Bioinspired Assembly of Carbon Nanotube into Graphene Aerogel with “Cabbagelike” Hierarchical Porous Structure for Highly Efficient Organic Pollutants Cleanup
Publication type: Journal Article
Publication date: 2017-12-29
scimago Q1
wos Q1
SJR: 1.921
CiteScore: 14.5
Impact factor: 8.2
ISSN: 19448244, 19448252
PubMed ID:
29244950
General Materials Science
Abstract
Nowadays, physical absorption has become a feasible method offering an efficient and green route to remove organic pollutants from the industrial wastewater. Inspired by polydopamine (PDA) chemistry, one-dimensional PDA-functionalized multiwalled carbon nanotubes (MWCNT-PDA) were creatively introduced into graphene aerogel framework to synthesize a robust graphene/MWCNT-PDA composite aerogel (GCPCA). The whole forming process needed no additional reducing agents, significantly reducing the contamination emissions to the environment. The GCPCA exhibited outstanding repeatable compressibility, ultralight weight, as well as hydrophobic nature, which were crucial for highly efficient organic pollution absorption. The MWCNTs in moderate amounts can provide the composite aerogels with desirable structure stability and extra specific surface area. Meanwhile, the eventual absorption performance of GCPCAs can be improved by optimizing the microporous structure. In particular, a novel "cabbagelike" hierarchical porous structure was obtained as the prefreezing temperature was decreased to -80 °C. The miniaturization of pore size around the periphery of GCPCA enhanced the capillary flow in aerogel channels, and the super-absorption capacity for organic solvents was up to 501 times (chloroform) its own mass. Besides, the GCPCAs exhibited excellent reusable performance in absorption-squeezing, absorption-combustion, and absorption-distillation cycles according to the characteristic of different organic solvents. Because of the viable synthesis method, the resulting GCPCAs with unique performance possess broad and important application prospects, such as oil pollution cleanup and treatment of chemical industrial wastewater.
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120
Total citations:
120
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(5%)
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GOST
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Zhan W. et al. Bioinspired Assembly of Carbon Nanotube into Graphene Aerogel with “Cabbagelike” Hierarchical Porous Structure for Highly Efficient Organic Pollutants Cleanup // ACS applied materials & interfaces. 2017. Vol. 10. No. 1. pp. 1093-1103.
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Zhan W., Yu S., Gao L., Wang F., FU X., SUI G., Yang X. Bioinspired Assembly of Carbon Nanotube into Graphene Aerogel with “Cabbagelike” Hierarchical Porous Structure for Highly Efficient Organic Pollutants Cleanup // ACS applied materials & interfaces. 2017. Vol. 10. No. 1. pp. 1093-1103.
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RIS
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TY - JOUR
DO - 10.1021/acsami.7b15322
UR - https://doi.org/10.1021/acsami.7b15322
TI - Bioinspired Assembly of Carbon Nanotube into Graphene Aerogel with “Cabbagelike” Hierarchical Porous Structure for Highly Efficient Organic Pollutants Cleanup
T2 - ACS applied materials & interfaces
AU - Zhan, Wenwei
AU - Yu, Siruo
AU - Gao, Liang
AU - Wang, Feng
AU - FU, Xue
AU - SUI, GANG
AU - Yang, Xiaoping
PY - 2017
DA - 2017/12/29
PB - American Chemical Society (ACS)
SP - 1093-1103
IS - 1
VL - 10
PMID - 29244950
SN - 1944-8244
SN - 1944-8252
ER -
Cite this
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@article{2017_Zhan,
author = {Wenwei Zhan and Siruo Yu and Liang Gao and Feng Wang and Xue FU and GANG SUI and Xiaoping Yang},
title = {Bioinspired Assembly of Carbon Nanotube into Graphene Aerogel with “Cabbagelike” Hierarchical Porous Structure for Highly Efficient Organic Pollutants Cleanup},
journal = {ACS applied materials & interfaces},
year = {2017},
volume = {10},
publisher = {American Chemical Society (ACS)},
month = {dec},
url = {https://doi.org/10.1021/acsami.7b15322},
number = {1},
pages = {1093--1103},
doi = {10.1021/acsami.7b15322}
}
Cite this
MLA
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Zhan, Wenwei, et al. “Bioinspired Assembly of Carbon Nanotube into Graphene Aerogel with “Cabbagelike” Hierarchical Porous Structure for Highly Efficient Organic Pollutants Cleanup.” ACS applied materials & interfaces, vol. 10, no. 1, Dec. 2017, pp. 1093-1103. https://doi.org/10.1021/acsami.7b15322.