Kongshuang Zhao*,
Qing Lu and
Wenjuan Su
College of Chemistry, Beijing Normal University, Beijing 100875, China. E-mail: zhaoks@bnu.edu.cn; Tel: +86-010-58805856
First published on 6th November 2014
This work reports the dielectric analysis of three kinds of nanofiltration membranes (NF90, NF- and NF270) in eight electrolyte solutions. The high-frequency relaxation was analyzed theoretically and the relative permittivity and conductivity of the wet-membranes were calculated. Porosity of these membranes and ion solvation energy barrier were calculated using the relative permittivity of the wet-membrane. By combining the conductivity ratio of membrane and solution, κm/κw, with the TMS model, the volumetric charge density of the membranes was estimated. The concentration expressions of co- and counter-ions in the membranes were deduced based on the Donnan exclusion theory. The wet membrane's relative permittivity rather than the dry one was used in all of the calculations, so the results are very close to the practical separation process. Furthermore, the influencing factors on the ion permeability for three types of NF membranes were discussed by considering the ion concentrations inside the membranes, ion solvation energy barrier and the surface charge density on the pore-wall.
Several experimental methods, such as measurement of membrane potential, streaming potential, zeta potential and salt permeability, have been used widely to characterize the NF membrane.4–8 Some of these methods can obtain information on the pore radius of the membrane from which the membrane volumetric charge density can be calculated. Furthermore, other researches focus on predicting membrane performance through theoretical model with the help of assumed parameters, such as the pore radius and membrane relative permittivity.9,10 Besides, the researches on checking the applicability of the existing model by comparing theoretical with experimental results, and discussing the influence of dielectric exclusion and Donnan exclusion on ion permeability of membrane have been reported.11–13 In the former methods, the factors that affect ion transport have not been analyzed, while by the latter methods, it is difficult to give accurate parameters on membrane performance because just assumed parameters were used. Dielectric analysis based on appropriate model can compensate for these defects.
Numerous valuable researches on separation membrane by dielectric spectroscopy or electrical impedance spectroscopy (EIS) have been reported.14–23 Among them, the works from Coster and co-workers are representative. They determined the stability of supporting liquid membrane,14 characterized the electrical properties and porosity of ultrafiltration membranes,13 discussed fouling of reverse osmosis membranes,16 and investigated the electrical properties of BSA-fouling of ion exchange membrane by EIS.17 Besides, Benavente et al. studied the influence of polysulfone membranes that modified with polyethylene glycol and lignosulfate on the electrical properties of membrane.18 In our previous studies,24 an effective method to calculate the inner parameters of multi-membrane under solution was proposed, and have been adapted to detect the structural and electrical properties of NF membrane.25–27
In fact, the dielectric analysis method has been widely used to study various heterogeneous systems to obtain inner information of constituent phases of these systems.28 For the membrane–solution systems, the relative permittivity and conductivity of the membrane phase and solution phase, εm,εw,κm,κw, can be calculated. Among these phase parameters, the relative permittivity of the membrane εm is very significant because it is essential to calculate the ion solvation energy barrier that characterize the selectivity of membrane. In addition, by these phase parameters, the porosity of membrane and membrane volumetric charge density can be evaluated. Moreover, taking the advantages of the dielectric analysis method, namely in situ and non-invasive measurement to the system,29,30 all the parameters coupled with the transport models can describe the behavior of membrane in real separation process, which is undoubtedly effective for discussing ions permeability.
In the present paper, the dielectric measurements for three types of nanofiltration membrane (NF90, NF-, NF270) immersed in different electrolyte solutions were carried out over a frequency range from 40 Hz to 110 MHz. Choosing these membranes is because that the structural and electrical parameters of these membranes, especially their pore radius and volumetric charge density are different from one another. The objective of this paper is to explain the high-frequency relaxation behavior and obtain the parameters of membrane and electrolyte solution phase, especially the relative permittivity of the NF membrane in varying electrolyte solutions. The relative permittivity is an indispensable value for calculating more electrical parameters by which we estimate the ion permeability and selectivity of the membrane, the porosity of the membrane and membrane volumetric charge density by combining with TMS transport model. We will also derive the expressions describing the relation between the concentration of co- and counter-ions in membrane pores and membrane volumetric charge density. The ion permeability in three types of membranes respectively will also be suggested by using the ion solvation energy barrier.
