DOI:
10.1039/C5RA03066H
(Paper)
RSC Adv., 2015,
5, 41631-41638
Mesoporous silicas: improving the adsorption efficiency of phenolic compounds by the removal of amino group from functionalized silicas
Received
17th February 2015
, Accepted 15th April 2015
First published on 15th April 2015
Abstract
In this study, dimethyloctylamine-functionalized mesoporous silicas (MCM-41 and MCM-48 samples), which are designed to be anionic and cationic species sorbents, have been successfully deaminated by ethanolic extraction to obtain materials that would be able to remove neutral phenolic pollutants, namely, 4-nitrophenol and 2,4,6-trichlorophenol, from aqueous effluents. Solvent extraction was further applied to amine-functionalized MCM-41 and MCM-48 mesoporous materials with different chain lengths (N,N-dimethyldodecylamine, dodecylamine and hexadecylamine). The hexagonal mesoporous structure of MCM-41 and the three-dimensional cubic mesoporous structure of MCM-48 remain intact after dimethyloctylamine amination and template removal. The N2 adsorption–desorption isotherms of the different mesoporous materials are of type IV according to the IUPAC classification. The alcoholic extraction of the dimethyloctylamine moiety led to the formation of materials with a wide open pore structure, which are particularly suitable for the rapid adsorption of hydrophobic molecules. Isotherm data at ambient temperature were well fitted with the Langmuir model. Solvent extraction was further applied to the amine-functionalized MCM-41 and MCM-48 mesoporous materials with different chain lengths (N,N-dimethyldodecylamine, dodecylamine and hexadecylamine) and a statistical analysis of the sorption capacities vs. structural properties was performed. ANOVA Kruskal–Wallis tests showed that the adsorption of pollutants was not dependent on the type of mesoporous silicas (MCM-41 vs. MCM-48), rather it was dependent on the phenolic structure (PNP vs. TCP). A (weak linear) correlation between the pore size and sorption capacities could be established.
1. Introduction
The application of mesoporous silicas in adsorption and catalysis studies is the object of extensive research since the last few decades.1–5 These materials are characterized by high surface areas, uniform and controllable pore sizes and the periodic order of their pore packing. The functionalization of the pore channels provides new opportunities for fine-tuning the properties of these materials, and amines are one of the most prominent chemical functionalities in this field.4
The adsorptions of ionic species (both cationic and anionic)4,6–13 have been demonstrated with excellent sensitivities and high capacities using amine-functionalized mesoporous silicas with wide hydrophilic channels. Unfortunately, the adsorption of organic (uncharged) compounds is decreased due to this functionalization. In this case, to enhance the adsorption of organic pollutants, Sayari14 suggested the removal of the amine template to create hydrophobic surfaces and open-pore structures. Calcination,15,16 oxidation17–20 or solvent extraction14,15,21–23 have been suggested for their efficiency.
The focus of the present study was template removal by alcoholic extraction or calcination from dimethyloctylamine-MCM-41 and dimethyloctylamine-MCM-48, the two ordered mesoporous silicas from the Mobil M41S family of materials.24–26 Solvent extraction was further applied to amine-functionalized MCM-41 and MCM-48 mesoporous materials with different chain lengths (N,N-dimethyldodecylamine, dodecylamine and hexadecylamine).10,11 Phenol and its derivatives are considered as high priority and hazardous pollutants because of their high toxicity, carcinogenicity and resistance to biodegradation and also due their widespread use as reflected by their inclusion in the list of high volume production chemicals.27 Different mesoporous materials were evaluated for the removal of p-nitrophenol (PNP) and 2,4,6-trichlorophenol (TCP), which were chosen as phenolic compounds.
2. Experimental procedures
2.1. Materials and synthesis
All the chemicals used in the experiments were of analytical purity or highest purity available and used without any further treatment. MCM-41 and MCM-48 mesoporous silicas were prepared using cetyltrimethylammonium bromide, fumed silica for MCM-41 and TEOS for MCM-48 according to previously described methods.10,11,28,29 The solutions were hydrothermally treated and the solids were dried in air. The functionalization was achieved post-synthesis. Mesoporous silicas (5 g) were added to an emulsion of N,N dimethyloctylamine (7 g) in distilled water (78 g) with magnetic stirring (30 min), and the mixture was sealed and heated in a Teflon autoclave for 72 h at 25 °C. The product was recovered by vacuum filtration, washed several times with Milli-Q water, and dried to obtain materials A (DMOA-41A and DMOA-48A). Solvent extraction was based on the work of Sayari14 and ethanol was used as the extracting solvent. The experiments were carried out in a Soxhlet apparatus and materials B were obtained (Table 1). Materials C were obtained by calcination at 550 °C for 6 hours.
