Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 325

The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.

Adsorption of diclofenac from aqueous solution using UiO-66-type metal-organic frameworks

Zhuang, Shuting, Cheng, Rong, Wang, Jianlong·2019·Chemical Engineering Journal

Abstract

Abstract UiO-66 type metal organic frameworks (MOFs), including UiO-66 and UiO-66-NH2, were synthesized, characterized, and applied for the adsorptive removal of diclofenac (DCF) from aqueous solutions. The effect of synthetic conditions (e.g., different linkers and activation temperatures) and adsorptive conditions (e.g., contact time, initial concentration, temperature, and pH) on DCF removal was examined. UiO-66-NH2 showed a higher adsorption capacity than UiO-66, and the increase of activation temperature can improve the adsorption capacity of UiO-66-NH2 towards DCF. The adsorption of DCF by UiO-66-NH2 was endothermic and almost not affected by pH in the range of 4.8–7.7. The adsorption of DCF onto UiO-66 type MOFs conformed to the pseud second-order kinetic model and the Langmuir isothermal model, with adsorption capacity of 357 mg g−1 for UiO-66 and 555 mg g−1 for UiO-66-NH2. Electrostatic interaction and H-bonding possibly played a vital role for DCF adsorption. The as-prepared UiO-66 type MOFs were efficient adsorbent for DCF removal from aqueous solution.

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 · 10.1016/j.cej.2018.11.150

Cites

37 of 37 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 37 references

Cited by

See all 325

Metadata

Authors
Zhuang, S., Cheng, R., & Wang, J.
Venue
Chemical Engineering Journal
Publisher
Elsevier BV
Published
2019-03
Volume
359
Pages
354-362
ISSN
1385-8947 (ISSN-L)
OpenAlex
W2901701671
Cited by
325
References
37
FWCI
9.87
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: Adsorption of diclofenac from aqueous solution using UiO-66-type metal-organic frameworks. https://app.cochat.ai/papers/10.1016/j.cej.2018.11.150
The paper
Zhuang, S., Cheng, R., & Wang, J. (2019). Adsorption of diclofenac from aqueous solution using UiO-66-type metal-organic frameworks. Chemical Engineering Journal. https://doi.org/10.1016/j.cej.2018.11.150

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.