The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.
Dechlorination of Excess Trichloroethene by Bimetallic and Sulfidated Nanoscale Zero-Valent Iron
Abstract
Nanoscale zerovalent iron (nZVI) likely finds its application in source zone remediation. Two approaches to modify nZVI have been reported: bimetal (Fe–Me) and sulfidated nZVI (S-nZVI). However, previous research has primarily focused on enhancing particle reactivity with these two modifications under more plume-like conditions. In this study, we systematically compared the trichloroethene (TCE) dechlorination pathway, rate, and electron selectivity of Fe-Me (Me: Pd, Ni, Cu, and Ag), S-nZVI, and nZVI with excess TCE simulating source zone conditions. TCE dechlorination on Fe-Me was primarily via hydrogenolysis while that on S-nZVI and nZVI was mainly via β-elimination. The surface-area normalized TCE reduction rate ( k ′ SA ) of Fe–Pd, S-nZVI, Fe–Ni, Fe–Cu, and Fe–Ag were ∼6800-, 190-, 130-, 20-, and 8-fold greater than nZVI. All bimetallic modification enhanced the competing hydrogen evolution reaction (HER) while sulfidation inhibited HER. Fe–Cu and Fe–Ag negligibly enhanced electron utilization efficiency (ε e ) while Fe–Pd, Fe–Ni, and S-nZVI dramatically increased ε e from 2% to ∼100%, 69%, and 72%, respectively. Adsorbed atomic hydrogen was identified to be responsible for the TCE dechlorination on Fe–Me but not on S-nZVI. The enhanced dechlorination rate along with the reduced HER of S-nZVI can be explained by that FeS conducting major electrons mediated TCE dechlorination while Fe oxides conducting minor electrons mediated HER.
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
Trends in the exchange current for hydrogen evolution
Nørskov, J. K., Bligaard, T., Logadottir, A., Kitchin, J. R., Chen, J. G., Pandelov, S., & Stimming, U. (2005) · Journal of The Electrochemical Society · doi:10.1149/1.1856988 · Cited by 6,121
Identification of Active Edge Sites for Electrochemical H 2 Evolution from MoS 2 Nanocatalysts
Jaramillo, T. F., Jørgensen, K. P., Bonde, J., Nielsen, J. H., Horch, S., & Chorkendorff, I. (2007) · Science · doi:10.1126/science.1141483 · Cited by 6,100
Biomimetic Hydrogen Evolution: MoS 2 Nanoparticles as Catalyst for Hydrogen Evolution
Hinnemann, B., Moses, P. G., Bonde, J., Jørgensen, K. P., Nielsen, J. H., Horch, S., Chorkendorff, I., & Nørskov, J. K. (2005) · Journal of the American Chemical Society · doi:10.1021/ja0504690 · Cited by 4,065
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
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
Reductive Dehalogenation of Chlorinated Methanes by Iron Metal
Matheson, L. J., & Tratnyek, P. G. (1994) · Environmental Science & Technology · doi:10.1021/es00061a012 · Cited by 1,391
Skúlason, E., Tripkovic, V., Björketun, M. E., Gudmundsdóttir, S., Karlberg, G., Rossmeisl, J., Bligaard, T., Jónsson, H., & Nørskov, J. K. (2010) · The Journal of Physical Chemistry C · doi:10.1021/jp1048887 · Cited by 1,271
Sheng, W., Myint, M., Chen, J. G., & Yan, Y. (2013) · Energy & Environmental Science · doi:10.1039/c3ee00045a · Cited by 1,202
Nanoscale zero-valent iron: Future prospects for an emerging water treatment technology
Crane, R. A., & Scott, T. B. (2012) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2011.11.073 · Cited by 1,154
Sheng, W., Zhuang, Z., Gao, M., Zheng, J., Chen, J. G., & Yan, Y. (2015) · Nature Communications · doi:10.1038/ncomms6848 · Cited by 1,136
Cited by
Xu, J., Avellan, A., Li, H., Liu, X., Noël, V., Lou, Z., Wang, Y., Kaegi, R., Henkelman, G., & Lowry, G. V. (2020) · Advanced Materials · doi:10.1002/adma.201906910 · Cited by 389
Removal of organic compounds by nanoscale zero-valent iron and its composites
Li, Q., Chen, Z., Wang, H., Yang, H., Wen, T., Wang, S., Hu, B., & Wang, X. (2021) · Science of The Total Environment · doi:10.1016/j.scitotenv.2021.148546 · Cited by 380
Metadata
- Authors
- He, F., Li, Z., Shi, S., Xu, W., Sheng, H., Gu, Y., Jiang, Y., & Xi, B.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-06-28
- Volume
- 52
- Issue
- 15
- Pages
- 8627-8637
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2810575418
- Cited by
- 363
- References
- 68
- FWCI
- 11.80
- 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.