Kinetic Studies of All-carbon Porous Structure on the Adsorption of Methylene Blue†

doi:10.7503/cjcu20160366

Abstract

Abstract:

The three-dimensional all-carbon porous structures(ACPs) were synthesized via low-temperature calcination which used carbon nanotubes(CNTs) as a skeleton, polymethyl methacrylate(PMMA) as pore former. ACPs were investigated by means of scanning electron microscope(SEM), transmission electron microscope(TEM), X-ray diffraction(XRD), Raman analysis(RAMAN) and specific surface area test(BET). The adsorbent activities of the ACPs were evaluated for the reduction of methylene blue(MB). The results show that adsorption rates fit well with pseudo second order kinetics model. Maximum adsorption capacity of the structure to MB was estimated by extrapolating equilibrium adsorption amounts at different dye concentrations using the Langmuir isotherm. It was found to be about 151.3 mg/g.

Key words: Porous carbon structure, Adsorption, Methylene blue, Kinetics

CLC Number:

O647

TrendMD:

SUO Lulu, LI Shengjuan, LI Yingtao, ZHANG Li, ZHANG Xi. Kinetic Studies of All-carbon Porous Structure on the Adsorption of Methylene Blue^†[J]. Chem. J. Chinese Universities, 2016, 37(11): 2043.

Figures/Tables 10

Fig.1 TGA curves of CNTs, PMMA and CNT/PMMA composite

Fig.2 SEM(A—C), TEM(D) images of all-carbon porous structures(ACPs)and particle size distribution[inset of (A)] of PMMA

Fig.3 XRD patterns(A) and Raman spectra(B) of ACPsa. CNTs; b. ACPs-7; c. ACPs-12; d. ACPs-20.

Fig.4 N2-adsorption isotherms(A) and pore-size distribution(B) of ACPs

Fig.5 Stress-strain curve(A) of ACPs-12 and compressive strength of different samples(B)

Fig.6 Influence of pore size(A) and initial concentration of MB(B) on adsorption

Fig.7 Regression of kinetic plots for the adsorption of methylene blue by ACPS-20 (A) Pseudo-first order model; (B) pseudo-second order model.

Table 1 Kinetic parameters for the adsorption of methylene blue by ACPs-20

c₀/ (mg·L^-1)	q_{e, exp}/ (mg·g^-1)	Pseudo-first order model			Peseudo-second order
c₀/ (mg·L^-1)	q_{e, exp}/ (mg·g^-1)	q_{e, cal}/(mg·g^-1)	k₁/min^-1	R²	q_{e, cal}/(mg·g^-1)	k₂/(g·mg^-1·min^-1)	R²
16	146.5	109.0	8.751×10^-3	0.96077	156.3	1.379×10^-4	0.99948

Fig.8 Langmuir isotherm model(A) and Freundlich isotherm model(B)

Table 2 Fitting results simulated by Langmuir and Freundlich isotherm models

Langmuir isotherm model			Freundlich isotherm model
q_m/(g·mg^-1)	b/(L·mg^-1)	R²	K_f	n	R²
151.3	2.84	0.99421	104.1	7.1	0.91117

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