Journal of Industrial and Engineering Chemistry 17 (2011) 29–35
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Journal of Industrial and Engineering Chemistry
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Bioleaching kinetics of copper from copper smelters dust
Fereshteh Bakhtiari a,*, Hossein Atashi b, Mortaza Zivdar b, Seyedali Seyedbagheri c,
Mohammad Hassan Fazaelipoor a
a
Department of Chemical Engineering, Faculty of Engineering, Shahid Bahonar University of Kerman, P.B. 76175-133 Kerman, Iran
Department of Chemical Engineering, Faculty of Engineering, University of Sistan and Baluchestan, Zahedan 98164, Iran
c
Hydrometallurgy Research Group, R&D Center, Sarcheshmeh Copper Complex, Rafsanjan, Iran
b
A R T I C L E I N F O
Article history:
Received 2 December 2009
Accepted 10 February 2010
Available online 8 October 2010
Keywords:
Bioleaching
Copper flue dust
Kinetics
Shrinking core model
A B S T R A C T
The smelting factory of Sarcheshmeh Copper Complex in Iran produces about 50 tons per day of copper
dust containing 36% Cu, 22.2% Fe and 12.2% S. The dust is currently recycled to the smelters. This method
is not desirable in terms of operation, and energy consumption. A mixed culture of mesophilic bacteria
was used to examine the bioleaching of copper from the dust. The effect of various parameters such as
pulp density, nutrients, temperature, and the amount of pyrite added to the bioleaching media were
examined in the dust bioleaching tests. It was shown that the bacteria contributed effectively in the
leaching of copper from the dust. The collected data showed that at pH 1.8 and the pulp density less than
7%, the dissolution of copper followed shrinking core kinetic model and the process was limited by
diffusion of lixiviant. With the pulp density of 7%, however, the process showed to be reaction limited.
ß 2010 The Korean Society of Industrial and Engineering Chemistry. Published by Elsevier B.V. All rights
reserved.
1. Introduction
Bioleaching is an efficient, simple and eco-friendly process for
metal extraction from ores and concentrates as compared to other
conventional processes. Bioleaching is used essentially for the
recovery of gold, copper, cobalt, nickel, zinc and uranium [1,2]. Other
suitable materials for bioleaching process are: reverberatory and
converter furnaces slag and dust as well as flotation tailings [3–7].
About 50 tons per day of copper dust containing 36% Cu, 22.2%
Fe and 12.2% S is generated as a byproduct in the smelting furnaces
of Sarcheshmeh Copper Plant, Iran. The dust is recycled to the
smelters which reduces their efficiencies and increases the burden
on the unit as well as the required energy for smelting process;
furthermore, it damages the refractory bricks.
Previous studies have shown that the copper dusts of
Sarcheshmeh smelting factory mostly contain the secondary
copper sulfide minerals [4–6], which are more suitable than
chalcopyrite in bioleaching [8,9].
Different types of microorganisms are capable of attacking
sulfide ores and concentrates. The most common mesophilic
bacteria present in sulfide leaching are the iron-and sulfur-oxidizing
Acidithiobacillus ferrooxidans, the sulfur-oxidizing Acidithiobacillus
thiooxidans, Acidithiobacillus caldus and the iron-oxidizing Leptospirillum ferrooxidans and Leptospirillum ferriphilum [2,8,10–13]. The role
* Corresponding author. Tel.: +98 341 211 8298; fax: +98 341 211 8298.
E-mail address:
[email protected] (F. Bakhtiari).
of microorganisms is to generate the leaching chemical and to create
the space in which the leaching reactions take place. The bioleaching
microorganisms need to be adapted to acidic conditions, the
presence of certain heavy metals, and possibly a wide range of
inorganic ions [14]. Several important parameters including
temperature, pH, nutrients, pulp density, sulfide minerals, O2 and
CO2, and metal toxicity affect bioleaching of copper [15].
