Cai Q, Buts A, Biggs M J, Seaton N A
Institute for Materials and Processes, University of Edinburgh, Kenneth Denbigh Building, Mayfield Road, Edinburgh EH9 3JL, United Kingdom.
Langmuir. 2007 Jul 31;23(16):8430-40. doi: 10.1021/la7007057. Epub 2007 Jun 29.
The pore size distribution (PSD) and the pore-network connectivity of a porous material determine its properties in applications such as gas storage, adsorptive separations, and catalysis. Methods for the characterization of the pore structure of porous carbons are widely used, but the relationship between the structural parameters measured and the real structure of the material is not yet clear. We have evaluated two widely used and powerful characterization methods based on adsorption measurements by applying the methods to a model carbon which captures the essential characteristics of real carbons but (unlike a real material) has a structure that is completely known. We used three species (CH4, CF4, and SF6) as adsorptives and analyzed the results using an intersecting capillaries model (ICM) which was modeled using a combination of Monte Carlo simulation and percolation theory to obtain the PSD and the pore-network connectivity. There was broad agreement between the PSDs measured using the ICM and the geometric PSD of the model carbon, as well as some systematic differences which are interpreted in terms of the pore structure of the carbon. The measured PSD and connectivity are shown to be able to predict adsorption in the model carbon, supporting the use of the ICM to characterize real porous carbons.
多孔材料的孔径分布(PSD)和孔网络连通性决定了其在气体储存、吸附分离和催化等应用中的性能。表征多孔碳孔结构的方法被广泛使用,但所测量的结构参数与材料实际结构之间的关系尚不清楚。我们通过将两种基于吸附测量的广泛使用且强大的表征方法应用于一种模型碳来进行评估,该模型碳捕捉了真实碳的基本特征,但(与真实材料不同)具有完全已知的结构。我们使用三种物质(CH4、CF4和SF6)作为吸附剂,并使用相交毛细管模型(ICM)分析结果,该模型通过蒙特卡罗模拟和渗流理论相结合进行建模,以获得PSD和孔网络连通性。使用ICM测量的PSD与模型碳的几何PSD之间存在广泛的一致性,以及一些根据碳的孔结构进行解释的系统差异。所测量的PSD和连通性能够预测模型碳中的吸附,支持使用ICM来表征真实的多孔碳。