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Ordered mesoporous materials as adsorbents

Authors: Zhangxiong, Wu; Dongyuan, Zhao;

Ordered mesoporous materials as adsorbents

Abstract

Environmental pollution, energy consumption and biotechnology have induced more and more public concerns. Problems imposed by these issues will circulate in the 21st century. Adsorption-based processes may lead to one of the most efficient routes for removal of toxic substances, energy storage and bio-applications. The fundamental and great challenge is developing highly efficient adsorbents. In this regard, ordered mesoporous materials (OMMs) may be the answer in the future. They possess intrinsic high specific surface areas, regular and tunable pore sizes, large pore volumes, as well as stable and interconnected frameworks with active pore surfaces for modification or functionalization. Such features meet the requirements as excellent adsorbents, not only providing huge interface and large space capable of accommodating capacious guest species, but also enabling the possibility of specific binding, enrichment and separation. As a result, these materials have been extensively studied as advanced adsorbents and hundreds of papers have been published since the millennium. In this Highlight, we will mainly summarize and outlook the development in pollution control, gas storage and bioadsorption by using OMMs as adsorbents.

Related Organizations
Keywords

Humans, Adsorption, Gases, Porosity, Water Pollutants, Chemical

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
589
Top 1%
Top 1%
Top 0.1%
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