A. thiooxidans can oxidize sparingly soluble sulfides (such as
wurtzite), but not the sulfide, which are totally insoluble (such as
covellite), except when iron is present [11]. The microbial
oxidation of Fe2+ increases the Fe3+/Fe2+ ratio, and so the redox
potential. When the redox potential is low and more Fe2+ is in
solution, A. ferrooxidans would predominate, because this organism has a faster growth rate and will build up a larger number of
cells in the system. However, as the redox potential increases due
to a higher Fe3+/Fe2+ ratio, L. ferrooxidans would predominate,
because this organism has a higher affinity for Fe2+ than does A.
ferrooxidans. A. ferrooxidans is also more sensitive to inhibition due
to high concentrations of Fe3+ in solution [10].
Gomez et al. [16] related the pulp density of a Cu–Zn–Fe
complex sulfide ore to the extraction rate of metals by a Michaelis–
Menten type equation. They also showed that the rate of copper
and zinc bioleaching were controlled by the chemical reaction.
Mehta et al. [17] showed that an indirect mechanism was involved
in the bioleaching of a converter slag which was mostly an oxidic/
silicious material. Rodriguez et al. [18] studied the chalcopyrite
bioleaching mechanism at low and high temperatures. They
concluded that the bioleaching of chalcopyrite was possibly the
1226-086X/$ – see front matter ß 2010 The Korean Society of Industrial and Engineering Chemistry. Published by Elsevier B.V. All rights reserved.
doi:10.1016/j.jiec.2010.10.005
30
F. Bakhtiari et al. / Journal of Industrial and Engineering Chemistry 17 (2011) 29–35
Table 1
Chemical and mineralogical composition of the mixed dust.
Element/mineral
Cu (total)
Cua
Fe
S
Cu2S
CuS
CuFeS2
Cu5FeS4
Cu–N
FeS2
Fe2O3
Fe3O4
Gangue
Weight (%)
Estimated portion of total Cu
35.8
12.9
15.3
12.2
18.6
61.6
1.7
4.7
2.0
2.9
2.6
6.8
5.8
24
0.3
0.9
14.8
53.3
a
Acid soluble copper.
Table 2
Chemical and mineralogical composition of the pre-leached mixed dust.
Element/mineral
Cu (total)
Cua
Fe
S
Cu2S
CuS
CuFeS2
Cu5FeS4
Cu–N
FeS2
Fe2O3
Fe3O4
Gangue
Weight (%)
Estimated portion of total Cu
35.1
4.2
22.2
5.9
24.4
80.9
1.4
3.9
2.7
3.9
3.5
9.2
0.5
2.1
1.9
3.7
19.8
42.1
a
Acid soluble copper.
mixed to obtain a representative sample. Table 1 shows the
Chemical and mineralogical characteristics of the sample. The
main copper sulfide minerals in the dust were chalcocite 18.6%,
bornite 2.6%, chalcopyrite 2% and covellite 1.7%. Screen size
analysis showed that about 70% of particles were finer than 80 m
(d70 = 80). Because of the substantial amount of acid soluble copper
portion (13%), a pre-leaching test of 10% (w/v) pulp density was
carried out in rolling bottles with sulfuric acid solution with
pH = 1.5. It resulted in the dissolution of 80% of the acid soluble
copper after 120 min. Chemical and mineralogical analysis of the
pre-leached dust is in Table 2.
simultaneous bioleaching of the pyretic phase of mineral, by an
indirect mechanism via thiosulfate, and the indirect bioleaching of
chalcopyrite, probably by a mechanism by the aid of polysulfide
and elemental sulfur. Mehta et al. [19] showed that the
biodissolution of the metals from Indian Ocean nodules in the
temperature range of 293–308 K at a pH of 2 and 5% pulp density
with the particle size of 300 to 75 mm followed shrinking core
kinetic model.
The purpose of this research was the assessment of bioleaching
for copper extraction from the smelting furnaces dust using a
mixed native culture of A. ferrooxidans, A. thiooxidans and L.
ferrooxidans. To that end, different variables were studied (pulp
densities, nutrients, temperature, and the amount of pyrite added
to the bioleaching media). Furthermore, we obtained the kinetic of
bioleaching as a function of pulp density.
