The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Supercapacitance from Cellulose and Carbon Nanotube Nanocomposite Fibers
Open accessAbstract
Multiwalled carbon nanotube (MWNT)/cellulose composite nanofibers have been prepared by electrospinning a MWNT/cellulose acetate blend solution followed by deacetylation. These composite nanofibers were then used as precursors for carbon nanofibers (CNFs). The effect of nanotubes on the stabilization of the precursor and microstructure of the resultant CNFs were investigated using thermogravimetric analysis, transmission electron microscopy and Raman spectroscopy. It is demonstrated that the incorporated MWNTs reduce the activation energy of the oxidative stabilization of cellulose nanofibers from ∼230 to ∼180 kJ mol(-1). They also increase the crystallite size, structural order, and electrical conductivity of the activated CNFs (ACNFs). The surface area of the ACNFs increased upon addition of nanotubes which protrude from the fiber leading to a rougher surface. The ACNFs were used as the electrodes of a supercapacitor. The electrochemical capacitance of the ACNF derived from pure cellulose nanofibers is demonstrated to be 105 F g(-1) at a current density of 10 A g(-1), which increases to 145 F g(-1) upon the addition of 6% of MWNTs.
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.
Integrity signals
Registry
Cites
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.
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
Wang, R., Wang, P., Yan, X., Lang, J., Peng, C., & Xue, Q. (2012) · ACS Applied Materials & Interfaces · doi:10.1021/am302077c · Cited by 475
Cited by
Lu, X., Wang, C., Favier, F., & Pinna, N. (2017) · Advanced Energy Materials · doi:10.1002/aenm.201601301 · Cited by 429
Du, X., Zhang, Z., Liu, W., & Deng, Y. (2017) · Nano Energy · doi:10.1016/j.nanoen.2017.04.001 · Cited by 426
Thomas, P., Lai, C. W., & Bin Johan, M. R. (2019) · Journal of Analytical and Applied Pyrolysis · doi:10.1016/j.jaap.2019.03.021 · Cited by 207
One-pot synthesis of biochar wrapped Ni/NiO nanobrick composites for supercapacitor applications
Paravannoor, A. (2018) · Journal of Electroanalytical Chemistry · doi:10.1016/j.jelechem.2018.04.060 · Cited by 13
Metadata
- Authors
- Deng, L., Young, R. J., Kinloch, I. A., Abdelkader, A. M., Holmes, S. M., De Haro-Del Rio, D. A., & Eichhorn, S. J.
- Venue
- ACS Applied Materials & Interfaces
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-10-11
- Volume
- 5
- Issue
- 20
- Pages
- 9983-9990
- ISSN
- 1944-8244 (ISSN-L)
- 1944-8252
- OpenAlex
- W2150616212
- Cited by
- 205
- References
- 1
- FWCI
- 5.89
- 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
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.