In this work, the membrane is sandwiched between two solution phase, so the measuring system can be considered as a solution–membrane–solution construction.28,29 From dielectric point of view, when the solutions at both sides of the membrane are the same, the system can be represented to be a series combination of a membrane phase with a complex capacitance C*m and a solution phase with a complex capacitance C*w. The equivalent circuit of the system is shown in Fig. 1(a), each phase consists of a resistor (of conductance G) in parallel with a capacitor (of capacitance C). It should be noted that what observed experimentally is the frequency dependence of apparent capacitance C(f) and apparent conductance G(f) of the whole system represented by equivalent circuit Fig. 1(b).
Based on the MW theory, the complex capacitance C* of the whole measuring system is represented by eqn (1),
![]() | (1) |
![]() | (2) |
Eqn (2) can also be written by the complex relative permittivity
![]() | (3) |
By substituting the eqn (2) into (1), the capacitance and conductance can be expressed by that of the constituent phases. Hanai et al. derived a series of expressions about the relations between phase parameters i.e. the capacitance and conductance of membrane and solution phase Cm,Cw,Gm,Gw (see Fig. 1(a)) and dielectric parameters (i.e. the limiting values of C and G at high (subscript h) and low (subscript l) frequencies Cl,Ch,Gl,Gh).32 According to these equations, the values of Cm,Cw,Gm,Gw (or εm,κm,εw,κw) can be calculated. The corresponding calculation formulas and computational procedures are listed in ESI.† For additional information about expressions, refer to literature.27
In TMS model, the membrane is described as a gel-phase, ion concentration and electric potential distributed uniformly in the membrane. The basic equations of the model consist of Donnan equation describing the ion dispersions in membrane and in bulk solution and the Nernst–Planck equation that is related to the ion transport in membrane. Besides, the electroneutrality conditions in membrane and solution two phases defined below must be taken into account when the ion partitioning coefficients is calculated. The important parameter of above equations, ion partitioning coefficients, is given by
![]() | (4) |
z1cm1 + z2cm2 + ce = 0 | (5) |
z1cw1 + z2cw2 = 0 | (6) |
For 1:
1 and 2
:
1 type-electrolyte solution, the concentration of co- and counter-ions in membrane can be expressed as:
![]() | (7a) |
![]() | (7b) |
![]() | (8a) |
![]() | (8b) |
For 1:
2 type-electrolyte solution, the concentration of co- and counter-ions in membrane can be expressed as:
When 144(cw1)6 − 4|ce|3(cw1)3 > 0
![]() | (9a) |
![]() | (9b) |
When 144(cw1)6 − 4|ce|3(cw1)3 < 0
cm1 = |ce|/3![]() | (10a) |
cm2 = 2|ce|/3![]() | (10b) |
For 2:
2 type-electrolyte solution, the corresponding concentrations are expressed as:
![]() | (11a) |
![]() | (11b) |
Combining these concentration expressions deduced with the conductivities (κm and κw) of membrane and electrolyte solution which are obtained through dielectric analysis, membrane volumetric charge density ce can be estimated. Substituting ce back into eqn (7)–(11), the values of these concentration that considered Donnan exclusion can be calculated. These parameters will provide essential support for discussing the influence factors on ion permeability of membrane.
In this paper, we take NF90 membranes–K2SO4 solution as an example to illustrate the dielectric analysis processes. But, the analysis results for all three membranes (NF90, NF- and NF270 membrane) are discussed. All the raw data were subjected to certain corrections for the errors arising from residual inductance due to the cell assembly,35 and the detail is also described in the Part 1.1 The relative permittivity ε and conductivity κ were determined by following equations ε = Cs/Cl and κ = Gsε0/Cl (ε0 is the permittivity of vacuum).