Table 1 Mesoporous materials used in this studya
Material |
Mesoporous silica |
Amine |
Treatment |
The ending letter in the material name indicates: (A) aminated mesoporous silicas, (B) alcoholic extraction of the amine moieties, and (C) calcination of the aminated mesoporous silica (A). |
MCM-41, MCM-48 |
|
|
|
DMOA-41A |
MCM-41 |
Dimethyloctylamine |
— |
DMOA-41B |
MCM-41 |
Dimethyloctylamine |
Solvent extraction |
DMOA-41C |
MCM-41 |
Dimethyloctylamine |
Calcination |
DMOA-48A |
MCM-48 |
Dimethyloctylamine |
— |
DMOA-48B |
MCM-48 |
Dimethyloctylamine |
Solvent extraction |
DMOA-48C |
MCM-48 |
Dimethyloctylamine |
Calcination |
DMDDA-41B |
MCM-41 |
Dimethyldodecylamine |
Solvent extraction |
DDA-41B |
MCM-41 |
Dodecylamine |
Solvent extraction |
HDA-41B |
MCM-41 |
Hexadecylamine |
Solvent extraction |
DMDDA-48B |
MCM-48 |
Dimethyldodecylamine |
Solvent extraction |
DDA-48B |
MCM-48 |
Dodecylamine |
Solvent extraction |
HDA-48B |
MCM-48 |
Hexadecylamine |
Solvent extraction |
2.2. Characterization
Thermogravimetric curves were obtained on a TGA 2950 high-resolution thermogravimetric analyzer NETZSCH Iris TG 209C. FTIR spectra were recorded on a Bruker Vector 22 FTIR spectrometer in the 4000–400 cm−1 region using the KBr method. Nitrogen physisorption was measured using a Micromeritics ASAP 2000 and ASAP 2010 at 77 K. Specific surface areas were calculated from the Brunauer–Emmett–Teller (BET) equation and pore size distribution was obtained using the Barrett–Joyner–Halenda method by the analysis of the desorption branch. The small-angle X-ray diffraction (XRD) patterns of the samples were collected with a Bruker AXS D-8 X-ray powder diffractometer using Cu Kα radiation (λ = 1.5418 Å). Zeta potential measurements were conducted in triplicate using a Zetaphoremeter IV (CAD instruments).
2.3. Adsorption studies
Stock solutions of nitrophenol (Sigma-Aldrich, 1000 mg L−1) and 2,4,6-trichlorophenol (Sigma-Aldrich, 750 mg L−1) were prepared in Milli-Q water. Adsorption kinetics and isotherms were performed at least in triplicate on an orbital shaker (200 rpm). Sorbent (100 mg) was thoroughly mixed with various concentrations of phenolic compounds (from 10 to 1000 mg L−1 for 4-NP and from 10 to 750 mg L−1 for 2,4,6-TCP) to obtain a final volume of 100 mL. The samples were filtered with a syringe filter (0.20 μm). Trichlorophenol (pKa = 6.21) and nitrophenol (pKa = 7.15) concentrations were determined using a Varian Cary UV 50 Probe spectrophotometer at 286 and 318 nm, respectively. Experimental curves were fitted using non-linear regression method and Statistica 6.0 software; their suitability was assessed on the basis of R2.
