Journal Pre-proof Scaling behavior of iron in capacitive deionization (CDI) system Tianyu Wang, Changyong Zhang, Langming Bai, Binghan Xie, Zhendong Gan, Jiajian Xing, Guibai Li, Heng Liang PII:
S0043-1354(19)31144-3
DOI:
https://doi.org/10.1016/j.watres.2019.115370
Reference:
WR 115370
To appear in:
Water Research
Received Date: 23 June 2019 Revised Date:
22 November 2019
Accepted Date: 2 December 2019
Please cite this article as: Wang, T., Zhang, C., Bai, L., Xie, B., Gan, Z., Xing, J., Li, G., Liang, H., Scaling behavior of iron in capacitive deionization (CDI) system, Water Research (2020), doi: https:// doi.org/10.1016/j.watres.2019.115370. This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. © 2019 Published by Elsevier Ltd.
Graphical Abstract
1
Revised Manuscript for Water Research
2
Date: November-21th-2019
3 4
Scaling behavior of iron in capacitive deionization
5
(CDI) system
6
Tianyu Wanga, Changyong Zhangb, Langming Baia, Binghan Xiea, Zhendong Gana, Jiajian
7
Xinga, Guibai Lia, Heng Lianga*
8 9 a
10 11 12 13
State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, PR China
b
UNSW Water Research Centre, School of Civil and Environmental Engineering, University of New South Wales, Sydney, NSW, 2052, Australia
14 15
E-mail:
[email protected] (T. Wang);
[email protected] (C. Zhang);
16
[email protected] (L. Bai);
[email protected] (B. Xie);
[email protected] (Z.
17
Gan);
[email protected] (J. Xing);
[email protected] (G. Li);
[email protected]
18
(H. Liang).
19 20 21
* Corresponding author.
22
E-mail address:
[email protected] (H. Liang). 1
23
Abstract:
24
This study investigated the fouling and scaling behaviors in a capacitive deionization (CDI)
25
system in the presence of iron and natural organic matter (NOM). It was found that the salt
26
adsorption capacity (SAC) significantly decreased when treating Fe-containing brackish water,
27
with higher Fe concentrations leading to severer SAC reduction. Raman spectroscopy, X-ray
28
photoelectron spectroscopy (XPS) and X-ray diffraction (XRD) analysis demonstrated that Fe2O3
29
appeared to be the predominant foulant attached on the electrode surface, which was difficult to be
30
removed via backwashing or polarity reversal, indicating the irreversible property of the foulant.
31
Further characterizations (e.g., N2 sorption-desorption isotherms, electrochemical impedance
32
spectroscopy and cyclic voltammetry) revealed that the CDI electrodes suffered from obvious
33
deterioration such as specific surface area loss, resistance increase and capacitance decline with
34
the occurrence of Fe scaling. While the presence of NOM alleviated the Fe scaling through
35
NOM-Fe complexing effects, NOM itself was found to have negative impacts on CDI desalination
36
performance due to their strong interactions with the carbon electrodes.
37 38
Keywords: Capacitive deionization; Iron scaling; Natural organic matter; Fouling mechanisms
39 40 41 42 43
2
44
1. Introduction
45
Nowadays, the scarcity of potable water resources is becoming one of the key challenges
46
worldwide (Elimelech and Phillip 2011, Schwarzenbach et al. 2010). Therefore, many countries
47
are actively developing technologies to produce fresh drinking water from unconventional water
48
resources such as brackish water and seawater (Ghaffour et al. 2013, Sheikholeslami 2009,
49
Subramani and Jacangelo 2015). Capacitive deionization (CDI) has emerged as one of the most
50
promising tools capable of low/medium salinity water desalination, with advantages of low energy
51
consumption, low environmental impact and convenient operation over other competitors such as
52
reverse osmosis, thermal distillation and electrodialysis (AlMarzooqi et al. 2014, Porada et al.
53
2013b, Suss et al. 2015, Wang and Lin 2018b, Zhang et al. 2018). Upon application of a constant
54
voltage/current, ions in the feedwater will be driven by the electrostatic force and stored in the
55
electric double layers (EDLs) formed between the porous electrodes and electrolyte, resulting in
56
the production of freshwater (charging/electroadsorption stage); once the electrodes reach
57
saturation, the adsorbed ions can be released back into the bulk solution by short-circuiting or
58
reversing the polarity of the two electrodes, leading to generation of a brine stream and restoration
59
of the electrodes (discharging/electrodesorption stage) (Porada et al. 2013a). The operating voltage
60
of the CDI is generally less than 1.5 V to prevent the electrolysis of water molecules, minimizing
61
the energy consumption (Garcia-Quismondo et al. 2016, Wang and Lin 2018a, Wu et al. 2017).
62
Meanwhile, when appropriately controlling the charging/discharging procedure, a high water
63
recovery rate (~90%) can be achieved, with a high-concentration and low-volume brine stream
64
generated (Bian et al. 2015). 3
65
Although the past two decades have seen tremendous advances and innovations in the CDI
66
field including cell architectures, electrode and membrane designs, experimental methods,
67
application broadening and fundamental processes (Faradaic and non-Faradaic reactions), less
68
effort has been paid to investigate fouling (Chen et al. 2018, Hassanvand et al. 2019, Liu et al.
69
2018, Wang et al. 2018) and scaling issues (Zhang et al. 2013), the study of which is highly
70
required before the wide application of CDI. It is unavoidable that groundwater may contain
71
excess compounds such as calcium, magnesium, iron and natural organic matter. Previous works
72
demonstrated that calcium and magnesium could cause serious scaling in reverse osmosis or
73
nanofiltration, leading to membrane flux reduction, permeate quality decline and membrane
74
system lifetime shortening (Cao et al. 2018, Goh et al. 2018, Warsinger et al. 2015). The ionic
75
concentrations near the membrane surface may exceed the critical solubility limit of soluble salts
76
due to the retention effect of nanofiltration (NO)/reverse osmosis (RO) membranes, causing the
77
in-situ crystallization (Benecke et al. 2018, Thompson et al. 2012). The formed crystal is deposited
78
on the membrane surface and results in the scaling and fouling of the NO/RO membrane. However,
79
the presence of calcium and magnesium in feedwater has a negligible influence on CDI
80
performance. It was reported that the adsorption and desorption of calcium and magnesium were
81
reversible (<5% retained on the electrode), with less than a 2% reduction in TDS removal
82
efficiency throughout a 30-hour continuous operation (Mossad and Zou 2013).
83
Iron, however, could be another potential threat for scaling of the CDI system. It is widely
84
known that iron is the fourth most abundant element (by mass), with its distribution on earth only
85
second to oxygen, silicon and aluminum (Khatri et al. 2017). Iron is mainly present in the divalent
86
form in groundwater due to the reducing environment of groundwater (Doggaz et al. 2018, Ellis et 4
87
al. 2000, Hamdouni et al. 2016, Michalakos et al. 1997). However, ferrous iron is liable to be
88
oxidized and converted into ferric iron when groundwater is in contacts with the air (Knocke et al.
