Accepted Manuscript Bioleaching of heavy metals from sewage sludge with recirculation of the liquid phase: A mass balance model Oleksiy Marchenko, Viktor Demchenko, Galina Pshinko PII: DOI: Reference:
S1385-8947(18)30998-7 https://doi.org/10.1016/j.cej.2018.05.174 CEJ 19190
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Chemical Engineering Journal
Please cite this article as: O. Marchenko, V. Demchenko, G. Pshinko, Bioleaching of heavy metals from sewage sludge with recirculation of the liquid phase: A mass balance model, Chemical Engineering Journal (2018), doi: https://doi.org/10.1016/j.cej.2018.05.174
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Bioleaching of heavy metals from sewage sludge with recirculation of the liquid phase: A mass balance model Oleksiy Marchenko∗, Viktor Demchenko, Galina Pshinko A.V. Dumansky Institute of Colloid and Water Chemistry, National Academy of Sciences of Ukraine, Acad. Vernadsky blvd. 42, Kyiv 03680, Ukraine
Abstract Bioleaching of heavy metals from sewage sludge is an effective method for decontamination of sewage sludge. The process is currently under active investigation for its improvement of sewage sludge dewatering. The bioleaching with recirculation of the liquid and solid phases of sewage sludge is of considerable interest for the development of the bioleaching method itself, and for deeper investigation of its influence on the sludge dewatering. This work presents and verifies a mass balance model of elements for bioleaching of heavy metals from sewage sludge by indigenous iron-oxidizing bacteria with recirculation of the liquid phase of the treated sludge. Good correspondence between the model predictions and the performed experiments gives ground for further development of the model to describe substances that are not conserved during the bioleaching, especially extracellular polymeric substances that impede sewage sludge dewatering. The mass balance model is presented in a form that also describes recirculation of the solid phase of sewage sludge during the bioleaching. Recirculation of the liquid and solid phases of sewage sludge during the bioleaching, together with the mass balance model, give useful tools for future ∗
Corresponding author. Email address:
[email protected] (Oleksiy Marchenko)
Preprint submitted to Chemical Engineering Journal
May 30, 2018
investigation and development of dewatering of sewage sludge with the use of the bioleaching process. Keywords: Bioleaching, Heavy metals, Iron-oxidizing bacteria, Mass balance, Sewage sludge
1
1. Introduction
2
Sewage sludge is a fertilizer that is contaminated with heavy metals, and the
3
majority of metals are bound to the solid phase of the sludge [1–10]. Heavy metals
4
enter sewage treatment systems with sewage from households, industrial wastewater,
5
or urban runoff [11, 12] and bind to particulate matter present in wastewater or
6
activated sludge floc during conventional sewage treatment [2, 7]. Sewage sludge is
7
the excess activated sludge and the particulate matter, which is removed prior to
8
wastewater treatment in the activated sludge process.
9
Bioleaching of heavy metals from sewage sludge is an effective method to transfer
10
metals from the solid phase of the sludge into its liquid phase [2, 13–15]. After
11
separation of part of the liquid phase, from which metals can be recovered [13, 16, 17],
12
the treated sludge usually meets the agricultural use standards. The bioleaching by
13
iron-oxidizing bacteria is one of the types of the process. It is often performed
14
as cultivation of these bacteria in sewage sludge with addition of FeSO4 ·7H2 O and
15
H2 SO4 in flasks or continuous flow stirred tank reactors. Bacteria that are usually
16
used in this approach to the bioleaching are either cultured strains of Acidithiobacillus
17
ferrooxidans [18, 19] or iron oxidizing bacteria that are indigenous to sewage sludge
18
[20, 21]. Other main approaches to the process include the bioleaching by sulfur-
19
oxidizing bacteria with addition of elemental sulfur and the bioleaching by a combined
20
culture of iron- and sulfur-oxidizing bacteria [2, 22]. A drawback of these approaches
21
is low conversion of the added elemental sulfur and potential soil acidification from 2
22
the residual sulfur in the decontaminated sludge [2].