3. Results and discussion
3.1. Dimethyloctylamine mesoporous silicas: characterization, ethanolic extraction vs. calcination
FTIR peaks at 2925 and 2855 cm−1 were attributed to the CH2 stretching vibrations originating from the amino template (Fig. 1A). These peaks disappeared after calcination and less than 10% of DMOA (estimated by thin layer chromatography) was observed after ethanolic treatment. Further analyses were conducted using thermogravimetric analyses (Fig. 1B). Three major mass losses vs. temperature were observed (Table 2). A first loss between 25 °C and 150 °C was assigned to adsorbed water and solvent molecules. The template loss started at nearly 150 °C and occurred in several steps, which may be related to different interactions between the organic templates. Above 600 °C, samples exhibited a weight loss due to the dehydroxylation of the silicate networks.
 |
| Fig. 1 Dimethyloctylamine mesoporous MCM-48 silica (DMOA-48A), mesoporous silica obtained after alcoholic extraction of the amine moiety in DMOA-48A (DMOA-48B) and calcined DMOA-48A (DMOA-48C). (A) FTIR spectra. Circles show the stretching vibrations originating from the amino template. (B) Thermogravimetric curves. (C) Low-angle XRD diffractograms. | |
Table 2 Thermogravimetric curves: mass loss vs. temperature
Sample |
Weight loss (%) 25–150 °C |
Weight loss (%) 150–450 °C |
Total weight loss (%) |
DMOA-41A |
12 |
64 |
76 |
DMOA-41B |
25 |
21 |
46 |
DMOA-41C |
7 |
3 |
10 |
DMOA-48A |
17 |
59 |
76 |
DMOA-48B |
25 |
29 |
54 |
DMOA-48C |
7 |
2 |
9 |
The X-ray diffraction patterns of the mesoporous materials were compared. In the pattern of MCM-41, a dominant (100) peak reflection is attributed to the 2D-hexagonal symmetry (p6mm).24 The dimethyloctylamine grafting to MCM-41 caused a considerable decrease in the XRD intensity. The peaks (211), (220), (321), (420) and (332) were associated with Ia3d cubic symmetry in the pattern of MCM-48 (Fig. 1C). The highly efficient mesostructures of the MCM-41 and MCM-48 mesoporous silicas were not affected by the treatment. XRD patterns showed several scattering peaks in the low 2-theta region corresponding to the 〈100〉 and 〈211 〉 Bragg reflections for MCM-41 and MCM-48, further confirming that the hexagonal mesoporous structure of MCM-41 and the three-dimensional cubic mesoporous structure of MCM-48 remain intact after amination and template removal. A shift of the unit cell parameter was observed after solvent-template removal, while this parameter decreased after calcination for MCM-41. In contrast, a0 increased with calcination and decreased with solvent-extraction for MCM-48. The N2 adsorption–desorption isotherms of the mesoporous materials are of type IV according to the IUPAC classification. In accordance with the XRD patterns presented above, isotherm curves were similar after modifications of the MCM-41 and MCM-48 mesoporous silicas. Structural and textural parameters are summarized in Table 3. The nonexpanded calcined (MCM-41) parent sample exhibited a reversible adsorption–desorption isotherm with the characteristic nitrogen condensation evaporation step at a relative pressure of 0.3 and exhibited a H1 hysteresis loop, which is a characteristic of periodic mesoporous materials.24,25 Low pore volume, low surface areas and broad PSD were observed for aminated materials (DMOA-41A and 48A) containing both CTMA and DMOA surfactants. The alcoholic extraction of the amine moiety (DMOA-41B and 48B), which contained about 50 wt% of cetyltrimethylammonium (CTMA) surfactant, leads to the formation of materials with a wide-open pore structure, which are particularly suitable for the rapid adsorption of hydrophobic molecules. As expected, the calcined material (DMOA-41C and 48C) exhibited highly enlarged pores with relatively narrow size distributions. It is well-known that functionalization decreases the surface area and pore volume because the terminal organic groups are tethered inside the pores of the mesoporous silicas. The removal of the template by both ethanolic extraction (materials B) and calcination (materials C) sharply increased the surface area and pore volume.
