4.6 Article

Cooperative Sorption on Heterogeneous Surfaces

期刊

LANGMUIR
卷 38, 期 43, 页码 13084-13092

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.langmuir.2c01750

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资金

  1. Japan Society for the Promotion of Science [JP19H04206]
  2. Ministry of Education, Culture, Sports, Science, and Technology [JPMXP0112101003]
  3. Elements Strategy Initiative for Catalysts and Batteries [JPMXP1020200308]

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In this paper, we propose a statistical thermodynamic approach to model stepwise isotherms in heterogeneous adsorbents. Our approach, based on rigorous statistical thermodynamic theory, avoids unrealistic assumptions and limitations of previous models. It provides a universal method for modeling different types of adsorbents and offers clear insights into sorption mechanisms.
Heterogeneous adsorbents, those composed of multiple surface and pore types, can result in stepwise isotherms that have been difficult to model. The complexity of these systems has often led to appealing to empirical equations without physical insights, unrealistic assumptions with many parameters, or applicability limited to a particular class of isotherms. Here, we present a statistical thermodynamic approach to model stepwise isotherms, those consisting of either an initial rise followed by a sigmoid or multiple sigmoidal steps, founded on the rigorous statistical thermodynamic theory of sorption. Our only postulates are (i) the finite ranged nature of the interface and (ii) the existence of several different types of microscopic interfacial subsystems that act independently in sorption. These two postulates have led to the superposition scheme of simple surface (i.e., Langmuir type) and cooperative isotherms. Our approach has successfully modeled the adsorption on micro-mesoporous carbons, gate-opening adsorbents, and hydrogen-bonded organic frameworks. In contrast to the previous models that start with a priori assumptions on sorption mechanisms, the advantages of our approach are that it can be applied universally under the above two postulates and that all of the fitting parameters can be interpreted with statistical thermodynamics, leading to clear insights on sorption mechanisms.

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