Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 184

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

Cyanographene and Graphene Acid: Emerging Derivatives Enabling High-Yield and Selective Functionalization of Graphene

Open access
Bakandritsos, Aristides, Pykal, Martin, Błoński, Piotr, Jakubec, Petr, Chronopoulos, Demetrios D., Poláková, Kateřina, Georgakilas, Vasilios, Čépe, Klára, Tomanec, Ondřej, Ranc, Václav, Bourlinos, Athanasios B., Zbořil, Radek, Otyepka, Michal·2017·ACS Nano

Abstract

Abstract Efficient and selective methods for covalent derivatization of graphene are needed because they enable tuning of graphene’s surface and electronic properties, thus expanding its application potential. However, existing approaches based mainly on chemistry of graphene and graphene oxide achieve only limited level of functionalization due to chemical inertness of the surface and nonselective simultaneous attachment of different functional groups, respectively. Here we present a conceptually different route based on synthesis of cyanographene via the controllable substitution and defluorination of fluorographene. The highly conductive and hydrophilic cyanographene allows exploiting the complex chemistry of −CN groups toward a broad scale of graphene derivatives with very high functionalization degree. The consequent hydrolysis of cyanographene results in graphene acid, a 2D carboxylic acid with pKa of 5.2, showing excellent biocompatibility, conductivity and dispersibility in water and 3D supramolecular assemblies after drying. Further, the carboxyl groups enable simple, tailored and widely accessible 2D chemistry onto graphene, as demonstrated via the covalent conjugation with a diamine, an aminothiol and an aminoalcohol. The developed methodology represents the most controllable, universal and easy to use approach toward a broad set of 2D materials through consequent chemistries on cyanographene and on the prepared carboxy-, amino-, sulphydryl-, and hydroxy- graphenes.

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/acsnano.6b08449

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

Cited by

Metadata

Authors
Bakandritsos, A., Pykal, M., Błoński, P., Jakubec, P., Chronopoulos, D. D., Poláková, K., Georgakilas, V., Čépe, K., Tomanec, O., Ranc, V., Bourlinos, A. B., Zbořil, R., & Otyepka, M.
Venue
ACS Nano
Published
2017-02-20
Volume
11
Issue
3
Pages
2982-2991
ISSN
  • 1936-0851 (ISSN-L)
  • 1936-086X
OpenAlex
W2589080787
Cited by
184
References
1
FWCI
8.13
Type
journal article
Language
en
Open access
hybrid

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: Cyanographene and Graphene Acid: Emerging Derivatives Enabling High-Yield and Selective Functionalization of Graphene. https://app.cochat.ai/papers/10.1021/acsnano.6b08449
The paper
Bakandritsos, A., Pykal, M., Błoński, P., Jakubec, P., Chronopoulos, D. D., Poláková, K., Georgakilas, V., Čépe, K., Tomanec, O., Ranc, V., Bourlinos, A. B., Zbořil, R., & Otyepka, M. (2017). Cyanographene and Graphene Acid: Emerging Derivatives Enabling High-Yield and Selective Functionalization of Graphene. ACS Nano. https://doi.org/10.1021/acsnano.6b08449

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.