23
In the past several years, many of the works on bioleaching of heavy metals from
24
sewage sludge have put the emphasis on the use of the bioleaching for sewage sludge
25
dewatering [18, 19, 21, 23–33], instead of development of the method and improve-
26
ment of its efficiency. The bioleaching significantly improves dewatering properties
27
of sewage sludge. In the simplest case, the dewatering properties improve, because
28
the acidic conditions that develop during the bioleaching process change the sur-
29
face potential of the sludge floc closer to the zero value than in the untreated sludge
30
[19, 21, 28]. More specifically, the bioleaching demonstrates better results than chem-
31
ical acidification, because it significantly affects extracellular polymeric substances
32
that impede sewage sludge dewatering [25–28, 30, 32]. But there is a potentially
33
interesting development of the bioleaching method itself that has been overlooked.
34
Figure 1
35
One of the approaches to bioleaching of heavy metals from sewage sludge is
36
the bioleaching by iron-oxidizing bacteria with recycling of the solid phase [34–38].
37
The bioleaching by iron-oxidizing bacteria with recirculation of the liquid phase has
38
not been investigated. A justification for the use of this approach is the presump-
39
tion of the bioleaching mechanism that is presented in Fig. 1a. This view is based
40
on the accepted presumption that ferrous iron is oxidized by the bacteria to ferric
41
iron, which in turn forms insoluble compounds, such as jarosite, schwertmannite
42
(Fe8 O8 (OH)6 SO4 ·nH2 O), or hydroxide [2, 14, 15, 39, 40]. It is implied in Fig. 1a that
43
recirculation of the liquid phase (Fig. 1b) may improve the process performance, al-
44
though the proof of such an improvement is beyond the scope of any practical work.
45
More practically, recirculation of the liquid phase during the bioleaching allows not
46
to treat part of the liquid phase of sewage sludge and, therefore, save reagents (Fig. 3
47
1b).
48
Recirculation of the liquid phase during the bioleaching is of potential interest
49
for development of dewatering of sewage sludge. The recirculation of the liquid
50
phase (Fig. 1b) may be seen as a way to shorten hydraulic retention time of the
51
solid phase during the bioleaching. The product of the bioleaching with respect to
52
dewatering of the sludge is the acidified and flocculated solid phase of sewage sludge.
53
Removing the solid phase from the reaction volume, instead of recirculating it, may
54
be considered as an approach to shift the equilibrium of the process further toward
55
formation of the product, in accordance with Le Chatelier’s principle. It is true,
56
whether the mechanism of the influence of the bioleaching on the sludge dewatering is
57
considered to be unknown [18, 25, 28] or understood [27, 29], as it is for any chemical
58
reaction. Unfortunately, no predictions about the process kinetics can be drawn from
59
a general thermodynamic argument such as above. Additionally, the liquid phase
60
for the recirculation has to be obtained from the treated sludge by sedimentation,
61
filtration, or centrifugation, and may contain loosely bound extracellular polymeric
62
substances. Moreover, without a generally accepted mechanism of the influence of
63
the bioleaching on the sludge dewatering, it is difficult to make predictions about
64
the time-independent optimum bioleaching parameters.
65
Before a difficult task of understanding the possible influences recirculation of
66
the liquid and solid phases during the bioleaching may have on dewatering of sewage
67
sludge, a simpler task has to be solved first. An investigation into the mechanism
68
of the influence of the bioleaching on dewatering of sewage sludge should be based
69
on mass balance of substances, primarily extracellular polymeric substances. The
70
amounts of these substances change during the bioleaching [25–28, 30, 32], and it is
71
difficult to propose a mechanism of the stated influence, to formulate a mass balance
72
model based on the mechanism, and to test the model, and thus confirm or disprove 4
73
the proposed mechanism. It is simpler first to develop a mass balance model for
74
substances that are known to be conserved during the bioleaching, such as heavy
75
metals.