Table 3 Textural and structural parameters
Material |
Surface area (m2 g−1) |
Pore size Dp (nm) |
Pore volume (cm3 g−1) |
2θ |
d(100) (nm) |
d(211) (nm) |
a0 (nm) |
From ref. 10. The materials used in the adsorption studies are underlined. |
DMOA-41A |
219 |
1.39 |
0.31 |
2.13 |
4.14 |
— |
4.78 |
DMOA-41B |
538 |
4.96 |
1.14 |
2.04 |
4.32 |
— |
4.98 |
DMOA-41C |
1284 |
9.66 |
1.59 |
2.19 |
4.05 |
— |
4.67 |
DMOA-48A |
176 |
1.28 |
0.23 |
2.42 |
— |
3.65 |
8.94 |
DMOA-48B |
458 |
4.36 |
0.91 |
2.50 |
— |
3.53 |
8.64 |
DMOA-48C |
1027 |
9.17 |
1.26 |
2.36 |
— |
3.74 |
9.17 |
DDA-41Ba |
439 |
4.85 |
0.92 |
|
|
|
|
DMDDA-41Ba |
373 |
5.84 |
0.97 |
|
|
|
|
HDA-41B |
284 |
5.31 |
0.98 |
|
|
|
|
DDA-48Ba |
433 |
4.46 |
0.85 |
|
|
|
|
DMDDA-48Ba |
381 |
4.71 |
0.82 |
|
|
|
|
HDA-48B |
316 |
5.64 |
0.93 |
|
|
|
|
Furthermore, the average pore volume observed for MCM-48 materials are slightly lower than that of MCM-41 materials. Ethanolic extraction and/or calcination modified the surface charge properties of the materials. Isoelectric points (IEP) shifted to higher values after amination, which provided an indirect evidence of the existence of cationic groups in the structure. IEP point decreased with ethanolic extraction and calcination (Table 4). It has been suggested that the removal of the template by solvent-extraction better preserves the crystallinity and pore structure of the material, whereas calcination increases the condensation degree of the silica and leads to a shrinkage of the MCM framework.30
Table 4 Isoelectric pointsa
|
DMOA-41A |
DMOA-41B |
DMOA-41C |
DDA-41B |
DMDDA-41B |
HDA-41B |
The mesoporous silicas are positively charged when pH < pHiep and negatively charged when pH > pHiep. The materials used in the adsorption studies are underlined. |
pHiep |
8.5 |
5.3 |
3.7 |
3.9 |
3.8 |
5.1 |
|
DMOA-48A |
DMOA-48B |
DMOA-48C |
DDA-48B |
DMDDA-48B |
HDA-48B |
pHiep |
9.1 |
4.3 |
3.5 |
4.5 |
3.9 |
4.9 |
3.2. Adsorption of p-nitrophenol and 2,4,6-trichlorophenol
The ethanolic extraction of the DMOA amine moiety significantly improved the sorption capacities (Table 5) toward phenolic compounds, while calcination led to weak sorption properties. More than 70% of the phenols were removed by materials B (conditions are given in Table 5), while less than 30% of heavy metals were removed by materials B in the same conditions (these results could be compared with those of previous studies10,11 on (aminated) mesoporous silicas). Materials C obtained by calcination were consequently not studied further for the adsorption of phenolic pollutants. Inumaru31–33 suggested that both hydrophilic and hydrophobic groups of adsorbates interact with hydroxyl groups and organic moieties on the pore surface of organic–inorganic silica, respectively. Phenolic compounds have both hydrophobic phenyl groups and hydrophilic hydroxyl groups. Materials B after ethanolic extraction had hydrophobic methyl and hydrophilic hydroxyl groups, and phenolic compounds were expected to have two types of adsorbent–adsorbate interactions. One interaction is hydrogen bonding between the hydrophilic hydroxyl groups of MCM-41 and MCM-48B and adsorbates. The other is π–π interaction between the benzene rings and organic moieties of MCM-41B and MCM-48B. The initial amount of adsorbed 4-NP or 2,4,6-TCP increased gradually up to 50 min and slowly reached the maximum concentration within 60 min. Pseudo-second order model (eqn (1)) fitted well with the kinetic data obtained for material B (Table 6), while a first-order model failed to reproduce the data. |
 | (1) |
Table 5 Sorption capacitiesa
qe (mg g−1) |
MCM-41 |
DMOA-41A |
DMOA-41B |
DMOA-41C |
[PNP] = [TCP] = 100 mg L−1, m = 100 mg, pH = 5.5 (TCP) and 6.0 (PNP), ambient temperature, contact time = 24 hours, shaking rate = 200 rpm. |
PNP |
48 |
41 |
83 |
31 |
TCP |
33 |
25 |
70 |
19 |
qe (mg g−1) |
MCM-48 |
DMOA-48A |
DMOA-48B |
DMOA-48C |
PNP |
44 |
39 |
81 |
28 |
TCP |
29 |
27 |
69 |
16 |
Table 6 Kinetic parameters
Material |
Pollutant |
Second-order |
Weber–Morris |
k2 (g min−1 mg−1) |
qe (mg g−1) |
R2 |
kid (mg g−1 min−1/2) |
L (mg g−1) |
R2 |
DMOA-41B |
4-NP |
3.7 × 10−3 |
88 |
0.995 |
4.0 |
40 |
0.963 |
DMOA-48B |
1.5 × 10−3 |
82 |
0.998 |
3.0 |
28 |
0.948 |
DMOA-41B |
2,4,6-TCP |
4 × 10−3 |
79 |
0.988 |
4.7 |
47 |
0.943 |
DMOA-48B |
1.2 × 10−3 |
74 |
0.991 |
3.9 |
35 |
0.951 |
The possibility of intraparticle diffusion (Table 6) was explored by the Weber–Morris intraparticle diffusion model (eqn (2))
where
kd (mg g
−1 min
−0.5) is the intraparticle diffusion rate constant and
L is the intercept representative of the boundary layer thickness. The first sharp portion of the Weber–Morris plots (not shown) indicates that the sorption of NP and TCP is controlled by external mass transfer, and the plots do not pass through the origin or have intercept (
Table 6) characteristics of the boundary layer thickness.
