TY - JOUR
T1 - Ion partitioning and permeation in charged low-T* membranes
AU - Freger, Viatcheslav
N1 - Funding Information:
The financial support by Israel Science Foundation (grant #1152/11) and by a grant 2016627 of the United States-Israel Binational Science Foundation (BSF), Jerusalem, Israel, jointly with the United States National Science Foundation (NSF) is acknowledged. The author thanks Ora Kedem, Andriy Yaroshchuk, Anthony Szymczyk, and Aleksandr Noy for numerous insightful discussions.
Funding Information:
The financial support by Israel Science Foundation (grant # 1152/11 ) and by a grant 2016627 of the United States-Israel Binational Science Foundation (BSF), Jerusalem, Israel , jointly with the United States National Science Foundation (NSF) is acknowledged. The author thanks Ora Kedem, Andriy Yaroshchuk, Anthony Szymczyk, and Aleksandr Noy for numerous insightful discussions.
Publisher Copyright:
© 2020 Elsevier B.V.
PY - 2020/3/1
Y1 - 2020/3/1
N2 - Understanding ion transport in membrane materials is key to engineering and development of desalination and water purification technologies as well as electro-membrane applications. To date, modeling of ion transport has mainly relied on mean-field approaches, originally intended for weak inter-ionic interactions, i.e., high reduced temperature T*. This condition is violated in many membranes, which could explain disagreement between predicted trends and experiments. The paper highlights observed discrepancies and develops a new approach based on the concept of ion association, more adequate in the low-T⁎ limit. The new model addresses ion binding and mobility consistently within the same physical picture, applied to different types of single and mixed salts. The resulting relations show a significantly weaker connection between ion partitioning and permeability than the standard ones. Estimates using primitive model (PM) of ions in a homogeneous dielectric suggest that non-PM mechanisms, originating from the molecular structure of the ion-solvating environment, might enhance ion association in membranes. PM analysis also predicts that ion solvation and association must be rigidly related, yet non-PM effects may decouple these phenomena and allow a crossover to non-trivial regimes consistent with experiments and simulations. Despite the crude nature of the presented approach and some questions remaining open, it appears to explain most available experimental data and presents a step towards predictive modeling of ion-selective membrane separations in water-, environment- and energy-related applications.
AB - Understanding ion transport in membrane materials is key to engineering and development of desalination and water purification technologies as well as electro-membrane applications. To date, modeling of ion transport has mainly relied on mean-field approaches, originally intended for weak inter-ionic interactions, i.e., high reduced temperature T*. This condition is violated in many membranes, which could explain disagreement between predicted trends and experiments. The paper highlights observed discrepancies and develops a new approach based on the concept of ion association, more adequate in the low-T⁎ limit. The new model addresses ion binding and mobility consistently within the same physical picture, applied to different types of single and mixed salts. The resulting relations show a significantly weaker connection between ion partitioning and permeability than the standard ones. Estimates using primitive model (PM) of ions in a homogeneous dielectric suggest that non-PM mechanisms, originating from the molecular structure of the ion-solvating environment, might enhance ion association in membranes. PM analysis also predicts that ion solvation and association must be rigidly related, yet non-PM effects may decouple these phenomena and allow a crossover to non-trivial regimes consistent with experiments and simulations. Despite the crude nature of the presented approach and some questions remaining open, it appears to explain most available experimental data and presents a step towards predictive modeling of ion-selective membrane separations in water-, environment- and energy-related applications.
KW - Ion association
KW - Ion mobility
KW - Ion solvation
KW - Ion transport in polymers
KW - Ion-separating membranes
KW - Primitive model
UR - http://www.scopus.com/inward/record.url?scp=85078283060&partnerID=8YFLogxK
U2 - 10.1016/j.cis.2020.102107
DO - 10.1016/j.cis.2020.102107
M3 - Review article
C2 - 32000110
AN - SCOPUS:85078283060
SN - 0001-8686
VL - 277
JO - Advances in Colloid and Interface Science
JF - Advances in Colloid and Interface Science
M1 - 102107
ER -