2024-03-28T20:19:20Zhttp://uvadoc.uva.es/oai/requestoai:uvadoc.uva.es:10324/219012022-01-10T13:44:23Zcom_10324_1157com_10324_931com_10324_894col_10324_1298
Prediction of single salt rejection in nanofiltration membranes by independent measurements
Silva, Verónica
Montalvillo, Miguel
Carmona del Río, Francisco Javier
Palacio Martínez, Laura
Hernández Giménez, Antonio
Prádanos del Pico, Pedro Lourdes
Impedance spectroscopy
Nanofiltration
Membrane potential
Transport numbers
Dielectric properties
Producción Científica
In this work amethod is proposed to predict salt rejection by nanofiltration. The procedure starts fromthe steric,
electric and dielectric exclusion model with charge (and permitivity) depending on the concentration along the
pore, SEDE-VCh, for membrane characterization, and substitutes all fitting parameters by values obtained by
independent methods. These parameters are the relative permittivity inside the pores and the two constants
of the Freundlich isothermfor the volumetric charge density,which can be obtained by impedance spectroscopy
techniques. Moreover, the pore size and shape and the active layer thickness are required to complement the
model. The pore size was obtained by using a neutral solute rejection test and the active layer thickness was
estimated by SEM. Therefore, the model also requires pore shape as input. AFM measurements suggest the
assumption of a slit shape for the pores.
A Desal-HL membrane has been structurally, electrically and functionally characterized. These data allowed
the testing of the predictive model that was subsequently demonstrated; as far as results are good enough
considering the complexity of the mechanisms involved. Consequently, it seems clear that once the model
parameters have been obtained by independent methods, it can be used as a predictive tool.
2016-12-22T08:58:50Z
2016-12-22T08:58:50Z
2016
info:eu-repo/semantics/article
Desalination 2016, vol. 382, p. 1–12
0011-9164
http://uvadoc.uva.es/handle/10324/21901
10.1016/j.desal.2015.12.012
eng
http://www.sciencedirect.com/science/article/pii/S0011916415301478
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/
Attribution-NonCommercial-NoDerivatives 4.0 International
Elsevier
SI