89
1992, van Halem et al. 2012, Vries et al. 2017). Previous studies showed that when treating a
90
solution containing ferrous/ferric ions using CDI cells, nearly 30% of iron was observed to
91
accumulate on the carbon electrodes every operation cycle, resulting in significant deterioration
92
(~10%) in CDI treatment efficiency (Mossad and Zou 2013). However, the authors did not
93
investigate the electrolyte composition and fundamental mechanisms associated with the ferric ion
94
fouling and scaling phenomenon. Meanwhile, researches on the migration of iron ions in CDI, the
95
main components and formation mechanism of iron scale and the mechanism of CDI performance
96
degradation caused by iron scaling could provide theoretical guidance and research directions for
97
how to alleviate iron scaling in the CDI system.
98
In this study, we evaluated the effect of iron in brackish water on the desalination
99
performances of CDI system. The transformation of iron species, iron fouling and scaling
100
behaviors, the major component of iron foulants and the underlying scaling mechanisms were
101
thoroughly investigated via a wide range of tests and characterizations. In addition,
102
representative natural organic matter (NOM) such as humic acid (HA) and bovine serum
103
albumin (BSA) were used to further illustrate their synergistic effects with iron on the
104
desalination and fouling behavior.
105 106
5
107
2. Materials and methods
108
2.1. Reagents
109
Analytical reagent grade chemicals (NaCl and FeCl3) were obtained from Aladdin Chemical
110
(China). HA and BSA were purchased from Sigma-Aldrich (USA) as representatives of humic
111
substances and proteins, respectively. Artificial groundwater was prepared by dissolving 500 mg/L
112
NaCl in ultrapure water (18.2 MΩ/cm) produced by a Milli-Q purification system (Millipore,
113
U.S.A). To investigate fouling and scaling on CDI system, 1~10 mg/L FeCl3 and/or 1~10 mg/L
114
HA and BSA were added into the artificial solution.
115
2.2. Experimental setup
116
Activated carbon (YP-50F, Kuraray Chemical, USA), carbon black (BP-2000, Cabot, USA)
117
and PVDF (HSV900, Arkema, France) were mixed in an 8:1:1 ratio to prepare the electrodes. First,
118
activated carbon, carbon black, and PVDF were dissolved in N,N-dimethylacetamide under
119
ultrasonic conditions and then stirred in an 80 °C water bath to form a uniform coating slurry.
120
Finally, the slurry was applied to a titanium plate, which was placed in a 65 °C oven for 12 hours.
121
The experimental device consisted of a CDI system, a computer, a DC power supply
122
(HCP01-5B2, Yangzhou Huatai Electronics, China), a multimeter (VC 8246A, Victor, China) and
123
a conductivity meter (DDSJ-308F, Rex Electric Chemical, China), as presented in Fig. S1. The
124
CDI system is composed of two activated carbon electrodes (90×90 mm), a pair of glass support
125
plates (150×150×50 mm), a pair of titanium plates (200×150×1 mm), an insulating mesh (0.2 mm)
126
and silicone pads (0.5 mm). 6
127
The effect of Fe scaling on the CDI system were evaluated using a batch model experiment,
128
which included two processing stages, adsorption and desorption. In the adsorption stage, 100 ml
129
of NaCl solution containing different concentrations of FeCl3 was circulated in the CDI system for
130
20 min at 1.4 V DC. In the desorption stage, deionized water was used to clean the CDI system
131
under short circuit. The reaction solution was reconfigured after each cycle of the experiment. The
132
effect of NOM on the Fe scaling was illustrated by adding different concentrations of HA and BSA
133
to the reaction system. The concentration of ions was determined by inductively coupled plasma
134
optical emission spectrometry (ICP-OES, Perkin Elmer Optima 5300DV, USA).
135
The salt adsorption capacity (SAC) was calculated based on the following equation: =
136 137
(
)×
(1)
where C0 is the initial concentration of NaCl (mg/L), Cf is the final concentration of NaCl
138
(mg/L), V is the volume of solution (L) and m is the total mass of electrodes (g).
139
The charge efficiency (Λ) was calculated from following the equation:
140
=
×
(2)
×
141
where SAC is the salt adsorption capacity, F is the Faraday constant (96485 C/mol), M is the molar
142
mass of NaCl (58.5 g/mol) and
143
2.3. Analytical methods
is the current.
144
The Fe scale on the electrode was characterized by Raman spectroscopy (HORIBA HR
145
Evolution, France), X-ray photoelectron spectroscopy (XPS, Thermo Scientific K-Alpha, USA),
146
X-ray diffraction (XRD, Bruker D8 Advance, Germany), scanning electron microscopy (SEM,
147
FEI Quanta650, USA). The N2 sorption-desorption isotherms were used to investigate the pore 7
148
structure of electrode by a Micromeritics Brunauer–Emmett–Teller (BET) analyzer (ASAP 2020).
149
The specific surface area and microspore surface of electrode were analyzed by the BET and
150
T-plot methods, respectively. The pore size distribution was evaluated by quenched-solid density
151
functional theory. The resistance characteristics were illustrated by electrochemical impedance
152
spectroscopy (EIS), which were performed multiple times by a Metrohm Autolab potentiostat
153
(PARSTAT302N) in 1 M NaCl at room temperature. The frequency of the EIS measurement was
154
from 100 kHz to 0.01 Hz and the applied voltage was 5 mV open-circuit voltage (OCV). The EIS
155
data was fitted by Zview from Scribner Associates Inc. The capacitance characteristics of the CDI
156
were evaluated by cyclic voltammetry (CV). CV tests were performed in a two-electrode mode
157
(one electrode is 0.5 g), with the potential ranging from -1.4 to 1.4 V at a scan rate of 10 mV s−1.
158
The electrolyte was 1 M NaCl, whereas the temperature was controlled at 25 ℃. The specific
159
capacitance (Cs) was calculated according to the following equation:
160
=
∆
161
where
162
electrode and ∆U (V) is the window voltage.
