The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Superior adsorption capacity of functionalised straw adsorbent for dyes and heavy-metal ions
Abstract
Dyes and heavy-metal ions are common pollutants in printing and dyeing wastewater, and are thus attracting considerable attention. Herein, an eco-friendly straw-based adsorbent, WS-CA-AM, was prepared by grafting with acrylamide (AM) and citric acid (CA) groups to remove representative dyes and heavy metals from aqueous solution. The adsorption capacities of WS-CA-AM for methyl orange (MO) and methylene blue (MB) were 3053.48 and 120.84 mg/g, which were 54 and 3 times those of unmodified straw, respectively. Moreover, the adsorption capacities for MB, MO, Cr2O72- and Cu2+ in the mixed system increased by 210%, 133%, 196% and 151%, respectively, compared with those in the single system. The significant increase in adsorption capacity can be attributed to the collaborative effect through electrostatic attraction. The functional groups and adsorbed pollutants all served as adsorption sites for pollutants. These results indicate that WS-CA-AM is a potential applicant for the removal of dyes and heavy-metal ions from mixed aqueous solution.
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
Pseudo-second order model for sorption processes
Ho, Y. S., & McKay, G. (1999) · Process Biochemistry · doi:10.1016/s0032-9592(98)00112-5 · Cited by 17,497
Insights into the modeling of adsorption isotherm systems
Foo, K. Y., & Hameed, B. H. (2010) · Chemical Engineering Journal · doi:10.1016/j.cej.2009.09.013 · Cited by 8,479
Non-conventional low-cost adsorbents for dye removal: A review
CRINI, G. (2006) · Bioresource Technology · doi:10.1016/j.biortech.2005.05.001 · Cited by 4,508
Liu, M., Zeng, G., Wang, K., Wan, Q., Tao, L., Zhang, X., & Wei, Y. (2016) · Nanoscale · doi:10.1039/c5nr09078d · Cited by 561
Zhao, F., Repo, E., Yin, D., Meng, Y., Jafari, S., & Sillanpää, M. (2015) · Environmental Science & Technology · doi:10.1021/acs.est.5b02227 · Cited by 508
Zhang, X., Huang, Q., Liu, M., Tian, J., Zeng, G., Li, Z., Wang, K., Zhang, Q., Wan, Q., Deng, F., et al. (2015) · Applied Surface Science · doi:10.1016/j.apsusc.2015.03.081 · Cited by 329
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
Li, H., Cao, X., Zhang, C., Yu, Q., Zhao, Z., Niu, X., Sun, X., Liu, Y., Ma, L., & Li, Z. (2017) · RSC Advances · doi:10.1039/c7ra01647f · Cited by 282
Competitive adsorption of dyes and heavy metals on zeolitic structures
Hernández-Montoya, V., Pérez-Cruz, M. A., Mendoza-Castillo, D. I., Moreno-Virgen, M. R., & Bonilla-Petriciolet, A. (2013) · Journal of Environmental Management · doi:10.1016/j.jenvman.2012.12.010 · Cited by 256
Huang, Q., Liu, M., Mao, L., Xu, D., Zeng, G., Huang, H., Jiang, R., Deng, F., Zhang, X., & Wei, Y. (2017) · Journal of Colloid and Interface Science · doi:10.1016/j.jcis.2017.03.102 · Cited by 254
Cited by
Isotherm models for adsorption of heavy metals from water - a review
Chen, X., Hossain, M. F., Duan, C., Lu, J., Tsang, Y. F., Islam, M. S., & Zhou, Y. (2022) · Chemosphere · doi:10.1016/j.chemosphere.2022.135545 · Cited by 623
Self-citationRemoval of heavy metals from aqueous solution using carbon-based adsorbents: A review
Duan, C., Ma, T., Wang, J., & Zhou, Y. (2020) · Journal of Water Process Engineering · doi:10.1016/j.jwpe.2020.101339 · Cited by 533
Self-citationAkhtar, M., Sarfraz, M., Ahmad, M., Raza, N., & Zhang, L. (2025) · Desalination and Water Treatment · doi:10.1016/j.dwt.2024.100914 · Cited by 94
Metadata
- Authors
- Liu, Q., Li, Y., Chen, H., Lu, J., Yu, G., Möslang, M., & Zhou, Y.
- Venue
- Journal of Hazardous Materials
- Publisher
- Elsevier BV
- Published
- 2020-01
- Volume
- 382
- Pages
- 121040
- ISSN
- 0304-3894 (ISSN-L)
- OpenAlex
- W2969573755
- Cited by
- 404
- References
- 45
- FWCI
- 19.11
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Superior adsorption capacity of functionalised straw adsorbent for dyes and heavy-metal ions. https://app.cochat.ai/papers/10.1016/j.jhazmat.2019.121040
- The paper
- Liu, Q., Li, Y., Chen, H., Lu, J., Yu, G., Möslang, M., & Zhou, Y. (2020). Superior adsorption capacity of functionalised straw adsorbent for dyes and heavy-metal ions. Journal of Hazardous Materials. https://doi.org/10.1016/j.jhazmat.2019.121040
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.