76
The aim of this work is to develop a mass balance model of elements for bioleach-
77
ing of heavy metals from sewage sludge by indigenous iron-oxidizing bacteria with
78
recirculation of the liquid phase of the treated sludge.
79
2. Materials and methods
80
2.1. Sewage sludge sample
81
The sample of aerobically digested secondary sewage sludge was collected from
82
“Bortnyc’ka stanciya aeracii” STP in Kyiv, Ukraine. The STP receives 0.6–0.9 mln. m3
83
of domestic sewage and pretreated industrial wastewater daily; the STP does not
84
receive urban runoff. The sludge sample was taken in PET bottles, which were pre-
85
viously soaked in distilled water. The sludge was thickened twice by decantation and
86
stored in a refrigerator close to thawing ice before the bioleaching experiments were
87
performed. This thickened sludge constituted the feed sludge for the bioleaching
88
experiments. Total solids (TS) were analyzed by the standard method [41].
89
2.2. Bioleaching experiments
90
The semi-continuous flow stirred tank reactor was made from a glass cylinder
91
with a PTFE bottom and lid and was sealed with silicone hermetic. The reactor
92
total volume was 2 L; the reaction volume – 1.8 L. The reactor lid had apertures for
93
a heater, aerator, and thermometer, and also for pH, oxidation reduction potential
94
(ORP), and dissolved oxygen (DO) electrodes. Mixing of the sludge was performed
95
by a magnetic stirrer and a PTFE sealed magnetic stir bar, heating – by an aquarium
96
heater, aeration – through a silicone tube (the aerator) with punctures; the aerator 5
97
was connected to an aquarium air pump. ORP and pH values were measured poten-
98
tiometrically, DO – polarographically.
99
The bioleaching experiments were performed in a succession as follows: (a) en-
100
richment of the indigenous iron-oxidizing bacteria in sewage sludge; (b) the semi-
101
continuous flow bioleaching with addition of 0.1% FeSO4 ·7H2 O and recirculation of
102
the liquid phase (“0.1% Fe bioleaching”); (c) the semi-continuous flow bioleaching
103
without addition of ferrous iron and with recirculation of the liquid phase (“0% Fe bi-
104
oleaching”). The enrichment was performed by addition of 2% (20 g/L) FeSO4 ·7H2 O
105
to the twice diluted feed sludge and subsequent acidification of the sludge with 1 M
106
H2 SO4 to pH 3.5. This mixture was treated in the reactor for 10 days. The transi-
107
tion from the enrichment process to 0.1% Fe bioleaching was performed in a similar
108
manner to 0.1% Fe bioleaching, but the amounts of the added FeSO4 ·7H2 O were
109
gradually reduced from 2% to 0.1%. The transition from 0.1% to 0% Fe bioleaching
110
was performed in a similar manner to 0.1% Fe bioleaching, with the exception that
111
no ferrous iron was added to the sludge. The feed sludge during 0.1% and 0% Fe
112
bioleaching processes was added as follows:
113
– twice daily 300 mL of the sludge was taken from the reactor and filtered through
114
a paper filter (12–15 µm pore diam.) to obtain 150 mL of the liquid phase of the
115
sludge (the leachate);
116
– 150 mL of the feed sludge was mixed with 150 mL of the leachate;
117
– 0.1% FeSO4 ·7H2 O or none was added on the basis of the mixture volume (300 mL);
118
– the mixture was added to the reactor;
119
– 5.2–5.4 mL of 1 M H2 SO4 was added to the sludge in the reactor (17.3–18 mM on
120
the basis of the mixture volume; 34.6–36 mM on the basis of the feed sludge volume).
121
The sludge samples for iron-oxidizing bacteria cell counts were taken, and also pH,
122
ORP and DO values were measured, before the described above sludge substitution 6
123
procedures were performed. All the described experiments were performed at 28 ◦ C).
124
The used reagents were “purissimum” grade.
