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. 2021 Mar 4;6(10):7073-7085.
doi: 10.1021/acsomega.1c00044. eCollection 2021 Mar 16.

Copper Nanoparticle Loading and F Doping of Graphene Aerogel Enhance Its Adsorption of Aqueous Perfluorooctanoic Acid

Longfei Liu  1 , Naiju Che  1 , Shengsen Wang  2 , Yanli Liu  1 , Chengliang Li  1
Affiliations

Copper Nanoparticle Loading and F Doping of Graphene Aerogel Enhance Its Adsorption of Aqueous Perfluorooctanoic Acid

Longfei Liu et al. ACS Omega. .

Abstract

Perfluorooctanoic acid (PFOA) persists in the environment for a long time due to its stable physical and chemical properties, and it is harmful to the environment and biological system. In order to effectively remove PFOA from aqueous solution, Cu nanoparticles and fluorine-modified graphene aerogel (Cu/F-rGA) were fabricated by the microbubble template method. Compared with unmodified aerogels (rGA), the adsorption rate of PFOA on Cu/F-rGA was enhanced 2.68-fold. These significant improvements were assumed to benefit from the ligand exchange reaction and hydrophobic and F-F interactions. The regeneration of Cu/F-rGA maintained 73.26% with ethanol as the desorption solvent after 10 times adsorption-desorption. The fitting results of the statistical physics model showed that PFOA tended to be parallel to the adsorption site at low temperature and perpendicular at high temperature. The number of PFOA molecules connected to each adsorption site was 0.53 to 1.41, and the number of adsorption layers of PFOA on the Cu/F-rGA was between 1.63 and 2.51. Compared with the response surface methodology and artificial neural network, an adaptive neuro-fuzzy inference system had more accurate analysis and prediction results. These results provide an effective and alternative strategy to remove PFOA from aqueous solution with environment-friendly consumption.

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Conflict of interest statement

The authors declare no competing financial interest.

Figures

Figure 1
Figure 1
Characterization of Cu/F-rGA. (a) SEM, (b) nitrogen adsorption–desorption isotherms of Cu/F-rGA (inset: the corresponding pore size distribution curves), (c) XRD patterns, and (d) FTIR spectra before and after the adsorption.
Figure 2
Figure 2
Adsorption kinetic data of PFOA on GO, rGA, F-rGA, Cu-rGA, and Cu/F-rGA were fitted by (a) pseudo-first-order model and pseudo-second-order models, (b) intraparticle diffusion model, and (c) Boyd model.
Figure 3
Figure 3
Adsorption isotherm data of PFOA on (a) GO, rGA, F-rGA, Cu-rGA, and Cu/F-rGA, and (b) normalized by the specific surface area.
Figure 4
Figure 4
Adsorption isotherm data were fitted by (a) Langmuir, Freundlich, and model 3 obtained at 25 °C and (b) model 3 at different temperatures.
Figure 5
Figure 5
Removal rate of PFOA on Cu/F-rGA. The experimental values were compared with the predicted response values of (a) RSM, (b) ANN, and (c) ANFIS. (d) Comparison of predicted response values of the RSM, ANN, and ANFIS.
Figure 6
Figure 6
XPS (a, b) C 1s and (c, d) Cu 2p3/2 spectra of Cu/F-rGA before and after PFOA adsorption, respectively.
See this image and copyright information in PMC

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