![]() | ||
Fig. 3 Frequency dependences of (a) relative permittivity ε and (b) conductivity κ for the cell systems with NF90 membrane in K2SO4 aqueous solutions. |
Fig. 3(a) and (b) show the frequency dependence of the relative permittivity and the conductivity in different electrolyte concentrations for the NF90 membrane–K2SO4 system, respectively. In Fig. 3, εl,εh,κl,κh termed dielectric parameters in this paper, indicate the limiting value of relative permittivity and conductivity at low and high frequencies, respectively, and f0 is characteristic relaxation frequency. Generally, in order to estimate dielectric parameters, the “model function method” in which Cole–Cole empirical equation is used to fit dielectric data is often employed.35 However, when the relaxation profile is utterly clear, so called “model free method” are also adopted, i.e. determine the dielectric parameters by plotting. Fig. 4(a) and (b) show the complex plane plots of relative permittivity and conductivity, respectively, and Fig. 4(c) shows the frequency dependence of dielectric loss. The values of ε′′ and κ′′ were calculated according to following relations respectively, the values of εl,εh,κl,κh, and f0 were determined from these figures:
![]() | (12) |
κ′′ = ωε0(ε − εh) | (13) |
![]() | ||
Fig. 4 Frequency dependence of (a) relative permittivity ε and (b) conductivity κ for the cell systems with NF90 membrane in 0.05 mol m−3 K2SO4 aqueous solution. |
To examine if the dielectric parameters obtained above were accurate, we fitted the dielectric spectrum data using Cole–Cole equation in trigonometric function (eqn (14)), and only εl,εh and f0 were obtained, κl and κh were obtained according to the method described in Section 3.2.1 of Part 1.1
![]() | (14) |
c (mol m−3) | εl | εh | Δε | κl (μS m−1) | κh (mS m−1) | Δκ (μS m−1) | f0 (Hz) |
---|---|---|---|---|---|---|---|
0.05 | 2559.11 | 79.78 | 2479.33 | 12.46 | 2.002 | 1989.54 | 11 531 |
0.1 | 2558.34 | 79.85 | 2478.49 | 16.78 | 2.725 | 2708.22 | 18 486 |
0.2 | 2555.32 | 78.80 | 2476.52 | 17.36 | 5.299 | 5281.64 | 34 687 |
0.4 | 2553.95 | 79.06 | 2474.89 | 23.20 | 9.584 | 9560.8 | 65 086 |
0.7 | 2558.02 | 78.81 | 2479.21 | 38.58 | 16.13 | 16091.42 | 122 125 |
1.0 | 2555.46 | 78.75 | 2476.71 | 50.56 | 22.45 | 22399.44 | 167 287 |
2.0 | 2552.33 | 78.87 | 2473.46 | 90.37 | 41.45 | 41359.63 | 268 193 |
4.0 | 2557.42 | 78.80 | 2478.62 | 172.0 | 76.22 | 76 048 | 588 965 |
7.0 | 2550.99 | 78.74 | 2472.25 | 270.9 | 117.0 | 116729.1 | 944 223 |
It is obvious from Table 1 that the dielectric increment Δε (=εl − εh) is almost invariable as concentration increases, whereas the characteristic frequency f0 and conductivity increment Δκ (=κh − κl) depend linearly on the concentration, as shown in Fig. 5. According to our previous researches on membrane–solution system28–30,32,34 and the literatures,33,36 this result indicates a distinctive feature of the interfacial polarization. Therefore, we believe that the high frequency relaxation is caused by the interfacial polarization occurring at the interface between whole membrane and solution, and the analysis method elaborated in Section 2.1 is suitable for analyzing this high-frequency relaxation.
c (mol m−3) | εm | εw | κm (nS m−1) | κw (mS m−1) | ε′w | κ′w (mS m−1) |
---|---|---|---|---|---|---|
0.05 | 2.741 | 80.25 | 19.23 | 2.074 | 80.12 | 2.045 |
0.1 | 2.323 | 80.61 | 13.44 | 2.846 | 80.33 | 2.829 |
0.2 | 2.401 | 80.53 | 14.75 | 5.528 | 80.69 | 5.152 |
0.4 | 2.313 | 80.14 | 20.49 | 10.01 | 80.27 | 10.00 |
0.7 | 2.082 | 80.40 | 30.90 | 16.96 | 80.66 | 17.28 |
1.0 | 2.115 | 80.36 | 42.39 | 23.59 | 80.82 | 24.58 |
2.0 | 2.086 | 80.04 | 76.35 | 43.04 | 80.29 | 44.39 |
4.0 | 2.045 | 80.44 | 142.2 | 80.38 | 80.47 | 83.39 |
7.0 | 1.995 | 80.56 | 218.2 | 123.4 | 80.73 | 134.6 |
εm = εwfw + ε′m(1 − fw) | (15) |
Electrolytes | Membrane | ||
---|---|---|---|
NF90 | NF- | NF270 | |
NaCl | 2.729 | 3.408 | 3.741 |
KCl | 2.912 | 3.966 | 4.228 |
MgCl2 | 2.187 | 3.552 | 7.532 |
CuCl2 | 2.145 | 3.981 | 6.774 |
Na2SO4 | 2.201 | 6.021 | 8.924 |
K2SO4 | 2.065 | 3.292 | 3.839 |
MgSO4 | 2.312 | 6.315 | 5.419 |
CuSO4 | 2.207 | 5.542 | 7.919 |
Average | 2.395 | 4.510 | 6.047 |
Taking the relative permittivity of dry NF90 membrane as 1.68 and substituting εm and εw listed in Table 2 into eqn (15), the values of fw at various concentrations of K2SO4 were calculated. The results showed that fw decreases sharply with the increase of electrolyte concentration within lower concentration and finally tends to remain unchanged as shown in Fig. 6(a), when concentration of K2SO4 is above 0.7 mol m−3 fw is about 0.004, indicating that the water content in membrane is very low. Therefore, we can speculate that the membrane has a compact structure and ions are hard to pass through the membrane, leading that ions can be effectively retained in the membrane.
