2015
DOI: 10.1016/j.micromeso.2015.04.026
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Uncertainty in pore size distribution derived from adsorption isotherms: I. Classical methods

Abstract: Procedures for propagation of uncertainty in pore size distribution calculation based on classical methods for both micro and mesoporous materials are described. Uncertainty in experimental adsorption isotherm data and uncertainty in temperature are introduced as the main sources for uncertainty in height and position of peaks of PSD determined via classical mesopore size distribution determination method. Uncertainty in PSD derived from classical micropore size distribution methods mainly arises from uncertai… Show more

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Cited by 10 publications
(8 citation statements)
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“…Determining the surface chemistry and PSD (Pore Size Distribution) is part of the characterization of porous materials and the interaction of the solid with different molecules complements its knowledge [22]. To carry out the study of PSD with the data obtained from the gas isotherms at low temperatures, different methods are used which can be classified into two groups: classic methods and those with an integral approach of adsorption [22][23][24]. The classic methods are based on thermodynamic treatments, while the integral approach of adsorption is based on molecular modeling, mainly using the method of density functional theory (DFT) and statistical mechanics [22,25,26].…”
Section: Introductionmentioning
confidence: 99%
“…Determining the surface chemistry and PSD (Pore Size Distribution) is part of the characterization of porous materials and the interaction of the solid with different molecules complements its knowledge [22]. To carry out the study of PSD with the data obtained from the gas isotherms at low temperatures, different methods are used which can be classified into two groups: classic methods and those with an integral approach of adsorption [22][23][24]. The classic methods are based on thermodynamic treatments, while the integral approach of adsorption is based on molecular modeling, mainly using the method of density functional theory (DFT) and statistical mechanics [22,25,26].…”
Section: Introductionmentioning
confidence: 99%
“…This ambiguity is due to disagreements in the validity of calculated specific surface areas and disagreements in the applicability of the models used for PSD reduction from adsorption isotherm data. This latter characterization method typically results from complex models containing several simplifying, model‐dependent assumptions . Several model‐independent techniques including adsorption calorimetry, immersion calorimetry, TEM, XRD, SANS, TPD, and XPS are often used as supporting characterization techniques.…”
Section: Introductionmentioning
confidence: 99%
“…Thisl atter characterization method typically results from complex modelsc ontaining severals implifying, modeldependent assumptions. [2,3] Several model-independent techniques includinga dsorption calorimetry,i mmersion calorime-try,T EM, XRD, SANS, TPD, and XPS [4] are often used as supporting characterization techniques. Of these,i mmersion calorimetry provides the option to evaluateb oth specific surface area and PSD.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, the accuracy of such thermodynamic, macroscopic methods is limited, because of the assumption that the pore fluid has similar thermophysical properties as the bulk fluid (Madani et al 2015).…”
Section: Resultsmentioning
confidence: 99%