125
Hydraulic retention times (HRT) for both 0.1% and 0% Fe bioleaching processes,
126
defined as the reaction volume divided by the daily inflow of the sludge, were 3 days
127
(if the recirculated leachate is included in the inflow) or 6 days (if the recirculated
128
leachate is excluded from the inflow). The bioleaching processes were considered to
129
be steady after 10 days, at which time the sludge samples were taken for elemen-
130
tal analysis. The stability of the bioleaching processes was mainly assessed by the
131
stability of pH and ORP values. HRT of the solid phase in the experimental setup
132
was set to be 3 days, and from this standpoint the steady state was obtained after
133
3×HRT, as in [34–38]. Additionally, HRT of 3 days for the solid phase is of interest
134
for dewatering of sewage sludge, as it has been shown to give good results [19, 28, 33],
135
although other works have been performed or shown good results for HRT values of
136
1 [24], 2 [23, 25], or 4 [21] days.
137
The bioleaching without addition of FeSO4 ·7H2 O was initially considered as a
138
phenomenological control. The addition of 0.1% FeSO4 ·7H2 O was used to corre-
139
spond with the works on the recycling of the solid phase [34, 38], and it is also the
140
lowest concentration of the added ferrous iron that has been reported to sustain the
141
bioleaching in a continuous process. Temperature (28 ◦ C) was set close to the values
142
in a majority of works on bioleaching of heavy metals from sewage sludge, as well as
143
the TS values.
144
2.3. Elemental analysis
145
Elemental content was analyzed in the feed sludge, the sludge from 0.1% and 0%
146
Fe bioleaching processes, and in the liquid phase of the sludge (the leachate) from
147
0.1% and 0% Fe bioleaching processes. 7
148
The leachate samples were obtained as in the bioleaching experiments, and were
149
additionally vacuum filtered through nitrocellulose membrane filters (500–700 nm
150
pore diam.). The samples of the leachate were diluted with distilled water and
151
stabilized by addition of HNO3 . The samples of the sludges were microwave digested
152
in PTFE digestion vessels with 2:1 mixture of HNO3 and HCl (oven Speedwave
153
MWS-2, vessels DAP-60K, Berghof). After the digestion, the extracts were filtered
154
and diluted with distilled water. Blank controls of the preparation of the leachate
155
samples and the digested sludges were made. All glassware and the PTFE digestion
156
vessels were prepared by soaking in diluted HNO3 , with subsequent washing and
157
soaking in distilled water. The used reagents were “purissimum” grade.
158
Elemental concentrations (Li, Be, Mn, Co, Cu, Zn, Ga, As, Rb, Sr, Cd, Ba, Tl,
159
Pb, Bi, U) in the prepared samples were measured by inductively coupled plasma
160
mass spectrometry (spectrometer Agilent-7500, Agilent Technologies).
161
The presented results include only those elements, for which the total concentra-
162
tions and the concentrations in the liquid phase were measured for both 0.1% and 0%
163
Fe bioleaching processes, and the measured values were higher than their respective
164
total uncertainties. The total uncertainties and systematic errors are calculated as
165
described in [42]. For elemental analyses these errors include 0.5% relative errors in
166
the measurements of volumes, and 5% relative errors in the measurements of elemen-
167
tal concentrations in the samples and their corresponding blank controls (calibration
168
errors).
169
2.4. Microbiological analysis
170
Plate counts of the indigenous iron-oxidizing bacteria in the feed and the treated
171
sludge were performed on silica gel plates with the ferrous sulphate medium (9K) [43].
172
The sludge samples, taken for the plate counts, were diluted with 0.01 M phosphate 8
173
buffer and shaken. Plate spreading was performed by shaking, not with a glass rod.
174
The plates were left for 11–12 days at 23–28 ◦ C, and then the grown colonies were
175
counted.
176
Silica gel was prepared from a low grade stock solution of sodium silicate by ion
177
exchange with strong cation exchange resin and weak anion exchange resin, a 3:1
178
mixture of which was regenerated with 1 M H2 SO4 , as described in [44].