![]() | ||
Fig. 6 Concentration dependence of fw (a) and εm (b) for system of NF90 membrane in K2SO4 electrolyte solutions. |
The concentration dependency of εm has similar changing trend with that of fw (Fig. 6(b)), i.e. both of εm and fw decrease sharply near the concentration of 0.7 mol m−3. The reason may be interpreted as follow: because the membrane is electrical charged, when the counter-ions enter the membrane pores, electrostatic repulsion between polymeric backbones will be shielded gradually, giving rise to aggregate and reunite between polymer chains in a relatively compact state. Accompanied with this change, fw decreased, so did the relative permittivity of the membrane εm. While when fixed charges were shielded completely because of the ions permeating into the membrane, increasing the concentration of electrolyte solution will no longer impact on the aggregation state of polymer backbones. As a result, fw and εm have no change over the concentration range of 1–7 mol m−3. Therefore, in following calculations, we took the mean value of εm (2.065 for NF90 membrane in K2SO4) in varying electrolyte concentrations as the relative permittivity of membrane. The mean values for three kinds of membranes NF90, NF- and NF270 in eight electrolyte solutions are listed in Table 3.
From the Table 3 it is obvious that for NF90 membrane εm is almost independent of the kind of the electrolyte and has an average of 2.4, while the values for both NF and NF270 membranes are indeterminate for different electrolyte type. εm fluctuates between 3.3 and 6.3 and average is about 4.5 for NF-membrane, and it changes ranging from 3.7 to 8.9 and average is about 6.0 for NF270 membrane. These fluctuations of data can be believed to be caused by the error during calculation process because the results in Table 3 are obtained through two times calculation processes starting from raw data. In addition, the values of εm for both NF and NF270 membranes are greater than that of NF90. This may be related to the porosity of these membranes.
In our previous paper,1 we have calculated thickness and pore diameter of the three membranes. The average values of the thickness in different concentrations are 0.2335 μm, 0.2337 μm and 0.2334 μm, and the average values of pore diameter are 0.2838, 0.3250, 0.3582 nm for NF90, NF- and NF270 membrane, respectively. Obviously, the pore diameter for NF- and NF270 membrane are approximately equal but greater than that of NF90. Therefore, the reason of the difference in relative permittivity between three membranes can be explained as follows: the membrane with high water content has higher relative permittivity, therefore the values of εm for both NF- and NF270 membrane are greater than that of NF90. This can also be supported by the data of porosity of the three membranes (see a later Table 5).
To investigate the selectivity and permeability of ions in the NF membranes, the dependency of membrane conductivity κm on electrolyte concentration for the three membranes in eight electrolyte solutions was plotted in Fig. 7. It is obvious that κm increases linearly with increasing electrolyte concentration for each system, however, the increase rates are different each other. For different types of electrolyte solutions, the increase rate of κm for NF- membranes in four types of electrolyte solutions follow the trend: 1:
2 > 1
:
1 > 2
:
1 > 2
:
2. This is because that under AC field, ions transporting into membrane was influenced by dielectric exclusion, Donnan exclusion and steric hindrance, because the interaction between the ions with different valences and three kinds of membranes respectively are not the same, such, the degree of difficulty that the ions of different types of electrolyte transfer into membrane are also different. As a result, there are differences in κm for different types of electrolyte.
