冯雅丽, 李浩然, 冯福章. 微生物催化大洋多金属结核和黄铁矿共同浸出及反应动力学模型[J]. 工程科学学报, 2006, 28(10): 912-916. DOI: 10.13374/j.issn1001-053x.2006.10.023
引用本文: 冯雅丽, 李浩然, 冯福章. 微生物催化大洋多金属结核和黄铁矿共同浸出及反应动力学模型[J]. 工程科学学报, 2006, 28(10): 912-916. DOI: 10.13374/j.issn1001-053x.2006.10.023
FENG Yali, LI Haoran, FENG Fuzhang. Microbe catalysis co-leaching of deep sea reaction kinetics model polymetallic nodules and pyrite and its reaction kinetics model[J]. Chinese Journal of Engineering, 2006, 28(10): 912-916. DOI: 10.13374/j.issn1001-053x.2006.10.023
Citation: FENG Yali, LI Haoran, FENG Fuzhang. Microbe catalysis co-leaching of deep sea reaction kinetics model polymetallic nodules and pyrite and its reaction kinetics model[J]. Chinese Journal of Engineering, 2006, 28(10): 912-916. DOI: 10.13374/j.issn1001-053x.2006.10.023

微生物催化大洋多金属结核和黄铁矿共同浸出及反应动力学模型

Microbe catalysis co-leaching of deep sea reaction kinetics model polymetallic nodules and pyrite and its reaction kinetics model

  • 摘要: 为了直观地表征大洋多金属矿微生物浸出过程中各因素的相互关系,进行了微生物催化MnO2-FeS2-H2SO4体系的好氧和厌氧浸出实验,利用DLVO理论建立厌氧条件下微生物催化浸出氧化锰矿物中有价金属的动力学模型——收缩核模型.微生物在厌氧条件下催化大洋多金属矿和黄铁矿的氧化还原反应,浸出锰的机理是细菌催化铁离子在二价和三价的循环转化;微生物吸附在矿物表面加速反应的进程,矿物颗粒在反应中不断缩小.进一步实验表明收缩核模型曲线与实验曲线拟合较好,验证了模型的可靠性.

     

    Abstract: In order to characterize the interdependence of all the factors directly in the process of bioleaching polymetallic nodules in deep sea, this paper conducted the aerobic and anaerobic leaching experiments of a microbe catalysis MnO2-FeS2-H2SO4 system. The dynamic model of valuable metals by microbe catalysis leaching under anaerobic condition, that is the shrinking core model, was established using the DLVO theory. In the oxidation-reduction process of polymetallic nodules and pyrites, the Mn-leaching mechanics under anaerobic condition was the circulate transformation between Fe2+ and Fe3+ by microbe catalysis. The microbes absorbed on the surface of mineral and accelerated the reaction process, the mineral particles got small continuously during the reaction. The further study on the experiments indicates that retract model curves fit the experimental ones nicely, which verified the reliability of the model.

     

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