163
3. Results and discussion
164
3.1. Effects of iron on CDI desalination performance
(3)
(A) is the response current, v (m/s) is the potential scan rate, m (g) is the mass of
165
The effects of Fe concentrations on CDI desalination performance were tested, and the results
166
are shown in Fig. 1. The salt adsorption capacity (SAC) of the CDI decreased throughout the
167
operating cycle. Meanwhile, higher Fe concentrations led to faster SAC deterioration. For instance, 8
168
when 1 mg/L Fe was presented in the influent groundwater, the SAC of CDI decreased from ~97%
169
to ~87% after a 5-cycle continuous operation, while when a higher Fe concentration (10 mg/L)
170
was used, the SAC showed a sharp decreasing from ~85% to ~70%. These results are similar to
171
previous studies, in which it was reported that CDI adsorption capacity dropped to 81% after 30
172
hours operation (Mossad and Zou 2013). In addition, the trend of charge efficiency was also
173
similar to that of SAC, decreasing form ~45% to ~35% as the Fe concentration increased from 0 to
174
10 mg/L (Fig. 1b). The formation of iron scale on the electrode might be responsible for the
175
decrease in the desalination performance of the CDI system.
176
Figure 1
177
3.2. Effects of iron and NOM combinations on CDI
178
desalination performance
179
To determine the combined effects of Fe and NOM on the CDI desalination performance,
180
brackish waters containing 1 mg/L Fe and different amounts and types of NOM (HA, BSA and
181
HA/BSA) were treated. As illustrated in Fig. 2, a synergistic negative effect was observed when
182
combining iron with various organic matter, with the SAC decreased with the increasing of initial
183
NOM concentration. More importantly, the ternary complex (i.e., Fe/HA/BSA) resulted in a more
184
severe decline in salt removal performance compared to that of the binary complex (i.e., Fe/HA
185
and Fe/BSA). For instance, the SAC decreased to 54% after five-cycle operation treating saline
186
water containing 1 mg/L Fe, 5 mg/L HA and 5 mg/L BSA, while lower reductions were found
187
when treating saline waters containing binary compounds (20.9% for Fe/HA and 41.6% for
188
Fe/BSA). 9
189
Regarding charge efficiency, it presented a decreasing trend as the number of cycles
190
increased. Meanwhile, a high concentration of NOM caused a more severe decline in charge
191
efficiency.
192
Figure 2
193
3.3. Fate and distribution of iron
194
3.3.1. Mass balance analysis
195
To clarify the cause of the decline in desalination performance of CDI induced by Fe, Fe
196
migration in the CDI system was investigated by measuring the Fe concentration in the effluent
197
and backwash. As shown in Fig. 3a, the iron that was removed from the electrode by backwashing
198
was scarce. The amount of desorption only accounted for a small portion of the adsorption amount,
199
and the proportion varied between 5% and 18%. The results indicated that the adsorbed Fe could
200
not be completely removed, and most of the adsorbed Fe accumulated on the electrode. This
201
process caused irreversible inorganic fouling of the CDI electrode, inducing a continuous decrease
202
in the desalination performance of the CDI system. This effect was consistent with the above
203
results of the desalination performance decreasing over time. Therefore, incomplete desorption of
204
iron was the main cause of CDI fouling caused by Fe. Moreover, the amount of iron desorption
205
decreased gradually with increasing numbers of operating cycles. This was mainly because that
206
the amount of iron adsorbed on the electrode per cycle decreased as the running time increased.
207
The deposition of Fe on the electrode in each cycle exhibited similar tendencies in the
208
concentration range investigated and decreased as the running time increased. At low initial
10
209
concentrations, the downward trend was gentle, whereas at high initial concentrations, the
210
downward trend became steep. The results were attributed to the Fe that had deposited on the
211
electrode hindered the adsorption of Fe in the solution on the electrode. In addition, as the initial
212
concentration of Fe increased, the proportion of iron that could be adsorbed by the electrode
213
decreased. Limited adsorption sites on the electrode were responsible for the phenomena.
214
The accumulated deposition amount exhibited an increasing trend as the Fe concentration
215
increased, as shown in Fig. 3b. Meanwhile, the accumulated deposition amount increased linearly
216
with time. The effluent of the CDI system was filtered by 0.45 µm membrane, and it formed a
217
yellow-brown deposit on the membrane. In addition, there was a significant change in the iron
218
concentration of the effluent before and after filtration. At 10 mg/L Fe3+, the iron concentration in
219
the effluent without membrane filtration was 5.933 mg/L, while the iron concentration after
220
membrane filtration was only 0.172 mg/L. The results showed that after CDI treatment, the iron in
221
the solution was almost completely in the form of insoluble iron compounds.
222
Figure 3
223
3.3.2. Correlation between iron scaling and desalination performance
224
decline
225
Based on the analysis in the previous section, it can be found that the presence of Fe in
226
groundwater caused irreversible fouling of the CDI electrode. The correlation between the amount
227
of Fe deposited on the CDI electrode and the desalination performance is shown in Fig. 4.
228
Obviously, more Fe precipitation led to more severe desalination deterioration. When the
229
precipitated amount of Fe increased from 0 to 1.2 mg/g, SAC decreased from 100% to ~66.5%. 11
230
Meanwhile, the specific SAC began to decrease rapidly as the deposition amount of Fe scaling
231
increased, and then, the downward trend became flat.
232
233
Figure 4
3.3.3. Effects of NOM on iron distribution
234
The effects of organic matter on Fe fate and distribution were investigated and are shown in
235
Figs S2-4. Interestingly, increasing the organic matter concentration in saline waters led to a
236
decline in the Fe precipitation on the carbon electrodes. Ferric chloride can be used as a coagulant,
237
and the following reactions may be occurred in the presence of HA: (1) Complexation reaction
238
between Fe3+ and dissolved HA; (2) Charge neutralization and precipitation of Fe-HA; (3)
239
Adsorption of iron oxyhydroxide by colloidal HA; and (4) Adsorption of HA by precipitation of
240
iron oxyhydroxide. Previous study also reported similar NOM and Fe removal mechanisms when
241
NOM and Fe coexisted in the feed streams (Davis and Edwards 2017). Under the abovementioned
242
series of reactions, an insoluble complex of Fe-HA was finally formed. Obvious brown-yellow
243
flocs were observed after the CDI effluent was settled for a while. These flocs contained a large
244
amount of Fe. Hence, the Fe scaling on the electrode was prevented by the interaction between Fe
245
and HA, resulting in a decrease in the precipitation of Fe on the electrode. Additionally, the
246
interaction became stronger as the HA concentration increased, further reducing the adsorption of
247
Fe on the electrode. However, the HA precipitation on the electrode exacerbated the irreversible
248
fouling of the CDI.
249
As a protein substance in NOM, BSA also reacted with ferric iron in the four reactions
250
mentioned. This process could induce aggregation of BSA and formation of Fe-BSA colloid 12
251
complexes, resulting in a reduction in the Fe precipitation. This result was consistent with
252
previous studies that demonstrated the aggregation of BSA and formation of the Fe-BSA complex
253
by dynamic light scattering. However, it can be found that the coexistence of Fe and BSA could
254
not produce any obvious precipitate while the coexistence of Fe and HA caused brown-yellow
255
flocs. This difference was attributed to the narrow molecular weight of BSA, leading to the
256
formation of smaller floc (Cheng et al. 2017, Hao et al. 2013). Compared with that in the
257
combination of Fe and HA, the micro-flocs in the combination of Fe and BSA reduced the capture
258
of Fe. Moreover, the adsorption of Fe by BSA was weaker than that by HA (Mizuno et al. 2005).
