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用于提高CO吸附性能的双壳介孔中空二氧化硅纳米材料的合成与特性

Synthesis and Characteristics of Double-Shell Mesoporous Hollow Silica Nanomaterials to Improve CO Adsorption Performance.

作者信息

Lee Jong-Tak, Bae Jae-Young

机构信息

Department of Chemistry, Keimyung University, Daegu 42601, Korea.

出版信息

Micromachines (Basel). 2021 Nov 19;12(11):1424. doi: 10.3390/mi12111424.

DOI:10.3390/mi12111424
PMID:34832835
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8621649/
Abstract

To improve the adsorption performance of carbon dioxide, which is considered the main culprit of greenhouse gases, the specific surface area and high pore volume of the adsorbing material should be considered. For a porous material, the performance of carbon dioxide adsorption is determined by the amine groups supporting capacity; the larger the pore volume, the greater the capacity to support the amine groups. In this study, a double-shell mesoporous hollow silica nanomaterial with excellent pore volume and therefore increased amine support capacity was synthesized. A core-shell structure capable of having a hollow shape was synthesized using polystyrene as a core material, and a double-shell mesoporous shape was synthesized by sequentially using two types of surfactants. The synthesized material was subjected to a sintering process of 600 degrees, and the N sorption analysis confirmed a specific surface area of 690 m/g and a pore volume of 1.012 cm/g. Thereafter, the amine compound was impregnated into the silica nanomaterial, and then, a carbon dioxide adsorption experiment was conducted, which confirmed that compared to the mesoporous hollow silica nanomaterial synthesized as a single shell, the adsorption performance was improved by about 1.36 times.

摘要

为提高被视为温室气体主要元凶的二氧化碳的吸附性能,应考虑吸附材料的比表面积和高孔隙率。对于多孔材料,二氧化碳吸附性能取决于胺基承载能力;孔隙率越大,胺基承载能力越强。在本研究中,合成了一种具有优异孔隙率从而提高胺基承载能力的双壳介孔中空二氧化硅纳米材料。以聚苯乙烯为核材料合成了具有中空形状的核壳结构,并通过依次使用两种表面活性剂合成了双壳介孔形状。将合成材料进行600度的烧结处理,N吸附分析证实其比表面积为690 m/g,孔隙率为1.012 cm/g。此后,将胺化合物浸渍到二氧化硅纳米材料中,然后进行二氧化碳吸附实验,结果证实与单壳合成的介孔中空二氧化硅纳米材料相比,吸附性能提高了约1.36倍。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3cc/8621649/39877ad83f2f/micromachines-12-01424-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3cc/8621649/d0330e143f07/micromachines-12-01424-sch001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3cc/8621649/f563d41024d5/micromachines-12-01424-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3cc/8621649/0aab2c151b68/micromachines-12-01424-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3cc/8621649/7e4fa06d2618/micromachines-12-01424-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3cc/8621649/1491b80c2340/micromachines-12-01424-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3cc/8621649/39877ad83f2f/micromachines-12-01424-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3cc/8621649/d0330e143f07/micromachines-12-01424-sch001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3cc/8621649/f563d41024d5/micromachines-12-01424-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3cc/8621649/0aab2c151b68/micromachines-12-01424-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3cc/8621649/7e4fa06d2618/micromachines-12-01424-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3cc/8621649/1491b80c2340/micromachines-12-01424-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3cc/8621649/39877ad83f2f/micromachines-12-01424-g005.jpg

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