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Cited by 78Surface Modification and SuperhydrophobicityMetal-Organic Frameworks: Synthesis and ApplicationsAdsorption and biosorption for pollutant removal

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Ni/carbon aerogels derived from water induced self-assembly of Ni-MOF for adsorption and catalytic conversion of oily wastewater

Abstract

Abstract Herein, we reported a facile tactics for the fabrication of Ni nanoparticles embedded carbon (Ni/C) aerogels via water induced self-assembly of Ni-MOFs, and followed by pyrolysis carbonization under nitrogen atmosphere. The water induced assembly mechanism of Ni-MOF hydrogel was investigated by adjusting the ratio of water/ethanol and molecular dynamics simulation. Utilizing the nanofibers with hierarchical porous structures, the Ni/C aerogels with low density (27.9 mg/cm3), superhydrophobic (163.1° of water contact angle), high elasticity (8.94 MPa at 70% of strain) and large specific surface areas (144.6 m2/g) were fabricated, achieving remarkable adsorption efficiency (1903% to 3899%) and cycling stability (15 cycles) for various oil and organic compounds. After oil adsorption, the Ni/C500 aerogels can be recycled by using extra magnetic field owing to the magnetic properties of metal Ni nanoparticles (14.4 nm size). More importantly, the Ni/C500 aerogels can be used as a catalyst to further convert the adsorbed organic compounds into high value-added chemicals in the aqueous phase via catalytic hydrogenation reaction. Specifically, nitrobenzene was completely converted into aniline and selective hydrogenation of furfural transferred to tetrahydrofurfuryl alcohol was achieved. Therefore, the multifunctional Ni/C aerogels could be used to kill two birds with one stone for advanced treatment of oily wastewater.

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Crossref · 10.1016/j.cej.2020.126205

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References 53 · Cited by 78

Research works printed but not linked: 1

  1. L. Peng, J. Zhang, Z. Xue, B. Han, X. Sang, C. Liu, G. Yang, Highly mesoporous metal–organic framework assembled in a switchable solvent, Nat. Commun. 5 (2014) 4465. · DOI · Paper page

Metadata

Authors
Su, Y., Li, Z., Zhou, H., Kang, S., Zhang, Y., Yu, C., & Wang, G.
Affiliations
  • Chinese Academy of Sciences (CN)
  • University of Science and Technology of China (CN)
  • The University of Queensland (AU)
Corresponding author
Wang, Guozhong
Venue
Chemical Engineering Journal
Publisher
Elsevier BV
Published
2020-12
Volume
402
Pages
126205
ISSN
1385-8947 (ISSN-L)
OpenAlex
W3041975161
Cited by
78
References
53
Citations by year
2026: 2 · 2025: 13 · 2024: 11 · 2023: 14 · 2022: 17 · 2021: 19 · 2020: 2
FWCI
3.59
Type
journal article
Language
en
Open access
closed
Licence
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
  • www.elsevier.com/legal/tdmrep-license (tdm)
Locations
Chemical Engineering Journal (publishedVersion)
Funders
  • National Natural Science Foundation of China
  • National Key Research and Development Program of China Stem Cell and Translational Research
Topics
  • Physical Sciences › Materials Science › Surfaces, Coatings and Films › Surface Modification and Superhydrophobicity
  • Physical Sciences › Chemistry › Inorganic Chemistry › Metal-Organic Frameworks: Synthesis and Applications
  • Physical Sciences › Environmental Science › Water Science and Technology › Adsorption and biosorption for pollutant removal
Keywords
nickel metal-organic framework, pyrolysis carbonization, oil adsorption, oily wastewater treatment, magnetic recyclability, catalytic hydrogenation, furfural hydrogenation, tetrahydrofurfuryl alcohol, superhydrophobic aerogel, molecular dynamics simulation

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CoChat. (2026). Citation check: Ni/carbon aerogels derived from water induced self-assembly of Ni-MOF for adsorption and catalytic conversion of oily wastewater. https://app.cochat.ai/papers/10.1016/j.cej.2020.126205
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Su, Y., Li, Z., Zhou, H., Kang, S., Zhang, Y., Yu, C., & Wang, G. (2020). Ni/carbon aerogels derived from water induced self-assembly of Ni-MOF for adsorption and catalytic conversion of oily wastewater. Chemical Engineering Journal. https://doi.org/10.1016/j.cej.2020.126205

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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