179
Photographs of the indigenous iron-oxidizing bacteria were made using transmis-
180
sion electron microscopy (electron microscope JEOL JEM-1400, JEOL).
181
2.5. Mass balance model verification
182
2.5.1. Overview
183
The mass balance model (Supplement A) is verified by a comparison of the mod-
184
eled values that are based on the experimental setup with the experimentally ob-
185
served values. The comparisons of the values are analyzed by the means of statistical
186
analyses.
187
The general statement of the null hypotheses used for the statistical analyses
188
below is: the proposed mass balance model is adequate. The p-value approach is
189
used to analyze the results. “The p-value is the smallest significance level at which
190
the null hypothesis is rejected”; “the commonly used values of the significance level
191
are 0.01, 0.025, 0.05, and 0.10” [45].
192
The performed Z-tests for comparisons of modeled and experimental values are
193
performed as described in [45], and the total uncertainties of the values are used in
194
the analyses to correspond with the fact that the systematic errors are known. The
195
F -tests for the one-factor analyses of variance (ANOVA) are carried out as described
196
in [46], and include systematic errors in the calculations. The performed t-tests for
197
correlations are carried out as described in [45]. 9
198
199
2.5.2. Distribution constants and efficiencies The distribution constants KD (L/g) for each element are calculated as:
KD =
CRt,exp − CRl,exp CRl,exp
·
1 , T SR
(1)
200
where CRl,exp is the experimentally measured concentration of an element in the liquid
201
phase of the sludge in the reactor, mol/L; CRt,exp is the experimentally measured total
202
concentration of an element in sewage sludge in the reactor, mol/L; T SF is the total
203
solids content of the sludge in the reactor, g/L.
204
The efficiencies E (%) for each element are calculated as:
E= 205
206
CRl,exp · 100%, CRt,exp
(2)
where the quantities are the same as in Eq. (1). The distribution constants and efficiencies for each element observed in 0.1% and
207
0% Fe bioleaching processes are compared with the use of Z-tests.
208
2.5.3. Concentrations in the liquid phase
209
210
The predicted values of concentrations of elements in the liquid phase of the sludge in the reactor CRl,mod (mol/L) are calculated as: CRl,mod =
1 1 + KD · T SF
· CFt ,
(3)
211
where CFt is the total concentration of an element in the feed sludge, mol/L. T SF is
212
the total solids content of the feed sludge, g/L; KD is as in Eq. (1).
213
214
The calculated values of CRl,mod are compared with the experimentally obtained values CRl,exp for each element with the use of Z-tests.
10
215
216
217
2.5.4. Total concentrations The predicted values of total concentrations of elements in the sludge in the reactor CRt,mod (mol/L) are calculated as: CRt,mod = CRl,mod + (CFt − CRl,mod ) · (1 − L),
(4)
218
where CRl,mod and CFt are as in Eq. (3); L is the coefficient of recirculation of the
219
liquid phase, it is defined as part of the liquid phase of the outflow from the reactor
220
that is being recirculated, it is equal to 0.5 for the experimental setup of this work,
221
dimensionless.
222
The calculated values of CRt,mod are compared with the experimentally obtained
223
values CRt,exp for each element with the use of Z-tests.
224
2.5.5. Invariants
225
The modeled and experimental concentrations of elements have significantly dif-
226
ferent values for different elements. Therefore, it is impossible to compare directly
227
the values obtained for different elements with the aim of assessing the validity of
228
the model. To that aim it is necessary to obtain an invariant quantity that should
229
be the same for different elements from the standpoint of the model. Such invariant
230
could be used to compare the experimental and predicted concentrations of different
231
elements as one group.
232
The invariants I exp and 1/I exp are calculated for each element as:
I 233
234
235
exp
≡
CRt,exp − CRl,exp CFt − CRl,exp
,
(5)
where CFt , CRt,exp and CRl,exp are the same as in Eq. (3, 4). These invariants are compared to the model invariant I mod that is given by the experimental setup as: 11
I mod ≡ 1 − L, 236
(6)
where L is the same as in Eq. (4).