2.2. Microorganisms
Previously isolated native species of A. ferrooxidans, A.
thiooxidans and L. ferrooxidans from Sarcheshmeh Copper Mine
[20] were used. The isolates were separately grown in 9K medium
[21], containing 44.2 g/L ferrous sulfate (pH = 1.8) for A. ferrooxidans, 40 g/L ferrous sulfate (pH = 1.7) for L. ferrooxidans and 10 g/L
elemental sulfur (pH = 2) for A. thiooxidans. Cultures were
incubated at 32 8C in a temperature-controlled orbital shaker at
150 rpm. The bioleaching shake flask tests were performed with a
mixed culture of the above isolates. The isolates were grown
2. Experimental
2.1. Sample preparation
The substrate was a sample of smelters copper dust from the
smelting factory of Sarcheshmeh Copper Complex, Iran. Samples
were collected on different days during the smelting process and
Table 3
Test conditions in biological leaching experiments.
Variable factor
Test no.
Flask no.
Pulp density (%)
Pyrite addition (%)
Nutrient medium
Temp. (8C)
Inoculation (%)
Pulp density
1
1
2
1
2
1
2
1
2
3
4
1
2
3
4
1
2
3
1
2
3
4
1
2
3
4
2
–
32
4
–
7
–
2
3
–
0.2
1.0
–
–
0.2
1.0
–
–
0.2
–
–
3
–
9K
Dist. watera
9K
Dist. water
9K
Dist. water
9K
9K
9K
Dist. water
9K
9K
9K
Dist. water
9K
9K
Dist. water
9K
Norris
M
Dist. water
9K
Norris
M
Dist. water
20
–
25
–
40
–
20
20
20
–
25
25
25
–
40
40
–
20
20
20
–
20
20
20
–
2
3
Pyrite addition
4
5
6
Nutrient medium
7
Temp. (8C)
8
a
Distilled water (control).
4
7
32
32
32
32
32
32
36
[(Fig._2)TD$IG]
31
F. Bakhtiari et al. / Journal of Industrial and Engineering Chemistry 17 (2011) 29–35
Table 4
Nutrient media used in dust bioleaching tests.
Nutrient (g/L)
[(Fig._1)TD$IG]
9K [21]
M [22]
Norris [23]
MgSO47H2O
K2HPO4
KCl
Ca(NO3)2H2O
3
1
0.2
0.5
0.24
0.2
0.63
0.5
0.2
0.1
0.05
–
0.014
–
–
a
120
100
(NH4)2SO4
2% solid
2% (control)
4% solid
4% (control)
80
1/V (L.h/g)
Medium
a
7% solid
7% (control)
60
40
y = 1890.8x + 2.7052
2
R = 0.997
Redox Potential (mV)
800
20
700
0
600
0
400
0.03
0.04
0.05
0.06
b1000
300
800
5
10
15
20
25
30
35
1/V (L.h/g)
0
Time (days)
b
Cu Concentration (g/L)
0.02
1/S (L/g)
200
2% solid
2% (control)
4% solid
4% (control)
7% solid
7% (control)
20
18
16
14
12
10
8
6
4
2
0
600
400
y = 15099x + 77.443
2
R = 0.9852
200
0
0
0.01
0.02
0.03
0.04
0.05
0.06
1/S (L/g)
Fig. 2. Plot of Michaelis–Menten for the (a) copper dissolution, (b) iron dissolution.
0
5
10
15
20
25
30
35
Time (days)
c
2% solid
2% (control)
4% solid
4% (control)
7% solid
7% (control)
100
Cu Extraction (%)
0.01
500
80
60
40
20
0
0
5
10
15
20
25
30
35
Time (days)
Fig. 1. Influence of pulp density on the (a) redox potential, (b) Cu concentration, (c)
Cu extraction.
separately, and mixture of the three cultures was used as the
bioleaching solution. The cultures were as the exponential phase of
growth when they were mixed. The volume percentages of the
cultures in the final solution were 40% for A. ferrooxidans, 40% for L.
ferrooxidans and 20% for A. thiooxidans.
and bacterial solutions incubated in a Kohner orbital shaker
incubator at 150 rpm. For all experiments the initial pH was
adjusted to 1.8. The pH was measured by a pH meter and
maintained at 1.8 using concentrated sulfuric acid. Oxidation–
reduction potential (ORP) of all the flasks was measured as an
indicator of bacterial growth. Some samples were periodically
taken from each flask to analyze copper and iron tenors by Atomic
Absorption Spectroscopy. Evaporation and sampling losses were
compensated by the addition of distilled water and 9K nutrient
medium, respectively. After the completion of the tests, the solid
residue were washed and dried to determine the copper and iron
content.