259
Hence, the Fe adsorption on the electrode in the presence of Fe and BSA was greater than that in
260
the presence of Fe and HA.
261
The precipitation of Fe in the presence of Fe, HA and BSA was greater than that in the
262
presence of Fe and BSA, while it was less than that in the presence of Fe and HA. The strong
263
interaction between HA and Fe could further hinder the adsorption of Fe on the electrode
264
compared with that for Fe and BSA. However, BSA was encapsulated by HA under electrostatic
265
force (Tan et al. 2009), resulting in a decrease in the capture of Fe.
266
3.4. Fouling and Scaling Characterization
267
3.4.1. Form of iron scaling
268
After treatment of the iron-containing salt solution, the surface of the cathode was covered
269
with a layer of yellow substance (Fig. S5a) while the anode remained unchanged. This
270
phenomenon was mainly due to Fe3+ moving toward the cathode in the electric field. At the same
13
271
time, a yellow-brown layer remained on the 0.45 µm membrane after filtering the CDI effluent
272
(Fig. S5b). To further identify the phases of Fe scale on the electrode and precipitation on the
273
microfiltration membrane, the Raman spectral analysis was performed. As shown in Fig. S6a,
274
sharp peaks appeared at 219.9, 286.4, 403.4, 488.1 and 605.1 cm-1, demonstrating that Fe2O3 was
275
formed on the CDI cathode (Binitha et al. 2013, Jian et al. 2014, Lu et al. 2014). However, for the
276
residue on the filtration membrane, FeOOH was shown to exist due to the appearance of peaks
277
such as those of 382 and 477 cm-1 (Hanesch 2009, Spray and Choi 2009), and Fe2O3 was also
278
generated based on the peaks at 211, 274 and 1277 cm-1. Previous study also reported similar
279
findings that the FeOOH could be converted into Fe2O3 under the action within the electrostatic
280
force (Meng et al. 2016). Therefore, the transformation of Fe in the CDI system can be described
281
as follows (Meng et al. 2016, Song et al. 2018), while the carbon oxidation reactions are on-going
282
at the anode (He et al. 2016, Zhang et al. 2018, 2019):
283
Cathode:
284
4Fe3+ + 3O2 + 12e- → 2Fe2O3
285
2H+ + O2 + 2e- → H2O2
(5)
286
H2O2 + 2H+ + 2e- → 2H2O
(6)
(4)
287 288
Anode:
289
C + H2O → C=O + 2H+ + 2e-
(7)
290
C + H2O → C-OH + H+ + e-
(8)
291
C + 2H2O → CO2 + 4H+ + 4e-
(9)
292
Solution: 14
293
Fe3+ + 3OH- → FeOOH + H2O
(10)
294
2FeOOH → Fe2O3 + H2O
(11)
295
XPS was then carried out to study the elemental compositions and valences of the Fe species
296
(Fig. S7). The XPS survey spectrum of both samples confirmed the existence of Fe, and O
297
elements (Fig. S7a). In the Fe 2p core level XPS spectra of Fe scale, Fe 2p3/2 and 2p1/2 peaks were
298
located at 711.2 and 724.7 eV (Fig. S7b), respectively, which was characteristic of Fe3+ (Lu et al.
299
2014, Quan et al. 2016). Meanwhile, a satellite peak centered at 719.9 eV further confirmed the
300
existence of Fe3+. The precipitate revealed similar XPS results (Wei et al. 2017). In addition, three
301
peaks were observed in the O 1s spectrum of the precipitation sample (Fig. S7c). The peaks
302
located at 529.6 eV corresponded to Fe-O-Fe, while the peak centered at 531.2 eV was attributed
303
to Fe-O-H, which indicated the presence of FeOOH. Previous research reported similar results
304
when analysis the electrodeposition of Fe2O3 on electrodes (Song et al. 2018). The last peak at
305
533.3 eV was associated with adsorbed water (Chen et al. 2016). Additionally, the XRD patterns
306
of the samples were recorded to characterize the crystal structures. As shown in Fig. S8, no
307
obvious peaks were observed in either samples, indicating that the samples were amorphous (Chen
308
et al. 2016, Song et al. 2018), similar to previous results which shown a hump in the XRD patterns
309
of the amorphous FeOOH.
310
The morphology of the Fe scale on the electrode was analyzed by SEM. Three samples of
311
complete scaling, partial scaling and raw electrode were selected, with SEM images shown in Fig.
312
5. Compared with the surface of the raw electrode, it can be clearly seen that the fouled electrode
313
surfaces were covered by a layer of iron scale. The precipitation of iron scale hindered the access
314
of ion for transport and reduced the adsorption sites on the electrode, resulting in a decrease in 15
315 316
317
desalination performance. Figure 5
3.4.2 Variations in electrode pore structure after fouling
318
To investigate the effect of Fe scaling on the specific surface area and pore distribution of
319
the electrode, N2 sorption-desorption isotherms were analyzed. As shown in Fig. 6a, N2 uptake
320
mainly occurred in the relatively low-pressure range, indicated that all electrodes had abundant
321
micropores with a typical type I isotherm for the N2 sorption-desorption curve (Tang et al. 2017).
322
The surface areas that were calculated according to the N2 sorption-desorption isotherms are
323
presented in Fig. 6b. Compared with those of the raw electrode, the decline in specific surface area
324
and micropore surface area of the Fe-scaled electrode were 104.76 and 88.84 m2/g, respectively,
325
with the decrease in micropore surface area contributing to 84.8% of the total decrease. These
326
results further revealed that the decrease of electrode performance was mainly due to the blocking
327
of micropores and reduction in accessible adsorption sites after Fe fouling.
328
After addition of organic matter to the influent, the specific surface area of the electrode
329
further decreased. The reduction in the specific surface area of Fe-HA, Fe-BSA, and Fe-HA-BSA
330
was 14.3, 14.6 and 24.53% higher than that of Fe alone, respectively. This result indicated that not
331
only Fe scale but also organic matter was present on the electrode. However, there was almost no
332
difference in the micropore surface area of the fouled electrode under different conditions. This
333
phenomenon may be attributed to pore size limitation and most of the micropores were not
334
suitable for electrode foulants to enter. A similar conclusion was obtained by analyzing the pore
335
size distribution of the electrode (Fig. S9). All fouled electrodes presented an analogous pore size 16
336
distribution, and the majority of micropores were not blocked by electrode foulants.