![]() | ||
Fig. 7 Dependence of conductivity of membrane κm on solution concentration c for systems composed of NF membranes and eight kinds of electrolytes: (a) NF90; (b) NF-; (c) NF270. |
For NF-membrane, univalent counter-ions are easier to transport into the membrane than bivalent counter-ions. The lower the valence of co-ions, the easier the electrolyte transporting into the membrane. It can be seen from Fig. 7 that, for different types of electrolytes, the increase rate of κm for NF90 membrane in four electrolyte solutions follow the trend: 1:
1 > 2
:
1 > 1
:
2 > 2
:
2, while for NF270, it seems irregularly. In short, increasing rate of κm for the three types of NF membranes in different types of electrolytes are various, showing that the interaction between ions and membrane matrix are different, this is because these membranes have different structural and electrical properties, i.e. pore radius, membrane volumetric charge density and porosity of the membrane. Therefore, the difficulty for electrolytes transporting into the three types of NF membranes are different. We will further discuss the influence factors of ions transport by combining the TMS model and the ion solvation energy barrier.
Cm = C′m + Cp = [εpε0Sp]/a + [ε′mε0(1 − p)S]/a | (16) |
From eqn (16), p can be represented as
p = [(aCm/ε0A) − ε′m]/[εp − ε′m] | (17) |
In this formula, the relative permittivity of dry polymers ε′m is known (see Section 4.1.3), so Cm can be calculated according to εm = Cm(a/Sε0), where the membrane thickness a for three membrane have been obtained in Part 1.1 While εp was calculated by following equation:38
![]() | (18) |
Eqn (18) shows that the pore is consisted of one layer of oriented water molecules at the pore-wall (the relative permittivity and the thickness of the water layer are εd and d respectively) and solution inside the pore which is different from bulk solution because under AC field the rotation of the water molecules in the pore is restrained. So, relative permittivity εp inside the pore is different from that εw of bulk water. According to literature,38 the values of εd and d are 6 and 0.28 nm respectively. The pore radius have also been obtained in Part 1. The calculated εp are listed in Table 4.
Electrolyte | NaCl | KCl | MgCl2 | CuCl2 | Na2SO4 | K2SO4 | MgSO4 | CuSO4 |
---|---|---|---|---|---|---|---|---|
NF90 | 31.0 | 31.0 | 31.0 | 31.0 | 31.0 | 31.0 | 31.0 | 31.0 |
NF- | 31.8 | 31.8 | 31.5 | 31.9 | 31.9 | 31.8 | 31.8 | 31.9 |
NF270 | 32.9 | 32.8 | 32.9 | 33.5 | 33.4 | 33.7 | 33.7 | 33.8 |
By substituting εp in Table 4 into eqn (17), the porosity of three NF membranes p in different electrolyte solutions were calculated and are listed in Table 5. It is clear that for any type of membrane, the porosity in different electrolytes has no significant differences, and the porosity has a sequence of NF270 > NF- > NF90. For the convenience of comparison, the dependency of membrane conductivity κm of three membranes on K2SO4 concentration c were plotted in Fig. 8, it is obvious that the increase rate of κm of three membranes as K2SO4 concentration c are different: NF270 > NF- > NF90, this sequence is in line with the porosity of the three membranes. Because the magnitude of κm is proportional to the amount of electrolyte in membrane as discussed above, the difference in κm between the three membranes suggested the possibility that the magnitude of the porosity influences ions transporting into membrane.
Electrolyte solutions | p(NF90) (%) | p(NF-) (%) | p(NF270) (%) |
---|---|---|---|
NaCl | 3.24 | 5.33 | 6.15 |
KCl | 3.85 | 7.12 | 7.69 |
MgCl2 | 1.73 | 6.20 | 18.7 |
CuCl2 | 1.59 | 7.60 | 16.0 |
Na2SO4 | 1.78 | 14.3 | 22.7 |
K2SO4 | 2.00 | 5.34 | 6.73 |
MgSO4 | 2.84 | 15.4 | 11.7 |
CuSO4 | 1.80 | 12.7 | 19.4 |
Average | 2.35 | 9.25 | 13.6 |
In our previous work,28 a certain relation among κm/κw, the ion concentrations in membrane and in solution, and transport numbers of ion in bulk solution had been derived as the following.
