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AuthorBergaoui, Manel
AuthorKhalfaoui, Mohamed
AuthorVillarroel-Rocha, Jhonny
AuthorBarrera, Deicy
AuthorAl-Muhtaseb, Shaheen
AuthorEnciso, Eduardo
AuthorSapag, Karim
AuthorBen Lamine, Abdelmottaleb
Available date2021-03-31T08:18:07Z
Publication Date2016
Publication NameMicroporous and Mesoporous Materials
ResourceScopus
ISSN13871811
URIhttp://dx.doi.org/10.1016/j.micromeso.2015.11.040
URIhttp://hdl.handle.net/10576/18060
AbstractNew statistical mechanics approach for pore size distribution applied in wide the relative pressure range is proposed. The new proposed model was applied to nitrogen adsorption-desorption isotherms at 77 K onto five functionalized polystyrene latices. Results showed that the proposed model can reproduce all results found by traditional methods such as NLDFT, BJH and VBS where some of them can be applied only for a specific range of pore size. A segmentation procedure is adopted and it is shown that the corresponding algorithm can be successfully applied for determining pore size distributions over a wide range of pore size. When this method is applied an isotherms Type II and III (materials with larger mesopores and/or macropores) gives additional information that is not obtained with the other methods. The obtained results showed that the copolymerization plays an important role in the porosity and the specific surface area, whereas, the high polydispersity index, PDI, can reduce the porosity. The samples studied within the present work present small and large mesopores and even macropores as it is suggested by the new proposed model, and part of this porosity could be related to the interparticle and also to the intraparticle porosity.
Languageen
PublisherElsevier B.V.
SubjectLatex particles
Nitrogen adsorption-desorption isotherms
Pore size distribution
Sorption modeling
Statistical mechanics approach
TitleNew insights on estimating pore size distribution of latex particles: Statistical mechanics approach and modeling
TypeArticle
Pagination360-371
Volume Number224
dc.accessType Abstract Only


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