337
Figure 6
338
3.4.3 Electrochemical characterization
339
Electrochemical impedance spectroscopy (EIS). The impact of Fe scaling on the CDI resistance
340
was investigated by EIS analysis, and the results are presented in Fig. 7. The curves of all samples
341
contained a high-frequency semicircle loop and a low-frequency sloped line, and the results was
342
consistent with the study of Luo (Luo et al. 2018). The intercept on the x-axis of the curves
343
represented the series resistance (Rs), which included the intrinsic resistance of the salt solution,
344
the current collector, the electrodes and the any wires(Qu et al. 2015). The semicircle loop in the
345
high frequency was attributed to ion accumulation on the interface of electrode and electrolyte,
346
which was the parallel connection of the charge transfer resistance (Rct) and the electric double
347
layer capacitor (C1), and the diameter of the semicircle loop indicated value of Rct
348
(Mendoza-Hernandez et al. 2014). The sloped line in the low frequency was a Warburg
349
impendence, indicating the diffusion of ions in the pores of the electrode. The ion diffusion
350
property was assessed by Warburg coefficient, which was equal to the slope of the Randle plot in
351
the low frequency region (Min et al. 2018).
352
The component of the internal resistance was obtained by fitting the EIS plot according to the
353
equivalent circuit, and Fig. 7b presents the resistance of all samples. The Rs of the raw electrode
354
was 0.072 Ω, considerably smaller than that of the electrode fouled by Fe (0.091 Ω). The results
355
indicated that Fe scaling induced an increase in the intrinsic resistance of the electrode, resulting
356
in a decline in the conductivity of the electrode. Compared with the value of raw electrode (0.074 17
357
Ω), the Rct of the electrode fouled by Fe was increased by 145%. The intrinsic resistivity of the
358
electrode and the contact area between the electrode and the reaction solution are two factors that
359
affect the charge transfer resistance of the CDI (Cheng et al. 2011). Fe scaling reduced the specific
360
surface area of the electrode by blocking pores, resulting in a decline in contact area between the
361
electrode and the reaction solution. On the other hand, the intrinsic resistivity of the electrode was
362
improved by Fe scaling. The Warburg coefficient of the electrode fouled by Fe increased from
363
0.0167 (raw electrode) to 0.0271 Ω/s-1/2, demonstrating that Fe scaling hindered the migration of
364
ions in the electrode. The addition of NOM resulted in an increase in the internal resistance of CDI
365
compared to that with a single Fe scaling. The Rs and Rct of the CDI fouled by Fe-HA, Fe-BSA
366
and Fe-HA-BSA increased by 48.7%, 59.5%, 97.5% and 267%, 339%, 639%, respectively. In
367
addition, NOM further decreased the rate of ion diffusion. The Warburg coefficient of the
368
electrode fouled by Fe-HA, Fe-BSA and Fe-HA-BSA increased from 0.0271 to 0.0363, 0.0509
369
and 0.0858 Ω/s-1/2, respectively.
370
Figure 7
371
Cyclic voltammetry (CV). CV measurements can be used to evaluate the capacity of ion
372
accumulation at the electrode/electrolyte interface. As shown in Fig. 8, the CV curves exhibited a
373
nearly rectangular shape without obvious redox peaks, demonstrating the ideal capacitive behavior
374
of CDI electrodes(Tang et al. 2017). The area of the closed curves decreased when fouling and
375
scaling formed on the electrodes, with the synergetic combination of Fe, HA and BSA fouling
376
resulting in the smallest area. Fig. 8(b) shows the specific capacitance of the electrode calculated
377
according to Eq (3). Compared with that of the raw electrode, the specific capacitance of the
378
Fe-fouled electrode was reduced by 15%. The capacitance of the CDI was affected by the specific 18
379
surface area of the electrode and the conductivity of the electrode(Wang et al. 2014). Fe scaling
380
decreased the specific surface area and caused a reduction in the contact area between the
381
electrode and the solution, resulting in the loss of capacitance. Moreover, the conductivity of the
382
CDI was decreased by Fe scaling, thereby hindering ion accumulation on the electrode. When HA
383
and/or BSA were presented in the electrolyte, the specific capacitance of the CDI fouled by Fe-HA,
384
Fe-BSA and Fe-HA-BSA decreased by 30%, 36% and 55% compared to that of the CDI fouled by
385
Fe only. The precipitation of NOM reduced the ion accumulation. These results, however, are not
386
surprising, as we demonstrated in previous section that Fe/NOM related species would block the
387
carbon surface and micropores, leading to a lower electrode capacitance.
388
389
Figure 8
4. Conclusions
390
This study investigated the fouling and scaling behavior in a CDI module when treating
391
brackish water containing Fe. The causes and main component of Fe scaling were revealed, which
392
could provide a theoretical guidance for relieving Fe scaling in CDI systems. The major
393
conclusions in the study are:
394
(i) The presence of Fe caused a significant decrease in CDI performances, with salt adsorption
395
capacity decreased 31% and charge efficiency reduced 25%.
396
(ii) The deteriorated performances were mainly attributed to Fe scaling of the carbon electrodes.
397
Fe2O3 precipitation was proved to be the predominant foulant. which blocked the micropores of
398
the carbon electrodes and prevented the ion transportation into the microspores, resulting in lower
19
399
surface areas and capacitance, as well as elevated electric resistances of the carbon electrodes.
400
(iii) While the presence of NOMs alleviated the Fe scaling through NOM-Fe complexing effects,
401
NOMs themselves were found to have negative impacts on CDI desalination performance due to
402
their strong interactions with the carbon electrodes.
403
(iv) These foulants were irreversible, and cannot be removed by backwash once formed on the
404
CDI electrodes.
405
Acknowledgements
406
This research was jointly supported by the National Key R&D Program of China
407
(2018YFC0408001), the National Natural Science Foundation of China (51778170), the State Key
408
Laboratory of Urban Water Resource and Environment (2019DX01) and Fundamental Research
409
Funds for the Central Universities.