![]() | (19) |
Further, by substituting the expressions eqn (7)–(11) into (19), the expression of κm/κw for 1:
1, 1
:
2, 2
:
1, and 2
:
2 type-electrolyte solution with two variables were derived. The two variables, Um and Uw, are defined as P1 = Um1/Uw1 = Um2/Uw2, i.e., the ratio of ion mobility in membrane and solution, and P2 = ce (i.e., the membrane volumetric charge density). Then, by fitting the κm/κw obtained experimentally for all membrane systems to the expression of κm/κw by varying values of P1 and P2, the values of ce for NF90, NF-, NF270 membranes in eight kinds of electrolyte solutions were obtained and the results are listed in Table 6. It is obvious from Table 6 that for any NF membrane, ce is almost independent of the kinds of electrolyte solutions, and ce of NF90 is larger than that of NF- and NF270.
Membrane | Electrolyte | NaCl | KCl | MgCl2 | CuCl2 | Na2SO4 | K2SO4 | MgSO4 | CuSO4 | Average |
---|---|---|---|---|---|---|---|---|---|---|
NF90 | (ce (mol m−3)) | 0.88 | 0.85 | 1.13 | 1.09 | 0.90 | 0.81 | 1.05 | 1.03 | 0.97 |
NF- | (ce (mol m−3)) | 0.62 | 0.36 | 0.76 | 0.41 | 0.55 | 0.33 | 0.70 | 0.34 | 0.51 |
NF270 | (ce (mol m−3)) | 0.69 | 0.41 | 0.57 | 0.55 | 0.56 | 0.42 | 0.59 | 0.58 | 0.55 |
By substituting ce in Table 6 back into eqn (7)–(11), the concentrations of co- and counter-ions were calculated. Table 7 shows the results for the systems of the three membranes and K2SO4 solution. For clarity, the dependences of co- and counter-ions concentration in membranes on the electrolyte concentration c for the three NF membrane systems are plotted in Fig. 10. The concentrations of both co-ions cm2 and counter-ions cm1 in membrane pore increase linearly as c increased. The only difference between them is their growth rate with c. Specifically, for 1:
1 and 2
:
2 type-electrolyte solutions in Fig. 10(a), (b), (g) and (h), cm1 is larger than cm2 over the whole concentration range, and the growth rate of cm1 and cm2 are the same. For 1
:
2 type-electrolyte in Fig. 10(c) and (d), cm1 is larger than cm2 while c is relatively low. However, as the growth rate of cm2 is over than that of cm1, cm2 becomes larger than cm1 gradually, which can be explained as follows: when c exceeds ce, the fixed charge in membrane was neutralized gradually, Donnan exclusion was weakened. On the other hand, the concentration of co-ions c2 is twice that of counter-ions in bulk solution c1, therefore, cm2 becomes larger than cm1 gradually as c increase. The membrane volumetric charge density ce was determined from the intersection of the lines of co-ions and counter-ions. For 2
:
1 type-electrolyte in Fig. 10(e) and (f), because c1 is twice that of co-ions c2 in bulk solutions, the growth rate of cm1 is larger than cm2.
c (mol m−3) | NF90/K2SO4 | NF-/K2SO4 | NF270/K2SO4 | |||
---|---|---|---|---|---|---|
cm1 | cm2 | cm1 | cm2 | cm1 | cm2 | |
0.05 | 0.8080 | 0.0008 | 0.3364 | 0.0044 | 0.4258 | 0.0028 |
0.1 | 0.8184 | 0.0060 | 0.3823 | 0.0274 | 0.4584 | 0.0190 |
0.2 | 0.8877 | 0.0406 | 0.5439 | 0.1082 | 0.5988 | 0.0892 |
0.4 | 1.1764 | 0.1850 | 0.9254 | 0.2989 | 0.9674 | 0.2735 |
0.7 | 1.7268 | 0.4601 | 1.5182 | 0.5953 | 1.5550 | 0.5674 |
1.0 | 2.3081 | 0.7508 | 2.1154 | 0.8939 | 2.1504 | 0.8650 |
2.0 | 4.2877 | 1.7406 | 4.1122 | 1.8923 | 4.1451 | 1.8624 |
4.0 | 8.2781 | 3.7358 | 8.1107 | 3.8916 | 8.1426 | 3.8611 |
7.0 | 14.274 | 6.7338 | 14.110 | 6.8912 | 14.142 | 6.8606 |
![]() | ||
Fig. 10 Dependence of co- and counter-ion concentration cm2 and cm1 in membrane on solution concentration c for NF membranes in eight kinds of electrolytes. |
The parameters above obtained, ce, cm2 and cm1 in four types electrolyte solutions, will be used to discuss the influence of Donnan exclusion on the transport of different electrolyte in three membranes in following 4.3 Section.
