Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 308

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Size- and morphology-controlled NH2-MIL-53(Al) prepared in DMF–water mixed solvents

Cheng, Xinquan, Zhang, Anfeng, Hou, Keke, Liu, Min, Wang, Yingxia, Song, Chunshan, Zhang, Guoliang, Guo, Xinwen·2013·Dalton Transactions

Abstract

We present here a simple solvothermal method to fabricate metal-organic framework NH2-MIL-53(Al) crystals with controllable size and morphology just by altering the ratio of water in the DMF-water mixed solvent system without the addition of any surfactants or capping agents. With increasing the volume ratio of water in the mixed solvents, a series of NH2-MIL-53(Al) crystals with different sizes and morphologies were synthesized. The average size of the smallest crystal is 76 ± 20 nm, which provides us a simple and environmentally friendly way to prepare nanoscale MOFs. The largest BET surface area of these samples is 1882 m(2) g(-1) that is mainly contributed by its micropore surface area, and its corresponding micropore volume is 0.83 cm(3) g(-1), which have greatly extended its application in the fields of gas adsorption and postsynthetic modification. All these samples were characterized by SEM, XRD, N2 adsorption/desorption, TGA and FT-IR. Then a mechanism for the impact of the water ratio on the crystal size and morphology is presented and discussed.

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 · 10.1039/c3dt51322j

Cites

1 of 1 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 1 references

Cited by

See all 308

Metadata

Authors
Cheng, X., Zhang, A., Hou, K., Liu, M., Wang, Y., Song, C., Zhang, G., & Guo, X.
Venue
Dalton Transactions
Published
2013
Volume
42
Issue
37
Pages
13698
ISSN
  • 1477-9226 (ISSN-L)
  • 1477-9234
OpenAlex
W2168788420
Cited by
308
References
1
FWCI
5.50
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: Size- and morphology-controlled NH2-MIL-53(Al) prepared in DMF–water mixed solvents. https://app.cochat.ai/papers/10.1039/c3dt51322j
The paper
Cheng, X., Zhang, A., Hou, K., Liu, M., Wang, Y., Song, C., Zhang, G., & Guo, X. (2013). Size- and morphology-controlled NH2-MIL-53(Al) prepared in DMF–water mixed solvents. Dalton Transactions. https://doi.org/10.1039/c3dt51322j

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.