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Cited by 477

The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.

Carboxymethyl cellulose/polyacrylamide composite hydrogel for cascaded treatment/reuse of heavy metal ions in wastewater

Godiya, Chirag B., Cheng, Xiao, Li, Dawei, Chen, Zhan, Lu, Xiaolin·2019·Journal of Hazardous Materials

Abstract

A new bio-based bilateral hydrogel containing carboxymethyl cellulose (CMC) and polyacrylamide (PAM) was prepared for the wastewater remediation. The obtained CMC/PAM composite hydrogel reveals a strong single-ion affinity for copper (CuII), lead (PbII) and cadmium (CdII) ions, as well as multi-ion absorbability with its equilibrium data following the Langmuir adsorption model and its adsorption process abiding by a pseudo-second-order kinetics. To demonstrate its recycled use for the metal ions, the adsorbed CuII ions in the hydrogel were reduced in situ to form homogeneously dispersed Cu nanoparticles (NPs), leading to the Cu NPs-loaded CMC/PAM hydrogel. Reduction of 4-nitrophenol to 4-aminophenol with high efficiency was successfully achieved by this Cu NPs-loaded CMC/PAM hydrogel, verifying the hydrogel's dual functionalities towards the wastewater treatment and catalytic application.

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Crossref · 10.1016/j.jhazmat.2018.09.076

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Metadata

Authors
Godiya, C. B., Cheng, X., Li, D., Chen, Z., & Lu, X.
Venue
Journal of Hazardous Materials
Publisher
Elsevier BV
Published
2019-02
Volume
364
Pages
28-38
ISSN
0304-3894 (ISSN-L)
OpenAlex
W2895163677
Cited by
477
References
42
FWCI
15.70
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Carboxymethyl cellulose/polyacrylamide composite hydrogel for cascaded treatment/reuse of heavy metal ions in wastewater. https://app.cochat.ai/papers/10.1016/j.jhazmat.2018.09.076
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Godiya, C. B., Cheng, X., Li, D., Chen, Z., & Lu, X. (2019). Carboxymethyl cellulose/polyacrylamide composite hydrogel for cascaded treatment/reuse of heavy metal ions in wastewater. Journal of Hazardous Materials. https://doi.org/10.1016/j.jhazmat.2018.09.076

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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.