One factor at a time procedure was used to investigate the effect
of pulp density, nutrient medium, temperature and the amount of
pyrite added to the bioleaching media on the bioleaching (Table 3).
The composition of the nutrient media is presented in Table 4 [21–
23]. The results of each series of the experiments were compared
with the control samples containing 10% (v/v) of thymol in
methanol.
Table 5
Values of maximum rate of dissolution, Vm, and kinetic constant Ks, for copper and
iron bioleaching.
Element
2.3. Bioleaching experiments
All bioleaching tests were performed in 1000 ml Erlenmeyer
containing 2–7% (w/v) of the pre-leached dust, 400 ml of nutrient
Cu
Fe
Constant
Vm (mg/L h)
Ks (g/L)
369.66
12.9
698.95
194.97
[(Fig._3)TD$IG]
32
F. Bakhtiari et al. / Journal of Industrial and Engineering Chemistry 17 (2011) 29–35
0.6
0.6
2% solid
3% solid
0.5
1-(1-XCu)1/3
1-(1-XCu)1/3
0.5
0.4
0.3
0.2
0.4
0.3
0.2
y = 0.0242x
y = 0.0253x
2
2
R = 0.5852
0.1
R = 0.8852
0.1
0
0
0
5
10
15
20
0
25
5
10
Time (days)
20
25
Time (days)
0.5
0.6
7% solid
4% solid
0.4
1-(1-XCu)1/3
0.5
1-(1-XCu)1/3
15
0.4
0.3
0.2
0.3
0.2
y = 0.0127x
y = 0.0189x
2
2
0.1
R = 0.9879
0.1
R = 0.9888
0
0
0
5
10
15
20
25
30
0
5
10
Time (days)
[(Fig._4)TD$IG]
15
20
25
30
35
40
Time (days)
Fig. 3. Chemical kinetics control model for biodissolution of copper from copper dust.
1.2
1.4
2% solid
3% solid
1.2
1
0.8
0.8
XCu
XCu
1
0.6
0.6
0.4
0.4
y = 0.0504x
y = 0.0497x
2
2
0.2
R = 0.1804
0.2
R = 0.6974
0
0
0
5
10
15
20
0
25
5
10
15
20
25
Time (days)
Time (days)
1
1.2
7% solid
4% solid
1
0.8
0.8
XCu
XCu
0.6
0.6
0.4
y = 0.0259x
0.4
y = 0.0349x
2
2
0.2
R = 0.9132
0.2
R = 0.9656
0
0
0
5
10
15
20
Time (days)
25
30
0
5
10
15
20
25
Time (days)
Fig. 4. Liquid film diffusion control model for biodissolution of copper from copper dust.
30
35
40
33
F. Bakhtiari et al. / Journal of Industrial and Engineering Chemistry 17 (2011) 29–35
Bioleaching of copper dust was initially performed to study the
feasibility of the process for the pulp densities of 2, 4, 6, 8, 10, 12,
14% (w/v). The results showed, except in the flask with pulp
density of 2%, no growth in the other flasks (not shown). It revealed
the possibility of the bioleaching of the copper dust by these
microorganisms, but it was necessary to adapt the bacteria to the
higher concentrations of the dust gradually. The inoculum of each
test was prepared by culturing the bacteria of previous test which
adapted with lower ferrous sulfate and elemental sulfur. In this
paper only the results of 2, 4 and 7% (w/v) solid–liquid ratio were
presented (tests 1–3).
3. Results and discussion
3.2. Bioleaching experiments
Fig. 1 presents the effect of different pulp densities on the redox
potential, copper concentration and copper recovery. The results of
increasing the pulp density showed an increase in the lag phase of
bacterial growth as well as the increasing of acid consumption,
toxicity of metal ions, copper concentration, and shear stress. They,
in turn, resulted in the decrease of the ORP and copper recovery.