Considering the change of electrostatic free energy (or relative permittivity) of an ion from bulk to membrane pore, based on Born equation12 in which only the relative permittivity of whole membrane was considered, an expressions of ion solvation energy barrier ΔWi for ion i was proposed:40
![]() | (20) |
Ions | Na+ | K+ | Mg2+ | Cu2+ | Cl− | SO42− |
---|---|---|---|---|---|---|
Stokes radius rs (nm) | 0.184 | 0.125 | 0.347 | 0.325 | 0.121 | 0.230 |
Using the Stokes radius of ions, the relative permittivity of membrane pores in Table 4, the relative permittivities of membrane and solution in Tables 2 and 3, the energy barrier that hydrated ions transfer into pores, ΔWi, for three NF membranes were calculated by eqn (20), and are summarized in Table 9.
Membranes | Electrolyte | NaCl | KCl | MgCl2 | CuCl2 | Na2SO4 | K2SO4 | MgSO4 | CuSO4 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Na+ | Cl− | K+ | Cl− | Mg2+ | Cl− | Cu2+ | Cl− | Na+ | SO42− | K+ | SO42− | Mg2+ | SO42− | Cu2+ | SO42− | ||
NF90 | (ΔWi (×10−20 J)) | 6.06 | 6.71 | 5.81 | 6.45 | 27.7 | 8.15 | 28.8 | 8.38 | 7.53 | 29.1 | 8.00 | 28.7 | 29.0 | 39.3 | 33.5 | 42.6 |
NF- | 9.06 | 13.1 | 8.65 | 12.8 | 22.8 | 13.4 | 21.3 | 12.6 | 7.85 | 25.3 | 12.8 | 30.4 | 16.8 | 25.3 | 17.9 | 24.9 | |
NF270 | 7.35 | 10.5 | 7.12 | 10.3 | 13.5 | 9.58 | 13.6 | 8.79 | 5.72 | 18.3 | 9.20 | 22.3 | 13.6 | 19.4 | 12.6 | 17.6 |
For the sake of greater clarity, the values of ΔWi in Table 9 were plotted against the types of electrolyte in Fig. 11. It can be seen that for any kind of NF membrane, ΔWi varies with the kinds of electrolyte. For 1:
1 and 2
:
2 type-electrolyte solutions, ΔWi of co- and counter-ions are close to each other, while for 1
:
2 and 2
:
1 type-electrolyte, the values of ΔWi between the co- and counter-ions have obvious difference. This shows that the valence of ion is a crucial factor influencing ion solvation energy barrier. For the three NF membranes, the sequence of ΔWi for electrolyte solutions is as below: 2
:
2 > 1
:
2, 2
:
1 > 1
:
1, which implies that for two kinds of electrolyte solutions, when the valence of co-ion is the same, ΔWi with higher valence of counter-ion is larger than that of lower valence. Furthermore, ΔWi of 2
:
2 type-electrolyte is much larger than that of 1
:
1, 1
:
2 and 2
:
1, which shows the higher ion valence results in a larger ion solvation energy barrier, thereby ions to permeate the membrane became more difficulty. Therefore, from the perspective of ion solvation energy barrier, it can be concluded that for 2
:
2 type-electrolyte with the highest ion valence in these eight kinds of electrolyte, the permeation of ion is the most difficult.
![]() | ||
Fig. 11 Dependence of born solvation energy barrier of the counter- and co-ions between electrolyte solutions and NF membranes on kinds of electrolytes. |
From above discussion it is clearly that the influence of ion solvation energy barrier ΔWi on the ion permeation into different kinds of NF membranes are different. This is because there are the difference for the three membranes in structural and electrical properties which are strongly associated with interactions between membrane and electrolytes. The interaction have been extensively investigated based on the Donnan exclusion and dielectric exclusion.41,42
cpe = (z*1cm1 − z*2cm2) | (21) |
From this expression, it is clearly that from the view of Donnan exclusion, the larger the surface charged density σ0 on pore-wall, the higher the charge density cpe in pore should be. Therefore, by comparing cpe with σ0, the influence of Donnan exclusion on ion permeation can be clarified. That is, if the experimental results (here refers to σ0) are in accordance with the calculated results under the consideration of Donnan exclusion (refers to cpe), Donnan exclusion is dominant influence factor in ion permeation process (see 4.3.1 for a specific example). On the other hand, because ΔWi represents the dielectric exclusion effect, in any kind of electrolyte solution, the closer the value of ΔWi between co- and counter-ions, the lower the surface charge density σ0 on pore-wall. Therefore, by comparing the level of similarity of ΔWi between co- and counter-ions with σ0, we can estimate the influence of dielectric exclusion on ion permeation of membrane. That is, if σ0 obtained experimentally can correspond to ΔWi, solvation energy barrier will reflect the ion permeation. In a word, on the base of σ0, cpe and ΔWi, the dominating factor that affects ion separation process of the three kinds of NF membranes can be clarified.