410
References
411 412 413 414 415 416 417 418 419 420 421 422 423 424 425
AlMarzooqi, F.A., Al Ghaferi, A.A., Saadat, I. and Hilal, N. (2014) Application of Capacitive Deionisation in water desalination: A review. Desalination 342, 3-15. Benecke, J., Haas, M., Baur, F. and Ernst, M. (2018) Investigating the development and reproducibility of heterogeneous gypsum scaling on reverse osmosis membranes using real-time membrane surface imaging. Desalination 428, 161-171. Bian, Y., Yang, X., Liang, P., Jiang, Y., Zhang, C. and Huang, X. (2015) Enhanced desalination performance of membrane capacitive deionization cells by packing the flow chamber with granular activated carbon. Water Research 85, 371-376. Binitha, G., Soumya, M.S., Madhavan, A.A., Praveen, P., Balakrishnan, A., Subramanian, K.R.V., Reddy, M.V., Nair, S.V., Nair, A.S. and Sivakumar, N. (2013) Electrospun α-Fe2O3 nanostructures for supercapacitor applications. Journal of Materials Chemistry A 1(38), 11698-11704. Cao, B., Ansari, A., Yi, X., Rodrigues, D.F. and Hu, Y. (2018) Gypsum scale formation on graphene oxide modified reverse osmosis membrane. Journal of Membrane Science 552, 132-143. Chen, J., Xu, J., Zhou, S., Zhao, N. and Wong, C.-P. (2016) Amorphous nanostructured FeOOH and Co–Ni double hydroxides for high-performance aqueous asymmetric supercapacitors. Nano Energy 21, 20
426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468
145-153. Chen, L., Wang, C., Liu, S., Hu, Q., Zhu, L. and Cao, C. (2018) Investigation of the long-term desalination performance of membrane capacitive deionization at the presence of organic foulants. Chemosphere 193, 989-997. Cheng, Q., Tang, J., Ma, J., Zhang, H., Shinya, N. and Qin, L.-C. (2011) Graphene and nanostructured MnO2 composite electrodes for supercapacitors. Carbon 49(9), 2917-2925. Cheng, X., Liang, H., Ding, A., Tang, X., Liu, B., Zhu, X., Gan, Z., Wu, D. and Li, G. (2017) Ferrous iron/peroxymonosulfate oxidation as a pretreatment for ceramic ultrafiltration membrane: Control of natural organic matter fouling and degradation of atrazine. Water Research 113(Supplement C), 32-41. Davis, C.C. and Edwards, M. (2017) Role of Calcium in the Coagulation of NOM with Ferric Chloride. Environmental Science & Technology 51(20), 11652-11659. Doggaz, A., Attour, A., Le Page Mostefa, M., Tlili, M. and Lapicque, F. (2018) Iron removal from waters by electrocoagulation: Investigations of the various physicochemical phenomena involved. Separation and Purification Technology 203, 217-225. Elimelech, M. and Phillip, W.A. (2011) The Future of Seawater Desalination: Energy, Technology, and the Environment. Science 333(6043), 712-717. Ellis, D., Bouchard, C. and Lantagne, G. (2000) Removal of iron and manganese from groundwater by oxidation and microfiltration. Desalination 130(3), 255-264. Garcia-Quismondo, E., Santos, C., Soria, J., Palma, J. and Anderson, M.A. (2016) New Operational Modes to Increase Energy Efficiency in Capacitive Deionization Systems. Environmental Science & Technology 50(11), 6053-6060. Ghaffour, N., Missimer, T.M. and Amy, G.L. (2013) Technical review and evaluation of the economics of water desalination: Current and future challenges for better water supply sustainability. Desalination 309, 197-207. Goh, P.S., Lau, W.J., Othman, M.H.D. and Ismail, A.F. (2018) Membrane fouling in desalination and its mitigation strategies. Desalination 425, 130-155. Hamdouni, A., Montes-Hernandez, G., Tlili, M., Findling, N., Renard, F. and Putnis, C.V. (2016) Removal of Fe(II) from groundwater via aqueous portlandite carbonation and calcite-solution interactions. Chemical Engineering Journal 283, 404-411. Hanesch, M. (2009) Raman spectroscopy of iron oxides and (oxy)hydroxides at low laser power and possible applications in environmental magnetic studies. Geophysical Journal International 177(3), 941-948. Hao, Y., Moriya, A., Ohmukai, Y., Matsuyama, H. and Maruyama, T. (2013) Effect of metal ions on the protein fouling of hollow-fiber ultrafiltration membranes. Separation and Purification Technology 111, 137-144. Hassanvand, A., Chen, G.Q., Webley, P.A. and Kentish, S.E. (2019) An investigation of the impact of fouling agents in capacitive and membrane capacitive deionisation. Desalination 457, 96-102. He, D., Wong, C.E., Tang, W., Kovalsky, P. and Waite, T.D. (2016) Faradaic Reactions in Water Desalination by Batch-Mode Capacitive Deionization. Environmental Science & Technology Letters 3(5), 222-226. Jian, Z., Zhao, B., Liu, P., Li, F., Zheng, M., Chen, M., Shi, Y. and Zhou, H. (2014) Fe2O3 nanocrystals anchored onto graphene nanosheets as the anode material for low-cost sodium-ion batteries. Chemical Communications 50(10), 1215-1217. 21
469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511
Khatri, N., Tyagi, S. and Rawtani, D. (2017) Recent strategies for the removal of iron from water: A review. Journal of Water Process Engineering 19, 291-304. Knocke, W.R., Conley, L. and Van Benschoten, J.E. (1992) Impact of dissolved organic carbon on the removal of iron during water treatment. Water Research 26(11), 1515-1522. Liu, X., Whitacre, J.F. and Mauter, M.S. (2018) Mechanisms of Humic Acid Fouling on Capacitive and Insertion Electrodes for Electrochemical Desalination. Environmental Science & Technology. Lu, X., Zeng, Y., Yu, M., Zhai, T., Liang, C., Xie, S., Balogun, M.S. and Tong, Y. (2014) Oxygen‐ Deficient Hematite Nanorods as High‐Performance and Novel Negative Electrodes for Flexible Asymmetric Supercapacitors. Advanced Materials 26(19), 3148-3155. Luo, G., Wang, Y., Gao, L., Zhang, D. and Lin, T. (2018) Graphene bonded carbon nanofiber aerogels with high capacitive deionization capability. Electrochimica Acta 260, 656-663. Mendoza-Hernandez, O.S., Ishikawa, H., Nishikawa, Y., Maruyama, Y., Sone, Y. and Umeda, M. (2014) State of Charge Dependency of Graphitized-Carbon-Based Reactions in a Lithium-ion Secondary Cell Studied by Electrochemical Impedance Spectroscopy. Electrochimica Acta 131, 168-173. Meng, Q., Wang, Z., Chai, X., Weng, Z., Ding, R. and Dong, L. (2016) Fabrication of hematite (α-Fe2O3) nanoparticles using electrochemical deposition. Applied Surface Science 368, 303-308. Michalakos, G.D., Nieva, J.M., Vayenas, D.V. and Lyberatos, G. (1997) Removal of iron from potable water using a trickling filter. Water Research 31(5), 991-996. Min, B., Choi, J.