The equilibrium adsorption isotherm is the basic requirement in the design of adsorption systems. Isotherm data at ambient temperature (Fig. 2) for DMOA-41B and DMOA-48B were well fitted with the Langmuir model (eqn (3)) based on assumptions that the monolayer coverage of adsorbate occurs over homogeneous sites and that a saturation point is reached where no further adsorption can act.
|
 | (3) |
where
qe is the adsorption capacity of the adsorbent (mg g
−1),
Ce is the equilibrium concentration of adsorbate in solution (mg L
−1),
qmax is the maximum monolayer adsorption capacity (mg g
−1), and
kL is the adsorption equilibrium constant related to the affinity of the binding sites and energy of adsorption (L mg
−1).
Table 7 summarizes the results.
 |
| Fig. 2 Adsorption isotherms. The solid lines represent the fits with the Langmuir isotherms. [NP] = 10–1000 mg L−1, [TCP] = 10–750 mg L−1, msorbent = 100 mg, pH = 5.5 (TCP) and 6.0 (NP), ambient temperature, contact time = 24 hours, shaking rate = 200 rpm. Experimental points were obtained respectively from four replicates for 4-nitrophenol and three replicates for 2,4,6-trichlorophenol. (A) DMOA-41B. (B) DDA-41B. (C) DMDDA-41B. (D) HDA-41B. | |
Table 7 Langmuir parameters
4-NP |
DMOA-41B |
DDA-41B |
DMDDA-41B |
HDA-41B |
qmax (mg g−1) |
201 ± 4 |
222 ± 5 |
240 ± 4 |
247 ± 5 |
kL (L mg−1) |
(2.55 ± 0.23) × 10−2 |
(2.30 ± 0.20) × 10−2 |
(4.84 ± 0.42) × 10−2 |
(5.78 ± 0.57) × 10−2 |
R2 |
0.992 |
0.994 |
0.994 |
0.992 |
|
DMOA-48B |
DDA-48B |
DMDDA-48B |
HDA-48B |
qmax (mg g−1) |
189 ± 4 |
210 ± 5 |
225 ± 5 |
241 ± 4 |
kL (L mg−1) |
(2.07 ± 0.16) × 10−2 |
(1.57 ± 0.13) × 10−2 |
(4.02 ± 0.38) × 10−2 |
(5.22 ± 0.36) × 10−2 |
R2 |
0.994 |
0.994 |
0.992 |
0.996 |
|
Carbonaceous materials |
Modified clay |
Zeolite |
Synthetic resins |
qmax (mg g−1) |
179,34 313,35 333,36 526,37 268,42 376–542 49 |
436 41 |
330,43 55–91,50 19 51 |
11–21,46 16,47 931 48 |
2,4,6-TCP |
DMOA-41B |
DDA-41B |
DMDDA-41B |
HDA-41B |
qmax (mg g−1) |
156 ± 3 |
174 ± 3 |
180 ± 3 |
179 ± 4 |
kL (L mg−1) |
(4.97 ± 0.39) × 10−2 |
(5.62 ± 0.33) × 10−2 |
(6.98 ± 0.40) × 10−2 |
(9.30 ± 0.82) × 10−2 |
R2 |
0.992 |
0.996 |
0.996 |
0.991 |
|
DMOA-48B |
DDA-48B |
DMDDA-48B |
HDA-48B |
qmax (mg g−1) |
143 ± 2 |
151 ± 2 |
155 ± 3 |
162 ± 4 |
kL (L mg−1) |
(7.83 ± 0.70) × 10−2 |
(15.3 ± 1.46) × 10−2 |
(10.7 ± 1.02) × 10−2 |
162 ± 4 |
R2 |
0.990 |
0.990 |
0.990 |
0.976 |
|
Carbonaceous materials |
Modified clay |
Zeolite |
Other mesoporous silicas |
qmax (mg g−1) |
479,35 476,38 794,39 247 40 |
123 45 |
1.5 51 |
500 44 |
Solvent extraction was further applied to amine-functionalized MCM-41 and MCM-48 mesoporous materials with different chain lengths (N,N-dimethyldodecylamine, dodecylamine and hexadecylamine). Fig. 2 shows 4-NP and 2,4,6-TCP adsorption isotherms on materials B. The adsorption closely follows a Langmuir isotherm (Fig. 2) in accordance with the results obtained for dimethyloctylamine mesoporous silicas, and the Langmuir parameters are given in Table 7. The sorption performance of the materials B was compared to other sorbents34–51 (Table 7).