237
The comparison between I exp and I mod , and also between 1/I exp and 1/I mod is
238
made for each bioleaching process separately and for both processes as for one dataset
239
with the use of F -tests and Z-tests.
240
2.5.6. Relative concentrations
241
The relative concentrations of elements in the liquid phase of the sludge in the
242
reactor and in total RC l,mod , RC l,exp , RC t,mod and RC t,exp (all %) are calculated as: CRl,i · 100%, CFt /2
(7)
CRt,i = t · 100%, CF /2
(8)
RC l,i =
RC
t,i
243
where i denotes either modeled (mod) or experimental (exp) values; CFt is the same
244
as in Eq. (3, 4).
245
Relative concentrations are calculated with the intention to show the modeled
246
and experimental concentrations of different elements on a similar basis. To that
247
aim, total uncertainties of the concentrations in the feed sludge are not included in
248
calculation of uncertainties for Eq. (7, 8). The used basis is the total concentrations
249
of elements in the feed sludge divided by 2. This basis approximately shows the
250
total elemental concentrations in the reactor that would have been obtained during
251
bioleaching of heavy metals from the initial (not thickened) sludge without recircu-
252
lation of the liquid phase. It is presumed that the concentrations of heavy metals
253
are twice higher in the feed sludge than in the initial sludge. It is reasonable to
12
254
presume so, because it is well known that the majority of heavy metals are predom-
255
inately bound to the solid phase of sewage sludge, and would not be lost during the
256
thickening. It is obviously not so for elements that are contained in high amounts in
257
the liquid phase of sewage sludge. The invariants described previously provide much
258
more strict basis that assumes only the properties of the model, but are too abstract
259
for presentation.
260
The correlations between the modeled and experimentally obtained values of the
261
relative concentrations of elements are analyzed with the use of t-tests.
262
3. Results
263
The initial sludge had TS (g/L) value 13.25, the feed sludge – 28.73, the treated
264
sludge –18.66. Dissolved oxygen values observed during the bioleaching experiments
265
were 5.5–7.5 mgO2 /L. pH and ORP values were 3.1 and 450 mV during 0.1% Fe
266
bioleaching, during 0% Fe bioleaching the observed values were 3.9 and 410 mV
267
(Fig. SA.2). The observed ORP value during 0% Fe bioleaching was higher than was
268
expected from the extrapolation presented in [38], while the pH value was close to the
269
expected. The cell counts of indigenous iron-oxidizing bacteria in the feed sludge were
270
approx. 200 cells/mL, in the sludge in the reactor after the enrichment – 107 cells/mL,
271
in the sludge in the reactor during 0.1% Fe bioleaching – 2·106 cells/mL, during
272
0% Fe bioleaching – 105 cells/mL (Fig. SA.2, SA.3). The observed and modeled
273
elemental concentrations are shown in the form of relative concentrations in Fig. 2.
274
The correlation analyses (the t-tests) for relative concentrations for 0.1% and 0% Fe
275
bioleaching processes give the p-values 1 for all tests (Fig. SA.4).
276
Figure 2
277
The Z-tests for the distribution constants and efficiencies show that 0.1% and 13
278
0% Fe bioleaching processes had relatively similar distribution of elements between
279
the sludge phases. The tests for KD s give the average p-value 0.361, median – 0.291,
280
lower quartile – 0.032, minimum – 0.000 (Be, Cu), maximum – 0.983 (Mn), values
281
below 0.05 were obtained for Be, Cu, As, Cd, Tl, Pb. The tests for efficiencies give
282
the average p-value 0.375, median – 0.326, lower quartile –0.085, minimum – 0.000
283
(Be, Cu), maximum – 0.983 (Mn), values below 0.05 were obtained for Be, Cu, Cd,
284
Tl.
