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Experimental condition optimization of bacterial desulfurization based on path coefficient analysis
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Science & Technology Review | 2015, 33(15) : 54 - 59
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Science & Technology Review | 2015, 33(15): 54-59
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Experimental condition optimization of bacterial desulfurization based on path coefficient analysis
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AI Chunming, WU Aixiang, WANG Hongjiang
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    Key Laboratory of High-Efficient Mining and Safety of Metal Mines, Ministry of Education; University of Science and Technology Beijing, Beijing 100083, China
Published: 2015-08-13 doi: 10.3981/j.issn.1000-7857.2015.15.008
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Acidophilus bacteria desulfurization column leaching is used to explore the effect of the desulfurization of metal sulfide ore and the feasibility of inhibiting the spontaneous combustion. Uniform design is used in the experiment in which factors investigated include initial pH value, liquid arrangement intensity and average particle size of ore. Regression analysis of desulfurization rates by liquid shows that the liquid arrangement intensity influences the desulfurization most, the ore particle size less, and the pH value the least. Liquid arrangement intensity and pH are positively correlated with the desulfurization rate, but ore particle size negatively. The result of SEM shows that the sulfur content of the ore surface is reduced to 15% or less from about 43%. The ore flammability is lower, with the surface desulfurization rate being 65%.
bacterial desulfurization  /  path coefficient analysis  /  sulfide ore
艾纯明, 吴爱祥, 王洪江. 基于通径系数分析的细菌脱硫实验条件优化. 科技导报, 2015 , 33 (15) : 54 -59 . DOI: 10.3981/j.issn.1000-7857.2015.15.008
AI Chunming, WU Aixiang, WANG Hongjiang. Experimental condition optimization of bacterial desulfurization based on path coefficient analysis[J]. Science & Technology Review, 2015 , 33 (15) : 54 -59 . DOI: 10.3981/j.issn.1000-7857.2015.15.008
Year 2015 volume 33 Issue 15
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doi: 10.3981/j.issn.1000-7857.2015.15.008
  • Receive Date:2015-05-08
  • Online Date:2015-08-28
  • Published:2015-08-13
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  • Received:2015-05-08
  • Revised:2015-06-21
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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