A statistical analysis of the sorption capacities (Table 7) vs. textural and structural properties of materials B (Tables 3 and 4) was performed. The normality of variable distribution was checked by applying the Shapiro–Wilk statistical test and in all the cases, the distribution was far from normal. Non-parametric tests were applied, and ANOVA Kruskal–Wallis tests showed that pollutant adsorption was not dependent on the type of mesoporous silica (MCM-41 vs. MCM-48) (Fig. 3A). In contrast, the adsorption of pollutant was dependent on the phenolic structure (PNP vs. TCP – Fig. 3B). Data were analysed using factor analysis (Fig. 3C) to highlight the relation between the elements. Only the factors with loading greater than 0.7 were considered important. Two factors described 69% of the total variability contained in the raw data set. The eigen values were 2.29 (F1) and 1.82 (F2), and a statistical estimate revealed a (weak) correlation between the pore size and qmax (F1). Plotting qmax vs. pore size (Fig. 3D) confirms the weak relationship and a linear function could be established.
 |
| Fig. 3 Statistical analysis of the sorption capacities vs. structural properties of the mesoporous silicas. (A) qmax vs. mesoporous silicas structure (p = 0.34, Z = 0.94). (B) qmax vs. pollutant structure (p < 0.01, Z = 3.36). (C) qmax vs. pore size (n = 16). (D) Factor analysis (n = 42, 6 variables). | |
4. Conclusion
The experimental analysis indicate that the removal of the amine moiety by ethanolic extraction from aminated-mesoporous silicas leads to the formation of materials that are able to remove phenolic pollutants from aqueous media, which were 4-nitrophenol and 2,4,6-trichlorophenol in this study. The calcination of aminated-mesoporous silicas failed to improve the sorption capacities. From the present and previous results, the evaluation of the partial removal of the amine moiety from modified mesoporous silicas would be interesting, which could offer the simultaneous removal of charged (both cationic and anionic) and neutral organic pollutants from aqueous media.
Acknowledgements
A. Benhamou gratefully acknowledges support from collaborative Project no. 87/ENS/FR/2007-2009 between Limoges University and Oran Science and Technology University.
References
- A. Sayari and S. Hamoudi, Chem. Mater., 2001, 13, 3151–3168 CrossRef CAS.
- M. Hartmann, Chem. Mater., 2005, 17, 4577–4593 CrossRef CAS.
- F. Hoffmann, M. Cornelius, J. Morell and M. Fröba, Angew. Chem., Int. Ed., 2006, 45, 3216–3251 CrossRef CAS PubMed.
- T. Yokoi, Y. Kubota and T. Tatsumi, Appl. Catal., A, 2012, 451, 14–37 CrossRef PubMed.
- S. H. Wu, C.-Y. Mou and H.-P. Lin, Chem. Soc. Rev., 2013, 42, 3862–3875 RSC.