285
The Z-tests for the concentrations of elements in the liquid phase for 0.1% and
286
0% Fe bioleaching processes taken separately shows good correspondence between
287
the model and the experiment for 0.1% Fe bioleaching, and reasonable – for 0%
288
Fe bioleaching. The tests for 0.1% Fe bioleaching give the average p-value 0.485,
289
median – 0.419, lower quartile – 0.215, minimum – 0.076 (Cu), maximum – 0.981
290
(Bi), none of the elements had values below 0.05. The tests for 0% Fe bioleaching
291
give the average p-value 0.261, median – 0.084, lower quartile – 0.040, minimum –
292
0.002 (Be), maximum – 0.842 (Mn), values below 0.05 were obtained for Li, Be, Ga,
293
Rb, Tl.
294
The Z-tests for the total concentrations of elements in the sludge for 0.1% and
295
0% Fe bioleaching processes taken separately show better correspondence between
296
the predicted and the experimental concentrations than for the concentrations in the
297
liquid phase. Additionally, the test was performed for TS values. The tests for 0.1%
298
Fe bioleaching give the average p-value 0.397, median – 0.321, lower quartile – 0.114,
299
minimum – 0.000 (TS), maximum – 0.981 (Rb), values below 0.05 was obtained for
300
TS and none of the elements. The tests for 0% Fe bioleaching give the average p-value
301
0.293, median – 0.207, lower quartile – 0.052, minimum – 0.000 (TS), maximum –
302
0.984 (Mn), values below 0.05 were obtained for TS, Li, Be, Tl.
303
The F -tests for ANOVA for the invariants show that the model and the exper14
304
iments correspond well. Additionally, the invariant is calculated for the values of
305
TS. The F -test for the invariant I for 0.1% Fe bioleaching gives the p-value 0.979,
306
and for the invariant 1/I – 0.115. For 0% Fe bioleaching the F -test for the invariant
307
I gives the p-value 0.936, and for the invariant 1/I – 0.976. For 0.1% and 0% Fe
308
bioleaching processes combined as one dataset the F -test for the invariant I gives
309
the p-value 0.996, and for the invariant 1/I – 0.338.
310
The Z-tests for the invariants show that the model and the experiments corre-
311
spond well. The test for the invariant I for 0.1% Fe bioleaching gives the p-value
312
0.714, for 0% Fe bioleaching – 0.382, and for the combined dataset – 0.883. The
313
test for the invariant 1/I for 0.1% Fe bioleaching gives the p-value 0.726, for 0% Fe
314
bioleaching – 0.322, and for the combined dataset – 0.871.
315
4. Discussion
316
There are two primary benefits that arise from the use of the proposed bioleaching
317
of heavy metals with recirculation of the liquid phase. The first is the reduction of
318
the amounts of the used reagents that comes simply from the fact that part of the
319
liquid phase of the initial sewage sludge need not be treated (Fig. SA.5). The second
320
benefit is the potentially high concentrations of heavy metals in the leachate, which
321
is beneficial for its subsequent treatment. Heavy metals are predominately contained
322
in the solid phase of sewage sludge, and the sludge has high viscosity. It would be
323
highly efficient to treat as much of the solid phase as possible, but this is not possible
324
because of the high viscosity of the sludge. Specifically, it is difficult to dewater the
325
sludge, and then mix and aerate it. The proposed approach allows to treat this
326
thickened sludge in the reactor, because the sludge is diluted with the recirculated
327
liquid phase. And the main consequence of this dilution by the recirculation is the
328
high concentrations of heavy metals that are described by the model. Specifically, if 15
329
the bioleaching for some heavy metal has high efficiency, then the metal concentration
330
in the reactor would be up to its total concentration in the thickened sludge. The sum
331
total for such case is the obtained concentration of the metal that is as high, as if the
332
bioleaching process directly treated the thickened sludge. Since subsequent treatment
333
of the leachate is concentration dependent [13, 16, 17], the proposed approach to the
334
bioleaching is favorable for this necessary next step and aims to overcome one of its
335
difficulties, specifically the relatively low metal concentrations in the leachate [13].