According to the copper recovery curves, maximum copper
extraction from the control and the biological conditions for the
pulp densities of 2%, 3%, 4%, and 7%, were found as 42.2% and 90.1%
in 23 days, 45.9% and 83.1% in 20 days, 45.2% and 89.2% in 29 days,
and 43.4% and 81.9% in 35 days, respectively.
A Michaelis–Menten type equation was used to relate the pulp
density to the bioleaching rate. The equation has been given as:
Samples of mesophile bacteria containing A. ferrooxidans, A.
thiooxidans and L. ferrooxidans separated from acid mine drainage,
were isolated. The ability of the mixed culture isolates to grow on
different concentration of copper dust was evaluated. The culture
grew well on the copper dust at low pulp densities (below 2%), but
no growth was observed at a solid concentration of 5%, because of
sudden increasing of the pulp and copper content. Therefore, the
solid concentrations were gradually increased and the culture
tolerated 7% (w/v) pre-leached dust and 20 g/L of copper in
solution after a two-month period.
Microscopic observation of bacteria in solution showed that the
proportion of L. ferrooxidans had improved with increasing the
solid concentrations.
V¼
V m :S
ð K S þ SÞ
0.16
3% solid
2% solid
0.16
1-2/3XCu-(1-XCu)2/3
1-2/3XCu-(1-XCu)2/3
(1)
where V is the extraction rate of metals, Vm is the maximum metal
extraction rate, S is the pulp density and Ks is the Michaelis’
constant. This constant gives an idea about the affinity of the
bacteria to the mineral substrate. In Fig. 2a and b plots of 1/V versus
1/S for copper and iron dissolutions are shown, respectively. From
these representations the kinetic parameters Vm and Ks for copper
and iron dissolutions can be obtained. Their values are summarized in Table 5. These results confirmed that iron dissolved better
than copper from the copper flue dust, because Vm,Fe is 28 times
higher than Vm,Cu. The higher value of Ks,Cu than Ks,Fe might indicate
a preference of the microorganisms for the copper from the dust.
0.2
0.12
0.08
y = 0.0084x
2
R = 0.9349
0.04
0
0.12
0.08
y = 0.0072x
2
R = 0.9962
0.04
0
0
5
10
15
20
25
0
5
10
Time (days)
15
20
25
Time (days)
0.2
0.16
4% solid
7% solid
1-2/3XCu-(1-XCu)2/3
0.16
1-2/3XCu-(1-XCu)2/3
[(Fig._5)TD$IG]
3.1. Isolation and adaptation of the culture
0.12
0.08
y = 0.006x
2
R = 0.9917
0.04
0
0.12
0.08
y = 0.0035x
2
R = 0.9037
0.04
0
0
5
10
15
20
Time (days)
25
30
0
5
10
15
20
25
Time (days)
Fig. 5. Ash layer diffusion control model for biodissolution of copper from copper dust.
30
35
40
[(Fig._6)TD$IG]
34
F. Bakhtiari et al. / Journal of Industrial and Engineering Chemistry 17 (2011) 29–35
(2)
¼ kobs: t
where XCu is the copper recovery at time t and kobs. is the observed
rate constant [17,20]. The rate controlling factor is the diffusion of
the lixviant via ferric sulfate and sulfuric acid through the passive
layer such as jarosite which was identified in the XRD of the
leached residue. The plot of [1 (1 XCu)1/3] versus time (Fig. 3)
for the pulp density 7% showed the applicability of the chemicalcontrolled shrinking core model for the copper extraction.
Bioleaching of the dust with a mixed culture of mesophile
bacteria is governed by the bacterial oxidation (Eqs. (3)–(10))
providing intermediate products such as sulfurous acid from sulfur
and ferrous iron from covellite, chalcocite, chalcopyrite, bornite
and pyrite.