- H. Yoshitake, T. Yokoi and T. Tatsumi, Chem. Mater., 2002, 14, 4603–4610 CrossRef CAS.
- H. Yoshitake, T. Yokoi and T. Tatsumi, Chem. Mater., 2003, 15, 1713–1721 CrossRef CAS.
- H. Yoshitake, E. Koiso, H. Horie and H. Yoshimura, Microporous Mesoporous Mater., 2005, 85, 183–194 CrossRef CAS PubMed.
- J. Aguado, J. M. Arsuaga, A. Arencibia, M. Lindo and V. Gascon, J. Hazard. Mater., 2009, 163, 213–221 CrossRef CAS PubMed.
- A. Benhamou, M. Baudu, Z. Derriche and J. P. Basly, J. Hazard. Mater., 2009, 171, 1001–1008 CrossRef CAS PubMed.
- A. Benhamou, J. P. Basly, M. Baudu, Z. Derriche and R. Hamacha, J. Colloid Interface Sci., 2013, 404, 135–139 CrossRef CAS PubMed.
- L. F. Koong, K. F. Lam, J. Barford and G. MacKay, J. Colloid Interface Sci., 2013, 395, 230–240 CrossRef CAS PubMed.
- I. Sierra and D. Perez-Quintanilla, Chem. Soc. Rev., 2013, 42, 3792–3807 RSC.
- A. Sayari, S. Hamoudi and Y. Yang, Chem. Mater., 2005, 17, 212–216 CrossRef CAS.
- P. T. Tanev and T. J. Pinnavaia, Chem. Mater., 1996, 8, 2069–2079 CrossRef.
- R. Kumar, H. T. Chen, J. L. V. Escoto, V. S. Y. Lin and M. Pruski, Chem. Mater., 2006, 18, 4319–4327 CrossRef CAS.
- E. Meretei, J. Halász, D. Meshn, Z. Kónya, T. I. Korányi, J. B. Nagy and I. Kiricsi, J. Mol. Struct., 2003, 651–653, 323–330 CrossRef CAS.
- S. Hitz and R. Prins, J. Catal., 1997, 168, 194–206 CrossRef CAS.
- J. Kecht and T. Bein, Microporous Mesoporous Mater., 2008, 116, 123–130 CrossRef CAS PubMed.
- J. Goworek, A. Kierys and R. Kusak, Microporous Mesoporous Mater., 2007, 98, 242–248 CrossRef CAS PubMed.
- M. Nassi, E. Sarti, L. Pasti, A. Martucci, N. Marchetti, A. Cavazzini, F. Di Renzo and A. Galarneau, J. Porous Mater., 2014, 21, 423–432 CAS.
- W. A. Gomes Jr, L. A. M. Carsodo, A. R. E. Gonzaga, L. G. Aguiar and H. M. C. Andrade, Mater. Chem. Phys., 2005, 93, 133–137 CrossRef PubMed.
- H. Ji, Y. Fan, W. Jin, C. Chen and N. Xu, J. Non-Cryst. Solids, 2008, 354, 2010–2016 CrossRef CAS PubMed.
- J. S. Beck, J. C. Vartuli, W. J. Roth, M. E. Leonowicz, C. T. Kresge, K. D. Schmitt, C. T. W. C. T. W. Chu, D. H. Olson, E. W. Sheppard, S. B. McCullen, J. B. Higgins and J. L. Schlenker, J. Am. Chem. Soc., 1992, 114, 10834–10843 CrossRef CAS.
- C. T. Kresge, M. E. Leonowicz, W. J. Roth, J. C. Vartuli and J. S. Beck, Nature, 1992, 359, 710–712 CrossRef CAS.
- J. C. Vartuli, K. D. Schmitt, C. T. Kresge, W. J. Roth, M. E. Leonowicz, S. B. McCullen, S. D. Hellring, J. S. Beck and J. L. Schlenker, Chem. Mater., 1994, 6, 2317–2326 CrossRef CAS.
- OECD, 2008, The 2004 organisation for economic co-operation and development (OECD) list of high production volume chemicals, http://www.oecd.org/dataoecd/55/38/33883530.pdf.
- A. Sayari and Y. Yang, J. Phys. Chem. B, 2000, 104, 4835–4839 CrossRef CAS.
