Suppr超能文献

多孔硅石用于去除气相间和水相间的污染物。

Silica Monolith for the Removal of Pollutants from Gas and Aqueous Phases.

机构信息

Department of Sciences and Technological Innovation and Interdisciplinary Nano-SiSTeMI Centre, University of Eastern Piedmont A. Avogadro, Viale T. Michel 11, 15121 Alessandria, Italy.

Interdisciplinary Nano-SiSTeMI Centre, University of Eastern Piedmont A. Avogadro, Viale T. Michel 11, 15121 Alessandria, Italy.

出版信息

Molecules. 2021 Mar 1;26(5):1316. doi: 10.3390/molecules26051316.

Abstract

This study focused on the application of mesoporous silica monoliths for the removal of organic pollutants. The physico-chemical textural and surface properties of the monoliths were investigated. The homogeneity of the textural properties along the entire length of the monoliths was assessed, as well as the reproducibility of the synthesis method. The adsorption properties of the monoliths for gaseous toluene, as a model of Volatile Organic Compounds (VOCs), were evaluated and compared to those of a reference meso-structured silica powder (MCM-41) of commercial origin. Silica monoliths adsorbed comparable amounts of toluene with respect to MCM-41, with better performances at low pressure. Finally, considering their potential application in water phase, the adsorption properties of monoliths toward Rhodamine B, selected as a model molecule of water soluble pollutants, were studied together with their stability in water. After 24 h of contact, the silica monoliths were able to adsorb up to the 70% of 1.5 × 10 mM Rhodamine B in water solution.

摘要

本研究聚焦于介孔硅质整体材料在去除有机污染物方面的应用。考察了整体材料的物理化学结构特性和表面性质。评估了整体材料沿长度方向的结构特性的均一性以及合成方法的重现性。评估了整体材料对作为挥发性有机化合物 (VOCs) 模型的气态甲苯的吸附性能,并与商业来源的参考介孔结构硅质粉末 (MCM-41) 进行了比较。相对于 MCM-41,硅质整体材料吸附了相当量的甲苯,在低压下表现出更好的性能。最后,考虑到它们在水相中的潜在应用,研究了整体材料对罗丹明 B 的吸附性能,罗丹明 B 被选为水溶性污染物的模型分子,同时还研究了它们在水中的稳定性。接触 24 小时后,硅质整体材料能够在水溶液中吸附高达 1.5 × 10 mM 罗丹明 B 的 70%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f984/7957575/95e5b28de104/molecules-26-01316-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验