CuS þ 2O2 ! Cu2þ þ SO4 2
(3)
Cu2 S þ 0:5O2 þ 2Hþ ! CuS þ Cu2þ þ H2 O
(4)
Cu2 S þ 2:5O2 þ 2Hþ ! 2Cu2þ þ SO4 2 þ H2 O
(5)
Cu5 FeS4 þ 9O2 þ 4Hþ ! 5Cu2þ þ Fe2þ þ 4SO4 2 þ 2H2 O
(6)
þ 2H
200
þ
5
10
15
20
25
30
35
40
45
50
55
Time (days)
b
2%solid, no pyrite
4%solid, no pyrite
7%solid, no pyrite
2%solid, 0.2% pyrite
4%solid, 0.2% pyrite
7%solid, 0.2% pyrite
2%solid, 1% pyrite
4%solid, 1% pyrite
7%solid (control)
20
18
16
14
12
10
8
6
4
2
0
5
10
15
20
25
30
35
40
45
50
55
Time (days)
c
(10)
A typical source of energy is the oxidation of a mineral such as
pyrite. So, pyrite was used in order to study its potential effect on
the enhancement of copper recovery. Results showed that the
addition of pyrite to the pulp densities of more than 2% did not
have a considerable effect on the ORP, copper concentration and
recovery (Fig. 6). Pyrite addition to the higher pulp density slurries
had a reverse effect on copper recovery because of the high shear
stress, toxicity of metal ions and precipitation of jarosite. This
precipitate may cover the dust particles surface, resulting in a
decrease in the oxidation of these substrates by the microorganisms. Maximum copper extraction was 89.2% after 23 days 2% pulp
density with 0.2% pyrite addition. The high concentration of pyrite
seems to have an inhibitory effect. This is in agreement with the
results obtained in previous investigations for bioleaching of
synthetic chalcocite and covellite by A. ferrooxidans [24].
The effect of nutrient medium on the ORP, copper concentration
and extraction are shown in Fig. 7. The results show that Norris
medium, although increased the bacterial lag phase, represents the
highest recovery of copper. Furthermore, it contains the least
amount of the nutrients, which is very important from the
economical point of view. Moreover, because of the low
concentration of sulfate, ammonium and potassium ions, the
precipitation of jarosites reduced. Therefore, Norris is the most
suitable culture medium in copper dust bioleaching process. At
Cu Extraction (%)
(8)
(9)
þ 4SO4
300
2%solid, no pyrite
4%solid, no pyrite
7%solid, no pyrite
2%solid, 0.2%pyrite
4%solid, 0.2%pyrite
7%solid, 0.2%pyrite
2%solid, 1%pyrite
4%solid, 1%pyrite
7%solid (control)
90
2CuFeS2 þ 8:5O2 þ 2Hþ ! 2Cu2þ þ 2Fe3þ þ 4SO4 2 þ H2 OðIndirectÞ
2FeS2 þ 7:5O2 þ H2 O ! 2Fe
400
100
(7)
2
500
0
2Cu5 FeS4 þ 18:5O2 þ 10Hþ ! 10Cu2þ þ 2Fe3þ þ 8SO4 2 þ 5H2 O
3þ
2%solid, 1%pyrite
4%solid, 1%pyrite
7% solid (control)
600
0
CuFeS2 þ O2 þ 4Hþ ! Cu2þ þ Fe2þ þ 2S0 þ 2H2 OðDirectÞ
2%solid, 0.2%pyrite
4%solid, 0.2%pyrite
7%solid, 0.2%pyrite
700
Redox Potential (mV)
12
3X Cu ð1 X Cu Þ2=3
2%solid, no pyrite
4%solid, no pyrite
7%solid, no pyrite
a
Cu Concentration (g/L)
To relate the pulp density to the metal extraction, which
directly depends on the bacterial activity, a kinetics study has been
performed. According to the bioleaching data, various kinetic
models such as chemical, liquid film and ash diffusion control were
examined (Figs. 3–5). The kinetic data for the pulp densities of 2%,
3% and 4%, showed a better fit to the diffusion controlled shrinking
core model which is given by Eq. (2) (Fig. 5):
80
70
60
50
40
30
20
10
0
0
5
10
15
20
25
30
35
40
45
50
55
Time (days)
Fig. 6. Influence of pulp density and pyrite addition on the (a) redox potential, (b) Cu
concentration, (c) Cu extraction.
optimum condition, maximum copper recovery was 84.1% after 20
days compared with control medium of 45.9%.