- S. Wang, D. Wu, Y. Sun and B. Zhong, Mater. Res. Bull., 2001, 36, 1717–1720 CrossRef CAS.
- A. Jomekian, S. A. A. Mansoori, B. Bazoyaar and A. Moradian, J. Porous Mater., 2012, 19, 979–988 CrossRef CAS; R. Vathyam, E. Wondimu, S. Das, C. Zhang, S. Hayes, Z. Tao and T. Asefa, J. Phys. Chem. C, 2011, 115, 13135–13150 Search PubMed.
- K. Inumaru, Y. Inoue, S. Kakii, T. Nakano and S. Yamanaka, Chem. Lett., 2003, 32, 1110–1111 CrossRef CAS.
- K. Inumaru, Y. Inoue, S. Kakii, T. Nakano and S. Yamanaka, Phys. Chem. Chem. Phys., 2004, 6, 3133–3139 RSC.
- K. Inumaru, T. Nakano and S. Yamanaka, Microporous Mesoporous Mater., 2006, 95, 279–285 CrossRef CAS PubMed.
- B. Petrova, T. Budinova, B. Tsyntsarski, V. Kochkodan, Z. Shravro and N. Petrov, Chem. Eng. J., 2010, 165, 258–264 CrossRef CAS PubMed.
- Q. S. Liu, T. Zheng, P. Wang, J. P. Jiang and N. Li, Chem. Eng. J., 2010, 157, 348–356 CrossRef CAS PubMed.
- B. C. Pan, W. Du, W. Zhang, X. Zhang, Q. Zhang, B. Pan, L. Lv, Q. Zhang and J. Chen, Environ. Sci. Technol., 2007, 41, 5057–5062 CrossRef CAS.
- M. Ahmaruzzaman and D. K. Sharma, J. Colloid Interface Sci., 2005, 287, 14–24 CrossRef CAS PubMed.
- E. Gonzalez-Serranoa, T. Corderoa, J. Rodriguez-Mirasola, L. Cotorueloa and J. J. Rodriguez, Water Res., 2004, 38, 3043–3050 CrossRef PubMed.
- A. Dabrowski, P. Podkoscielny and O. V. Marijuk, Chemosphere, 2005, 58, 1049–1070 CrossRef CAS PubMed.
- I. A. W. Tan, A. L. Ahmad and B. H. Hameed, J. Hazard. Mater., 2009, 164, 473–482 CrossRef CAS PubMed.
- Q. Zhoua, H. P. Hea, J. X. Zhua, W. Shen, R. L. Frost and P. Yuan, J. Hazard. Mater., 2008, 154, 1025–1032 CrossRef PubMed.
- B. Zhanga, F. Li, T. Wub, D. Sunb and Y. Li, Colloids Surf., A, 2015, 464, 78–88 CrossRef PubMed.
- C. Muniz-Lopez, J. Duconge and R. Roque-Malherbe, J. Colloid Interface Sci., 2009, 329, 11–16 CrossRef CAS PubMed.
- M. Anbia and M. Lasghari, Chem. Eng. J., 2009, 168, 555–560 CrossRef PubMed.
- B. H. Hameed, Colloids Surf., A, 2007, 307, 45–52 CrossRef CAS PubMed.
- A. Ersoz, A. Denitzli, I. Sener, A. Atilir, S. Diltemiz and R. Say, Sep. Purif. Technol., 2004, 38, 173–179 CrossRef CAS PubMed.
- A. Denitzli, G. Ozkan and M. Ucar, Sep. Purif. Technol., 2001, 24, 255–262 CrossRef.
- Y. Ku and K. C. Lee, J. Hazard. Mater., 2000, B80, 59–68 CrossRef.
- F. C. Wu and R. L. Tseng, J. Colloid Interface Sci., 2006, 294, 21–30 CrossRef CAS PubMed.
- B. Shah, R. Tailor and A. Shah, Environ. Sci. Pollut. Res., 2012, 19, 1171–1186 CrossRef CAS PubMed.
- M. M. Motsa, J. M. Twala, T. A. M. Msagati and B. B. Mamba, Water, Air, Soil Pollut., 2012, 223, 1555–1559 CrossRef CAS.
|
This journal is © The Royal Society of Chemistry 2015 |
Click here to see how this site uses Cookies. View our privacy policy here.