Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 548

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

Delivery Vehicles for Zerovalent Metal Nanoparticles in Soil and Groundwater

Schrick, Bettina, Hydutsky, Bianca W., Blough, Jennifer L., Mallouk, Thomas E.·2004·Chemistry of Materials

Abstract

Anionic, hydrophilic carbon (Fe/C) and poly(acrylic acid)-supported (Fe/PAA) zerovalent iron nanoparticles were studied as a reactive material for the dehalogenation of chlorinated hydrocarbons in groundwater and soils. The transport of Fe/C nanoparticles was studied by elution through columns packed with model soils from different regions of the USDA soil textural triangle, and was compared to that of unsupported Fe nanoparticles. The Fe/C and Fe/PAA particles form colloidal suspensions that settle very slowly (hours to days) in water. Their anionic surface charge facilitates transport through soil- and sand-packed columns. Elution lengths from column breakthrough studies were compared with calculations based on the Tufenkji−Elimelech model ( Environ Sci. Technol . 2004, 38, 529). It can be concluded from this comparison that nanoparticle diffusion is the dominant filtration mechanism, and that Fe/PAA and Fe/C particles have sticking coefficients on the order of 0.36 and ≤0.07, respectively, in sand and 0.05 and ≤0.01, respectively, in clay-rich Chagrin soil. In contrast, unsupported Fe nanoparticles rapidly agglomerate in water and are efficiently filtered by all of the soils tested, except for the clay-rich soil in which clay platelets may also act as an anionic support material. Trichloroethylene reduction by Pd-catalyzed Fe/C is rapid, and the reaction is unchanged by elution of a suspension of the material through a sand column.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/cm0218108

Cites

23 of 23 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 23 references

Cited by

Metadata

Authors
Schrick, B., Hydutsky, B. W., Blough, J. L., & Mallouk, T. E.
Venue
Chemistry of Materials
Published
2004-04-24
Volume
16
Issue
11
Pages
2187-2193
ISSN
  • 0897-4756 (ISSN-L)
  • 1520-5002
OpenAlex
W2035370607
Cited by
548
References
23
FWCI
10.35
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.