Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 191

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Selective and Efficient Removal of Mercury from Aqueous Media with the Highly Flexible Arms of a BioMOF

Open access
Mon, Marta, Lloret, Francesc, Ferrando‐Soria, Jesús, Martí‐Gastaldo, Carlos, Armentano, Donatella, Pardo, Emilio·2016·Angewandte Chemie International Edition

Abstract

A robust and water‐stable metal–organic framework (MOF), featuring hexagonal channels decorated with methionine residues (1), selectively captures toxic species such as CH 3 Hg+ and Hg 2+ from water. 1 exhibits the largest Hg 2+ uptake capacity ever reported for a MOF, decreasing the [Hg 2+] and [CH 3 Hg+] concentrations in potable water from highly hazardous 10 ppm to the much safer values of 6 and 27 ppb, respectively. Just like with biological systems, the high‐performance metal capture also involves a molecular recognition process. Both CH 3 Hg+ and Hg 2+ are efficiently immobilized by specific conformations adopted by the flexible thioether “claws” decorating the pores of 1. This leads to very stable structural conformations reminiscent of those responsible for the biological activity of the enzyme mercury reductase (MR).

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 · 10.1002/anie.201606015

Cites

2 of 2 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 2 references

Cited by

See all 191

Metadata

Authors
Mon, M., Lloret, F., Ferrando‐Soria, J., Martí‐Gastaldo, C., Armentano, D., & Pardo, E.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2016-08-16
Volume
55
Issue
37
Pages
11167-11172
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W2514080813
Cited by
191
References
2
FWCI
8.89
Type
journal article
Language
en
Open access
bronze

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: Selective and Efficient Removal of Mercury from Aqueous Media with the Highly Flexible Arms of a BioMOF. https://app.cochat.ai/papers/10.1002/anie.201606015
The paper
Mon, M., Lloret, F., Ferrando‐Soria, J., Martí‐Gastaldo, C., Armentano, D., & Pardo, E. (2016). Selective and Efficient Removal of Mercury from Aqueous Media with the Highly Flexible Arms of a BioMOF. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201606015

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.