Chemical Engineering Journal 187 (2012) 217–221
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Chemical Engineering Journal
j ourna l ho mepage: www.elsevier.com/locate/cej
On the optimization of sphalerite bioleaching; the inspection of intermittent
irrigation, type of agglomeration, feed formulation and their interactions on the
bioleaching of low-grade zinc sulfide ores
Taghiyeh Saririchi, Reza Roosta Azad
∗
, Daryush Arabian, Asghar Molaie, Fahimeh Nemati
Department of Petroleum and Chemical Engineering, Sharif University of Technology, Iran
a r t i c l e i n f o
Article history:
Received 6 June 2010
Received in revised form 5 October 2010
Accepted 7 October 2010
Keywords:
Acidithiobacillus ferrooxidans
Bioleaching
Low-grade ores
Sulfide
Taguchi method
Zinc
a b s t r a c t
In this study, we have investigated the bioleaching potential of a native strain of Acidithiobacillus ferroox-
idans isolated from zinc and lead sulfide mines under varied ambient conditions of growth and substrate
consumption. The effects of intermittent irrigation, type of agglomeration, feed formulation in terms of
acid, enriched salt solution, initial number of microorganism, and their interactions on the bioleaching of
low-grade zinc sulfide ores (containing 5.78% zinc) on growth and biooxidation efficiency of the bacteria
have been evaluated. Bioleaching capacities of the isolate were optimized by the utilization the Taguchi
method (e-qualitic-4) for design of experiments. As a result, eight column bioreactors with 5.7 kg ore
(100% <12 mm) capacity were fabricated. Through the analysis, continuous inoculation of the ores with
the solution of A. ferrooxidans type and spraying a bacterial-rich solution into the agglomerator were
found to be the most significant factors, whereas intermittent irrigation and interactions of parameters
have less effect within the ranges investigated. The extraction of zinc was obtained under the optimal
conditions more than 70% in 80 days, which is noticeable to compare with conventional bioleaching.
© 2012 Published by Elsevier B.V.
1. Introduction
The remaining minerals resources of the world are gradually
becoming more challenging to exploit by the conventional process-
ing technologies [1]. Also, as high grade surface mineral deposits are
worked out, the traditional pyrometallurgy-based metal recovery
processes become less economically viable and mining companies
have been required to find new processes to work the remaining
lower grade deposits. The economic extraction of metals from low-
grade ores requires low-cost processing methods such as dump
and heap leaching [2]. Apparently, microbe-based processes have
economic advantages in the extraction of metals from many low-
grade sulfide deposits [3]. The reactions involved in the biological
oxidation of zinc sulfide are [4,5]:
ZnS(s) + 2Fe
3+
→ Zn
2+
+ 2Fe
2+
+ S
0
(s) (1)
4Fe
2+
+ O
2
+ 4H
+
bacteria
-→ 4Fe
3+
+ H
2
O (2)
S
0
(s) + 1.5O
2
+ H
2
O
bacteria
-→ H
2
SO
4
(3)
∗
Corresponding author. Tel.: +98 21 66005210; fax: +98 21 66005310.
E-mail address: roosta@sharif.edu (R.R. Azad).
There are a number of operating parameters controlling
bioleaching process, which are required to be maintained within
a certain range in operation condition whereby the activity of bac-
teria with the resultant of maximum extraction of metals can be
optimized. In this study we have evaluated the effect of intermittent
irrigation, type of agglomeration, feed formulation in terms of acid,
microorganism and enriched salt solution, and their interactions,
on the growth and activity of indigenous bacterium that has been
isolated from Koshk Zn/Pb sulfide mine, central of Iran. Taguchi
method has been utilized for design of optimization experiments
under eight equal size column bioreactors.
2. Materials and methods
2.1. Ore
Ore sample supplied by Kooshk Bafgh mine (Yazd province, Iran)
was used in this study. XRF (X-ray Fluorescence) and XRD (X-ray
diffraction) tests were employed for the mineralogical identifica-
tion of the ore. The mineral ore used in this study mainly consisted
of Pyrite (FeS
2
), Quartz (SiO
2
), Gypsum (CaSO
4
), Calcite (CaCO
3
),
Dolomite ((Ca,Mg)(CO
3
)
2
), and Mica-Illite (KAlSi
2
O
5
(OH)
4
). The
XRF analysis of sample is shown in Table 1.
1385-8947/$ – see front matter © 2012 Published by Elsevier B.V.
doi:10.1016/j.cej.2010.10.013