The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Ultrafine Cellulose Nanofibers as Efficient Adsorbents for Removal of UO22+ in Water
Abstract
Ultrafine cellulose nanofibers, 5–10 nm in diameter, were prepared from oxidation of wood pulp using the (2,2,6,6-tetramethylpiperidin-1-yl)oxyl (TEMPO)/NaBr/NaClO process followed by mechanical treatment. Carboxylate groups on the surface of these nanofibers provide negative charges, which are very effective to adsorb radioactive UO 2 2+ in water, evidenced by static adsorption and high resolution transmission electron microscopy (TEM) measurements. The UO 2 2+ adsorption capability of ultrafine cellulose nanofibers was about 167 mg/g, which is 2–3 times higher than those of typical adsorbents such as montmorillonite, ion imprinted polymer particles, modified silica particles/fibrous membranes, and hydrogels. The high UO 2 2+ adsorption capability can be attributed to the very high surface-to-volume ratio, high surface charge density, and hydrophilicity of ultrafine cellulose nanofibers, which can be used as effective media to remove radioactive metals from radio-nuclear wastewater.
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
Removal of heavy metal ions from wastewaters: A review
Fu, F., & Wang, Q. (2011) · Journal of Environmental Management · doi:10.1016/j.jenvman.2010.11.011 · Cited by 8,703
Saito, T., Nishiyama, Y., Putaux, J.-L., Vignon, M., & Isogai, A. (2006) · Biomacromolecules · doi:10.1021/bm060154s · Cited by 1,796
Cited by
Nasrollahzadeh, M., Sajjadi, M., Iravani, S., & Varma, R. S. (2021) · Carbohydrate Polymers · doi:10.1016/j.carbpol.2020.116986 · Cited by 718
Cellulose Nanomaterials in Water Treatment Technologies
Carpenter, A. W., de Lannoy, C.-F., & Wiesner, M. R. (2015) · Environmental Science & Technology · doi:10.1021/es506351r · Cited by 674
Isolation of Thermally Stable Cellulose Nanocrystals by Phosphoric Acid Hydrolysis
Camarero Espinosa, S., Kuhnt, T., Foster, E. J., & Weder, C. (2013) · Biomacromolecules · doi:10.1021/bm400219u · Cited by 665
Sacui, I. A., Nieuwendaal, R. C., Burnett, D. J., Stranick, S. J., Jorfi, M., Weder, C., Foster, E. J., Olsson, R. T., & Gilman, J. W. (2014) · ACS Applied Materials & Interfaces · doi:10.1021/am500359f · Cited by 647
Wood-based nanotechnologies toward sustainability
Jiang, F., Li, T., Li, Y., Zhang, Y., Gong, A., Dai, J., Hitz, E., Luo, W., & Hu, L. (2018) · Advanced Materials · doi:10.1002/adma.201703453 · Cited by 599
Olivera, S., Muralidhara, H. B., Venkatesh, K., Guna, V. K., Gopalakrishna, K., & Kumar K., Y. (2016) · Carbohydrate Polymers · doi:10.1016/j.carbpol.2016.08.017 · Cited by 447
Nanocellulose as a novel nanostructured adsorbent for environmental remediation: a review
Mahfoudhi, N., & Boufi, S. (2017) · Cellulose · doi:10.1007/s10570-017-1194-0 · Cited by 420
Carbon-based sustainable nanomaterials for water treatment: State-of-art and future perspectives
Nasrollahzadeh, M., Sajjadi, M., Iravani, S., & Varma, R. S. (2021) · Chemosphere · doi:10.1016/j.chemosphere.2020.128005 · Cited by 367
Abdelhamid, H. N., & Mathew, A. P. (2022) · Coordination Chemistry Reviews · doi:10.1016/j.ccr.2021.214263 · Cited by 341
Zhang, X., Huang, Q., Deng, F., Huang, H., Wan, Q., Liu, M., & Wei, Y. (2017) · Applied Materials Today · doi:10.1016/j.apmt.2017.04.001 · Cited by 316
Water purification by polymer nanocomposites: an overview
Pandey, N., Shukla, S. K., & Singh, N. B. (2017) · Nanocomposites · doi:10.1080/20550324.2017.1329983 · Cited by 285
pH-Responsive Cellulose Nanocrystal Gels and Nanocomposites
Way, A. E., Hsu, L., Shanmuganathan, K., Weder, C., & Rowan, S. J. (2012) · ACS Macro Letters · doi:10.1021/mz3003006 · Cited by 283
Cellulose and chitin nanomaterials for capturing silver ions (Ag+) from water via surface adsorption
Liu, P., Sehaqui, H., Tingaut, P., Wichser, A., Oksman, K., & Mathew, A. P. (2014) · Cellulose · doi:10.1007/s10570-013-0139-5 · Cited by 276
Remediation of Heavy Metals and Dyes from Wastewater Using Cellulose-Based Adsorbents
Varghese, A. G., Paul, S. A., & Latha, M. S. (2019) · Environmental Chemistry Letters · doi:10.1007/s10311-018-00843-z · Cited by 231
Metadata
- Authors
- Ma, H., Hsiao, B. S., & Chu, B.
- Venue
- ACS Macro Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2011-12-22
- Volume
- 1
- Issue
- 1
- Pages
- 213-216
- ISSN
- 2161-1653 (ISSN-L)
- OpenAlex
- W2322719178
- Cited by
- 213
- References
- 2
- FWCI
- 4.05
- 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.