-H. and Jung, K. (2018) Improvement of capacitive deionization performance via using a Tiron-grafted TiO nanoparticle layer on porous carbon electrode. Korean Journal of Chemical Engineering 35(1), 272. Mizuno, C., Bao, S., Hinoue, T. and NOMURA, T. (2005) Adsorption behavior of metal ions onto a bovine serum albumin (BSA) membrane monitored by means of an electrode-separated piezoelectric quartz crystal. Analytical sciences 21(3), 281-286. Mossad, M. and Zou, L. (2013) Study of fouling and scaling in capacitive deionisation by using dissolved organic and inorganic salts. Journal of Hazardous Materials 244-245, 387-393. Porada, S., Borchardt, L., Oschatz, M., Bryjak, M., Atchison, J.S., Keesman, K.J., Kaskel, S., Biesheuvel, P.M. and Presser, V. (2013a) Direct prediction of the desalination performance of porous carbon electrodes for capacitive deionization. Energy & Environmental Science 6(12), 3700-3712. Porada, S., Zhao, R., van der Wal, A., Presser, V. and Biesheuvel, P.M. (2013b) Review on the science and technology of water desalination by capacitive deionization. Progress in Materials Science 58(8), 1388-1442. Qu, Y., Baumann, T.F., Santiago, J.G. and Stadermann, M. (2015) Characterization of Resistances of a Capacitive Deionization System. Environmental Science & Technology 49(16), 9699-9706. Quan, H., Cheng, B., Xiao, Y. and Lei, S. (2016) One-pot synthesis of α-Fe2O3 nanoplates-reduced graphene oxide composites for supercapacitor application. Chemical Engineering Journal 286, 165-173. Schwarzenbach, R.P., Egli, T., Hofstetter, T.B., Gunten, U.v. and Wehrli, B. (2010) Global Water Pollution and Human Health. Annual Review of Environment and Resources 35(1), 109-136. Sheikholeslami, R. (2009) Strategies for future research and development in desalination – Challenges ahead. Desalination 248(1), 218-224. Song, Y., Lu, X., Deng, P., Hu, W., Sun, Z., Liu, X.-X. and Sun, X. (2018) Morphology engineering of electro-deposited iron oxides for aqueous rechargeable Ni/Fe battery applications. Chemical 22
512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554
Engineering Journal 354, 672-679. Spray, R.L. and Choi, K.-S. (2009) Photoactivity of Transparent Nanocrystalline Fe2O3 Electrodes Prepared via Anodic Electrodeposition. Chemistry of Materials 21(15), 3701-3709. Subramani, A. and Jacangelo, J.G. (2015) Emerging desalination technologies for water treatment: A critical review. Water Research 75, 164-187. Suss, M.E., Porada, S., Sun, X., Biesheuvel, P.M., Yoon, J. and Presser, V. (2015) Water desalination via capacitive deionization: what is it and what can we expect from it? Energy & Environmental Science 8(8), 2296-2319. Tan, W.F., Koopal, L.K. and Norde, W. (2009) Interaction between Humic Acid and Lysozyme, Studied by Dynamic Light Scattering and Isothermal Titration Calorimetry. Environmental Science & Technology 43(3), 591-596. Tang, K., Chang, J., Cao, H., Su, C., Li, Y., Zhang, Z. and Zhang, Y. (2017) Macropore- and Micropore-Dominated Carbon Derived from Poly(vinyl alcohol) and Polyvinylpyrrolidone for Supercapacitor and Capacitive Deionization. Acs Sustainable Chemistry & Engineering 5(12), 11324-11333. Thompson, J., Lin, N., Lyster, E., Arbel, R., Knoell, T., Gilron, J. and Cohen, Y. (2012) RO membrane mineral scaling in the presence of a biofilm. Journal of Membrane Science 415-416, 181-191. van Halem, D., Moed, D.H., Verberk, J.Q.J.C., Amy, G.L. and van Dijk, J.C. (2012) Cation exchange during subsurface iron removal. Water Research 46(2), 307-315. Vries, D., Bertelkamp, C., Schoonenberg Kegel, F., Hofs, B., Dusseldorp, J., Bruins, J.H., de Vet, W. and van den Akker, B. (2017) Iron and manganese removal: Recent advances in modelling treatment efficiency by rapid sand filtration. Water Research 109, 35-45. Wang, H., Shi, L., Yan, T., Zhang, J., Zhong, Q. and Zhang, D. (2014) Design of graphene-coated hollow mesoporous carbon spheres as high performance electrodes for capacitive deionization. Journal of Materials Chemistry A 2(13), 4739-4750. Wang, L. and Lin, S. (2018a) Intrinsic tradeoff between kinetic and energetic efficiencies in membrane capacitive deionization. Water Research 129, 394-401. Wang, L. and Lin, S. (2018b) Membrane Capacitive Deionization with Constant Current vs Constant Voltage Charging: Which Is Better? Environmental Science & Technology 52(7), 4051-4060. Wang, Z., Wang, Y., Ma, D., Xu, S. and Wang, J. (2018) Investigations on the fouling characteristics of ion-doped polypyrrole/carbon nanotube composite electrodes in capacitive deionization by using half cycle running mode. Separation and Purification Technology 192, 15-20. Warsinger, D.M., Swaminathan, J., Guillen-Burrieza, E., Arafat, H.A. and Lienhard V, J.H. (2015) Scaling and fouling in membrane distillation for desalination applications: A review. Desalination 356, 294-313. Wei, Y., Ding, R., Zhang, C., Lv, B., Wang, Y., Chen, C., Wang, X., Xu, J., Yang, Y. and Li, Y. (2017) Facile synthesis of self-assembled ultrathin α-FeOOH nanorod/graphene oxide composites for supercapacitors. Journal of Colloid and Interface Science 504, 593-602. Wu, T., Wang, G., Dong, Q., Zhan, F., Zhang, X., Li, S., Qiao, H. and Qiu, J. (2017) Starch Derived Porous
Carbon
Nanosheets
for
High-Performance
Photovoltaic
Capacitive
Deionization.
Environmental Science & Technology 51(16), 9244-9251. Zhang, C., He, D., Ma, J., Tang, W. and Waite, T.D. (2018) Faradaic reactions in capacitive deionization (CDI) - problems and possibilities: A review. Water Research 128, 314-330. 23
555 556 557 558
Zhang, C., He, D., Ma, J., Tang, W. and Waite, T.D. (2019) Comparison of faradaic reactions in flow-through and flow-by capacitive deionization (CDI) systems. Electrochimica Acta 299, 727-735. Zhang, W., Mossad, M. and Zou, L. (2013) A study of the long-term operation of capacitive deionisation in inland brackish water desalination. Desalination 320, 80-85.
559
24
Salt adsorption capacity reduction (%)
a
105 100 95 90 85 80 0mg/L Fe 1mg/L Fe 2.5mg/L Fe 5mg/L Fe 10mg/L Fe
75 70 65 1
2
3
4
5
Cycle number
b
50 0 mg/L Fe 5 mg/L Fe
Charge efficiency (%)
48
1 mg/L Fe 10 mg/L Fe
2.5 mg/L Fe
46 44 42 40 38 36 34 32 30 1
2
3
4
5
Cycle number Fig. 1. Effect of Fe on CDI performance: (a) salt adsorption capacity, (b) charge efficiency.
