| Literature DB >> 35519950 |
Huiping Zhou1, Shaomin Gao1, Wenwen Zhang2, Zhaohui An1, Donghui Chen1,2.
Abstract
Amino-functionalized spherical mesoporous silica (ASMS) materials were successfully prepared via a convenient treatment method by using 3-aminopropyltrimethoxysilane (APTES), which was used in different concentrations in the process of spherical mesoporous silica (SMS) synthesis. The adsorption performances of ASMS were evaluated by taking toluene as a simulated pollutant and the adsorption mechanism was also studied. A variety of characterization methods were adopted, including scanning electron microscopy, small-angle X-ray diffraction and Fourier-transform infrared spectroscopy techniques and nitrogen adsorption-desorption analyses, which led to a better understanding of the performance of the materials. It was found that the SMS has a good adaptability due to the amino functionality, the pore structure still remains in the modified samples even when the mass ratio of APTES/TEOS is up to 3, and the chemical properties of the material surface are significantly improved by the amino functionality. The results show that the capacities of the toluene adsorption follow the order of SMS < ASMS-1 < ASMS-3 < ASMS-2. ASMS-2 has the highest toluene adsorption capacity (98.1 mg g-1) and the saturated adsorbent can be easily regenerated by thermal desorption, which has a stable adsorption capacity after 4 adsorption cycles. These experimental data indicated that amino functionalization could affect both the pore structure and surface chemical properties of SMS, making ASMS a promising material for the reduction of industrial volatile organic compound emissions in air treatment. This journal is © The Royal Society of Chemistry.Entities:
Year: 2019 PMID: 35519950 PMCID: PMC9061090 DOI: 10.1039/c8ra08605b
Source DB: PubMed Journal: RSC Adv ISSN: 2046-2069 Impact factor: 4.036
Fig. 1Schematic diagram for the dynamic adsorption of toluene.
Fig. 2SEM images of (a) SMS (×1500), (b) ASMS-1 (×3000), (c) ASMS-2 (×3000), and (d) ASMS-3 (×3000).
Elemental analysis of SMS and ASMS
| Sample | Element content (wt%) | Experimental N (mmol g−1) | |||
|---|---|---|---|---|---|
| Si | N | O | H | ||
| SMS | 47.7 | 0.9 | 49.4 | 2 | — |
| ASMS-1 | 38.3 | 12.4 | 42.2 | 7.1 | 8.9 |
| ASMS-2 | 36.6 | 15.2 | 39.3 | 8.9 | 10.9 |
| ASMS-3 | 34.5 | 17.1 | 35.7 | 12.7 | 12.2 |
Fig. 3X-ray diffraction patterns in the small-angle range of SMS and ASMS-2.
Fig. 4FTIR spectra of (a) SMS, (b) ASMS-1, (c) ASMS-2, and (d) ASMS-3.
Fig. 5(a) Nitrogen adsorption–desorption isotherms and (b) corresponding pore size distributions of the ASMS samples.
Textural parameters of amino-functionalized spherical mesoporous silica (ASMS)
| Sample | Textural properties | ||||
|---|---|---|---|---|---|
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| SMS | 914.7488 | 726.38 | 0.43539 | 0.7295 | 3.1899 |
| ASMS-1 | 817.6741 | 732.89 | 0.42137 | 0.5679 | 2.7781 |
| ASMS-2 | 459.916 | 342.5 | 0.1873 | 0.3395 | 2.9527 |
| ASMS-3 | 458.6152 | 366.59 | 0.21727 | 0.3433 | 2.9942 |
The specific surface areas were calculated using the BET method.
Micropore surface area from the t-plot meod.
Micropore volume determined by the t-plot method.
Total pore volume at P/P0 ∼ 0.99.
Average pore diameter.
Fig. 6Yoon–Nelson model of toluene adsorption on ASMS adsorbents.
Dynamic adsorption capacity (q) and Yoon–Nelson equation parameters for toluene adsorption on ASMS adsorbents
| Sample | Adsorption capacity | Yoon–Nelson parameters | |||
|---|---|---|---|---|---|
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| SMS | 0.586 | 53.853 | 30 | 0.325 | 0.998 |
| ASMS-1 | 0.912 | 83.770 | 43 | 0.237 | 0.995 |
| ASMS-2 | 1.068 | 98.131 | 57 | 0.158 | 0.998 |
| ASMS-3 | 0.977 | 89.754 | 53 | 0.204 | 0.995 |
Fig. 7Cycles of toluene adsorption–desorption on ASMS-2.
Yoon and Nelson equation parameters for various runs
| Cycle | Adsorption capacity | Yoon–Nelson parameters | |||
|---|---|---|---|---|---|
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| Run 1 | 1.055 | 96.934 | 57 | 0.159 | 0.998 |
| Run 2 | 1.048 | 96.336 | 56 | 0.157 | 0.997 |
| Run 3 | 1.035 | 95.139 | 49 | 0.164 | 0.999 |
| Run 4 | 1.042 | 95.737 | 47 | 0.166 | 0.998 |