.1016/j.impact.2018.02.008 · Cited by 36
Metadata
- Authors
- Sarathy, V., Tratnyek, P. G., Nurmi, J. T., Baer, D. R., Amonette, J. E., Chun, C. L., Penn, R. L., & Reardon, E. J.
- Venue
- The Journal of Physical Chemistry C
- Publisher
- American Chemical Society (ACS)
- Published
- 2008-01-30
- Volume
- 112
- Issue
- 7
- Pages
- 2286-2293
- ISSN
- 1932-7447 (ISSN-L)
- 1932-7455
- OpenAlex
- W2092413347
- Cited by
- 251
- References
- 1
- FWCI
- 7.89
- 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.