To investigate the effect of temperature on the copper recovery,
an experiment was performed at 36 8C with 3% pulp density. No
ORP increase was observed at 36 8C in all media while the copper
extraction in the bacterial media was more than the control
medium. It seems that the microorganisms dissolved the copper
without ORP increase. Maximum copper extraction was 73.8% after
25 days in 3% pulp density and 9K medium at 36 8C compared with
83.1% after 20 days at 32 8C. As a result, the mixed culture was
performed better at 32 8C for bioleaching of the copper dust.
In all cases, due to the presence of acid consuming compounds,
especially, limestone, changes of pH were high in the early stages
of the tests. As expected, increasing the pulp density increased the
acid consumption, while pyrite addition did not have substantial
effect on the amount of acid consumption. Therefore, pyrite did not
play an important role in the acid production in the copper dust
bioleaching. The acid consumption in 9K medium was the same as
Norris medium and more than M medium, while the control
[(Fig._7)TD$IG]
F. Bakhtiari et al. / Journal of Industrial and Engineering Chemistry 17 (2011) 29–35
a
9K, 32°C
9K, 38°C
Norris,32°C
Norris, 38°C
M, 32°C
M, 38°C
Control, 32°C
Control, 38°C
Redox Potential (mV)
700
600
500
400
300
200
0
5
10
15
20
25
Time (days)
b
9K, 32°C
9K, 38°C
Norris, 32°C
Norris, 38°C
M, 32°C
M, 38°C
Control, 32°C
Control, 38°C
Cu Concentration (g/L)
8
7
pyrite is acid producing, the process of copper dust bioleaching was
acid consuming. The apparent lack of a universal mechanism to
explain the bioleaching of different copper sulfide minerals in the
copper dust warrants fundamental studies of biological and
electrochemical mechanisms to understand optimized conditions
and to develop models for bioleaching process. The bioleaching
data from copper smelters dust followed the diffusion controlled
shrinking core kinetic model at the temperature 32 8C and up to 4%
of solid concentration. Higher pulp density about 7% may interfere
with the mass transfer of oxygen and carbon dioxide. Therefore,
the kinetic model may change to a combination of diffusion and
reaction controlled mechanisms. It is possible that this limitation
can be overcome with an increase in aeration and agitation in a
laboratory reactor [4,5]. Overall, the results showed the possibility
of copper extraction from Sarcheshmeh pre-leached copper dust
using a mixed native mesophile bacteria, and it could be an
alternative and promising process to cope with the problem of dust
accumulation in the plant.
6
5
Acknowledgments
4
3
This paper is published with the permission of National Iranian
Copper Industries Company. The assistance from the staff of the
R&D Division of National Iranian Copper Industries Company is
gratefully acknowledged.
2
1
0
0
5
10
15
20
25
Time (days)
c
9K, 32°C
9K, 38°C
Norris, 32°C
Norris, 38°C
References
M, 32°C
M, 38°C
Control, 32°C
Control, 38°C
100
90
Cu Extraction (%)
35
80
[1]
[2]
[3]
[4]
[5]
70
60
[6]
50
[7]
40
30
[8]
20
10
[9]
0
0
5
10
15
20
25
Time (days)
Fig. 7. Influence of nutrient medium and temperature on the (a) redox potential, (b)
Cu concentration, (c) Cu extraction, (3% pulp density).
medium consumed less acid. Therefore, when the microorganisms
performed well, the acid consumption was increased and vice versa.
[10]
[11]
[12]
[13]
[14]
[15]
4. Conclusions
In the bioleaching tests of copper dust samples, increasing the
pulp density caused an increase in the adaptation time of the
microorganisms and a decrease in the final copper recovery. Norris
nutrient medium was the most suitable medium because of higher
copper extraction and lower concentrations of basal salts. Pyrite
addition and higher temperatures did not have a significant effect
on the ORP and copper recovery. Despite the fact, that oxidation of
sulfides in copper concentrate containing substantial amount of
[16]
[17]
[18]
[19]
[20]
[21]
[22]
[23]
[24]
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