1
100
b
1mg/L Fe+1mg/L HA 1mg/L Fe+2.5mg/L HA 1mg/L Fe+5mg/L HA 1mg/L Fe+10mg/L HA
95
46 1 mg/L Fe+1 mg/L HA 1 mg/L Fe+5 mg/L HA
44
90
Charge efficiency (%)
Salt adsorption capacity reduction (%)
a
85 80 75 70
1 mg/L Fe+2.5 mg/L HA 1 mg/L Fe+10 mg/L HA
42 40 38 36 34 32
65
30
60
1
1
2
3
4
2
5
c
4
5
d
100
1mg/L Fe+1mg/L BSA 1mg/L Fe+2.5mg/L BSA 1mg/L Fe+5mg/L BSA 1mg/L Fe+10mg/L BSA
95 90
1 mg/L Fe+1 mg/L BSA 1 mg/L Fe+2.5 mg/L BSA
44
85 80 75 70
40 38 36 34 32
65
30
60
28 1
55 1
2
3
4
1 mg/L Fe+2.5 mg/L BSA 1 mg/L Fe+10 mg/L BSA
42
Charge efficiency (%)
Salt adsorption capacity reduction (%)
3
Cycle number
Cycle number
2
3
4
5
Cycle number
5
Cycle number
e
f 1mg/L Fe+1.25mg/L HA+1.25mg/L BSA 1mg/L Fe+2.5mg/L HA+2.5mg/L BSA 1mg/L Fe+5mg/L HA+5mg/L BSA
90
42 1 mg/L Fe+1.25 mg/L HA+1.25 mg/L BSA 1 mg/L Fe+2.5 mg/L HA+2.5 mg/L BSA 1 mg/L Fe+5 mg/L HA+5 mg/L BSA
40
Charge efficiency (%)
Salt adsorption capacity reduction (%)
100
80
70
60
50
38 36 34 32 30 28 26 24
40
1
1
2
3
4
5
2
3
4
5
Cycle number
Cycle number
Fig. 2. Effect of Fe-NOM combination on the salt adsorption capacity and charge efficiency of CDI: (a-b) Fe-HA, (c-d) Fe-BSA, (e-f) Fe-HA-BSA.
2
a Fe distribution (%)
100 1mg/L residue 2.5mg/L residue 5mg/L residue 10mg/L residue
80
60
1mg/L desorption 2.5mg/L desorption 5mg/L desorption 10mg/L desorption
40 1mg/L precipitation 2.5mg/L precipitation 5mg/L precipitation 10mg/L precipitation
20
0 1
2
3
4
5
Cycle number
Accumulated precipitation amount (mg/g)
b 1.2
1mg/L Fe 2.5mg/L Fe 5mg/L Fe 10mg/L Fe
1.0
1mg/L Fe 2.5mg/L Fe 5mg/L Fe 10mg/L Fe
0.8 0.6 0.4 0.2 0.0 1
2
3
4
5
Cycle number Fig. 3. Mass balance of Fe in single Fe3+ solution: (a) mass distribution of iron in effluent, backwash fluid and electrodes, (b) accumulated precipitation amount of Fe in electrode.
3
Specific salt adsorption capacity
1.00 0.95 0.90 0.85 0.80 0.75 0.70 0.65 0.0
0.2
0.4
0.6
0.8
1.0
1.2
Fe deposited on electrode (mg/g)
Fig. 4. The effect of Fe scaling on the desalination performance of the CDI
Fig. 5. SEM images of Fe scale on the electrode: (a-c) full coverage, (d-f) partial coverage, (g-i) raw electrode. 4
a 550 Raw electrode 1mg/L Fe 1mg/L Fe+2.5mg/L HA 1mg/L Fe+2.5mg/L BSA 1mg/L Fe+1.25mg/L HA+1.25mg/L BSA
Volumn absorbed @ STP (cm3/g)
500 450 400 350 300 250 200 150 0.0
0.2
0.4
0.6
0.8
1.0
Relative pressure (P/P0)
b
1430 1425 1420 1320
Specific surface area Micropore surface area External surface area
Surface area (m2/g)
1315 1310 1305 1300 1295 1290 1000 800 600 400 200 0 Raw electrode
Fe
Fe-HA
Fe-BSA
Fe-HA-BSA
Fig. 6. Pore structure of electrode: (a) N2 sorption-desorption isotherm, (b) Surface area. 5
a 1mg/L Fe+1.25mg/L HA+1.25mg/L BSA 1.1 1mg/L Fe+2.5mg/L BSA 1.0 1mg/L Fe+2.5mg/L HA 0.9 0.8 1mg/L Fe 0.7 1.0M NaCl 0.6
0.0858
Zreal ( Ω)
1.4
1.2
0.0509 0.0363
0.5
-Zim ( Ω)
1.0
0.0271
0.4 0.3
Slope=0.0167
0.2 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5
ω-1/2 (s-1/2)
0.8
0.6
0.4
0.2
0.0 0.0
0.2
0.4
0.6
b
1.0
1.2
1.4
0.0040 Raw electrode Fe Fe-HA Fe-BSA Fe-HA-BSA
0.5
e
0.0035
a
0.0030 0.0025
0.4
d
0.2
0.1
0.0020
c
0.3
a b
c c
b
b
d
0.0015
bc cd
a
d
Capacitance (F)
0.6
Resistance (Ω)
0.8
Zreal ( Ω)
0.0010 0.0005
0.0
0.0000 Rs
Rct
C1
Fig. 7. Electrochemical impedance spectroscopy of CDI: (a) Nyquist plot; (b) electrochemical parameters. Lowercase letters represent the significant difference within the group and these significant differences were analyzed by post hoc Tukey's test (n=5) (p<0.05).
6
a 0.8 1mg Fe+1.25mg/L HA+1.25mg/L BSA 1mg/L Fe+2.5mg/L BSA 1mg/L Fe+2.5mg/L HA 1mg/L Fe 1.0M NaCl
0.6 0.4
Current (A)
0.2 0.0 -0.2 -0.4 -0.6 -0.8 -1.6
-1.2
-0.8
-0.4
0.0
0.4
0.8
1.2
1.6
Potential applied (V)
Specific capacitiance (F/g)
b
80
60
40
20 Raw electrode
Fe
Fe-HA
Fe-BSA
Fe-HA-BSA
Fig. 8. Capacitance characteristic of electrode: (a) Cyclic voltammetry curves, (b) specific capacitance before and after fouling.
7
Highlights
Iron scaling caused a significant decrease in desalination performances of CDI. Fe2O3 was the predominant component of iron scale. CDI fouled suffered from resistance increasing and capacitance losing. NOM reduced precipitation of Fe on electrodes due to coagulation effect.
Declaration of interests ☒The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. ☐The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: