2016
DOI: 10.1016/j.wasman.2016.04.004
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Fungal leaching of valuable metals from a power plant residual ash using Penicillium simplicissimum : Evaluation of thermal pretreatment and different bioleaching methods

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Cited by 51 publications
(31 citation statements)
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“…There is always a confusion in bioleaching studies about which process has the best leaching efficiency of metals. Some studies proposed one-step process [3,11,26], some proposed two-step process [27][28][29], and other recommended spent medium process [12,[30][31][32]. The essential difference among these three bioleaching processes is whether or when the direct physical contact between microbial cells and leaching materials occur.…”
Section: Bioleaching Perfomance Of Metal Elements Under Different Biomentioning
confidence: 99%
“…There is always a confusion in bioleaching studies about which process has the best leaching efficiency of metals. Some studies proposed one-step process [3,11,26], some proposed two-step process [27][28][29], and other recommended spent medium process [12,[30][31][32]. The essential difference among these three bioleaching processes is whether or when the direct physical contact between microbial cells and leaching materials occur.…”
Section: Bioleaching Perfomance Of Metal Elements Under Different Biomentioning
confidence: 99%
“…Every year large volumes of bottom and y ashes are generated around the world by burning fuel oil in thermal power plants. 1 These ashes contain valuable metals such as vanadium (V), nickel (Ni), copper (Cu), zinc (Zn), cobalt (Co), etc., which have many industrial applications. 1,2 On the other hand, if there is no treatment of y ashes, they would create many environmental problems, including soil, water and air pollution.…”
Section: Introductionmentioning
confidence: 99%
“…A 5% significant level was used for all statistical models. More detailed information on the analytical methods and the RM elemental composition are described in our previous studies [24,28].…”
Section: Analytical Methods and Data Analysismentioning
confidence: 99%