336
The proposed mass balance model provides a robust method to calculate the con-
337
centrations of elements in sewage sludge treated by the bioleaching with recirculation
338
of the liquid phase. The model can be used as an estimate for other experimental
339
setups with recirculation of the phases, because the distribution constants for many
340
elements, but not all, are similar under different bioleaching conditions. The model
341
can also be used, after appropriate verification, for the bioleaching with recirculation
342
of the solid phase, if used in the full form given in Supplement A. The shortcoming
343
of the proposed model is the poor prediction about TS values of the sludge in the
344
reactor. Better understanding of the size fractionation of the sludge solids during
345
filtration is needed to improve the model in this respect. Another area for improve-
346
ment is to account the volumes of the solid phase in the feed sludge and in the
347
treated sludge. Much more significant improvement of the model may be obtained
348
if the dependence of the distribution constants on the bioleaching parameters was
349
investigated in more depth.
350
The bioleaching with recirculation of the liquid and solid phases [34–38] together
351
with the presented mass balance model provide exceptionally useful tools to analyze
352
and develop dewatering of sewage sludge coupled with the bioleaching. The pre-
353
sented model is general and can be extended to describe mass balance of substances.
354
In the cases of added flocculants and added acid, recirculation of the liquid phase is a 16
355
method to recycle the unreacted substance. In the case of biologically produced floc-
356
culants that are predominately contained in the solid phase of the sludge [27, 29], the
357
recirculation of the solid phase is naturally expected to produce better experimental
358
results. It is known that extracellular polymeric substances significantly influence
359
sewage sludge dewatering properties [25–28, 30, 32, 47–50]. The mass balance model
360
would provide a simple method to predict and test the amounts of flocculants and
361
sludge born extracellular polymeric substances in the treated sludge, if it was to
362
be developed further. Such development should especially account distribution of
363
extracellular polymeric substances during separation of the sludge phases. This is
364
the most significant area of future research, to which the results of this work can be
365
applied.
366
5. Conclusions
367
The work presents and verifies a mass balance model of elements for bioleaching
368
of heavy metals from sewage sludge by indigenous iron-oxidizing bacteria with re-
369
circulation of the liquid phase of the treated sludge. Good correspondence between
370
the model predictions and the performed experiments gives ground for further de-
371
velopment of the model to describe substances that are not conserved during the
372
bioleaching, especially extracellular polymeric substances that impede sewage sludge
373
dewatering. Recirculation of the liquid and solid phases of sewage sludge during
374
the bioleaching, together with the mass balance model, give useful tools for future
375
investigation and development of dewatering of sewage sludge with the use of the
376
bioleaching process.
17
377
6. Appendix A. Supplementary material
378
Supplement A provides the derivation of the mass balance model and additional
379
figures. Supplement B provides elemental concentrations data, the model calcula-
380
tions, and data on model verification.
381
7. Acknowledgements
382
ICP-MS measurements were performed in the NASU Center of Collective Us-
383
age, “Gas chromatography-mass spectrometry and inductively coupled plasma mass-
384
spectrometry”, ICWC, NASU. Electron microscopy was performed in the NASU
385
Center of Collective Usage, “Laboratory for electron microscopy”, IMV, NASU. This
386
work was supported by the NASU Department of Chemistry (0112U000040).
387
8. Conflict of interest
388
O. Marchenko and G. Pshinko are coauthors of a utility model patent UA 103623
389
U that describes bioleaching of heavy metals from sewage sludge with recirculation
390
of half of the liquid phase of the treated sludge; ICWC, NASU is the proprietary
391
rights holder for the patent.
392
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Figure 1: The presumed (but not tested) mechanism of bioleaching of heavy metals from sewage sludge by iron-oxidizing bacteria (a), and the setup of the bioleaching with recirculation of the liquid phase (b).
Figure 2: The experimentally observed and predicted relative concentrations of elements in total (a) and in the liquid phase (b) of sewage sludge treated in 0.1% and 0% Fe bioleaching processes.
27