Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 421

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Granular Bamboo‐Derived Activated Carbon for High CO2 Adsorption: The Dominant Role of Narrow Micropores

Wei, Haoran, Deng, Shubo, Hu, Bingyin, Chen, Zhenhe, Wang, Bin, Huang, Jun, Yu, Gang·2012·ChemSusChem

Abstract

Cost‐effective biomass‐derived activated carbons with a high CO 2 adsorption capacity are attractive for carbon capture. Bamboo was found to be a suitable precursor for activated carbon preparation through KOH activation. The bamboo size in the range of 10–200 mesh had little effect on CO 2 adsorption, whereas the KOH/C mass ratio and activation temperature had a significant impact on CO 2 adsorption. The bamboo‐derived activated carbon had a high adsorption capacity and excellent selectivity for CO 2, and also the adsorption process was highly reversible. The adsorbed amount of CO 2 on the granular activated carbon was up to 7.0 mmol g−1 at 273 K and 1 bar, which was higher than almost all carbon materials. The pore characteristics of activated carbons responsible for high CO 2 adsorption were fully investigated. Based on the analysis of narrow micropore size distribution of several activated carbons prepared under different conditions, a more accurate micropore range contributing to CO 2 adsorption was proposed. The volume of micropores in the range of 0.33–0.82 nm had a good linear relationship with CO 2 adsorption at 273 K and 1 bar, and the narrow micropores of about 0.55 nm produced the major contribution, which could be used to evaluate CO 2 adsorption on activated carbons.

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/cssc.201200570

Cites

6 of 6 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

Cited by

See all 421

Metadata

Authors
Wei, H., Deng, S., Hu, B., Chen, Z., Wang, B., Huang, J., & Yu, G.
Venue
ChemSusChem
Publisher
Wiley
Published
2012-11-06
Volume
5
Issue
12
Pages
2354-2360
ISSN
  • 1864-5631 (ISSN-L)
  • 1864-564X
OpenAlex
W2006876915
Cited by
421
References
6
FWCI
26.95
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.