The above result is easy to understand: according to Donnan equilibrium principle, there is particular distribution of ions in electrolyte solution and membrane with fixed charges. When the electrolyte concentration of solution is relative lower, the counter ions in solution will be attracted strongly into the pores by the fixed charges owing to Donnan potential, resulting in the electrochemical potential of ions in the solution and membrane is equal. However, when the concentration becomes higher, the fixed charges in membrane are shielded by a large number of counter ions, Donnan exclusion loses effectiveness partially, and dielectric exclusion plays a major role in ion permeation.
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Fig. 14 Dependence of surface charge density (a) and charge concentration (b) in the pore-wall of NF270 membrane of eight electrolytes on the concentration of the electrolyte solutions. |
Strictly speaking, the changes of salt concentrations may more or less alter the pH of the solution, and then changes the surface charge density σ0. For this, the pH of stock solutions of all salts at all concentrations were measured (see the Fig. S1 of the ESI†). It is obvious that different salts and different concentrations of identical salts show biggish differences in pH values. The differences may also affect the protonation of the carboxylate groups located the pore walls, giving rise to different surface charge density. But for all this, the changing trends of σ0 with concentrations shown in Fig. 12(a), 13(a) and 14(a) can still assess the dominating factor of Donnan exclusion in the membrane permeation of ion.
Secondly, the porosity of the NF membranes in wet state were calculated using εm, radius and thickness of the membrane. By combining κm/κw with TMS model, the membrane volumetric charge densities of the three types of membranes, which is an vital membrane parameter in research of membrane separation performance, were calculated. The expressions of concentrations of co-ions cm2 and counter-ions cm1 in membranes were deduced under the consideration of Donnan exclusion. Ion solvation energy barrier was calculated by using εm of wet membrane. The energy barriers to the solvation of ion into pores of three types of NF membranes in eight electrolytes solutions were discussed in detail, it was found that for 2:
2 type electrolytes with the highest ion valence in these electrolyte solutions, ions permeation is the most difficult in terms of energy barrier. The all electrical parameters obtained in this work should be closer to the practical membrane process, because the relative permittivity of wet membrane was used in the calculations.
Finally, by combining the surface charge density σ0 with concentrations of co- and counter-ions and energy barrier, the factor influencing ion separation process were suggested. From the view of Donnan exclusion, the larger the surface charge density σ0 on pore-wall, the larger the charge density cpe in pore; on the other hand, from the view of dielectric exclusion, in one kind of electrolyte solution, the closer the value of solvation energy barrier of co- and counter-ions, the lower the values σ0. From this, main factor are clarified for each type of NF membrane. For NF90 membrane, Donnan exclusion is the dominating factor of ion permeation at low concentration, while when the concentration increases, dielectric exclusion becomes the dominating factor. For NF- and NF270 membrane, dielectric exclusion plays an important role in ion permeation of membrane over all of the experimental concentration range.
In summary, NF membranes immersed in electrolyte solutions were systematically investigated and some information on ion permeability and selectivity through membrane by analyzing dielectric spectra coupled with the transport models. Additionally, this paper may provide some enlightenments for solving the problems that are always encountered in complex membrane–solution systems. However, it should be noted that although the dielectric analyzing method proposed by us has provided a lot of information about the membrane and ion transfer process from the membrane, including some unique parameters just by analyzing the relaxation processes, the analysis procedure is still rather tedious and complex. Therefore, it is inevitable that during the analyzing processes the errors in electrical and structural parameters are brought by the computation and fitting experiment data, which may affect accurate judge to some conclusions. In addition, it is also hard to obtain these parameters simultaneously when two or more variables are requested to change, for example, like the pH and concentration in this work. Due to the above disadvantages and relative merits of the method, it will be necessary to model the studied system appropriately and lessen the variables in analyzing equations for improvement fitting precision.
Footnote |
† Electronic supplementary information (ESI) available. See DOI: 10.1039/c4ra13598a |
This journal is © The Royal Society of Chemistry 2014 |