Xiao Yunhua, Liu Xueduan, Fang Jun, Liang Yili, Zhang Xian, Meng Delong, Yin Huaqun
College of Bioscience and Biotechnology and College of Agronomy, Hunan Agricultural University, Changsha, 410128, China.
School of Minerals Processing and Bioengineering, Central South University, Changsha, 410083, China.
AMB Express. 2017 Oct 23;7(1):190. doi: 10.1186/s13568-017-0491-1.
Temperature and energy resources (e.g., iron, sulfur and organic matter) usually undergo dynamic changes, and play important roles during industrial bioleaching process. Thus, it is essential to investigate their synergistic effects and the changes of their independent effects with simultaneous actions of multi-factors. In this study, we explored the synergistic effects of temperature and original mineral compositions (OMCs, energy resources) on the sphalerite bioleaching process. The microbial community structure was monitored by 16S rRNA gene sequencing technology and showed clear segregation along temperature gradients and Shannon diversity decreased at high temperature. On the contrary, the physicochemical parameters (pH and [Fe]) in the leachate were significantly affected by the OMCs. Interestingly, the influence of temperature on zinc recovery was greater at relatively simpler OMCs level, whereas the influence of OMCs was stronger at lower temperature. In addition, using [Fe], pH, relative abundances of dominant OTUs of microbial community and temperature as variable parameters, several models were constructed to predict zinc leaching efficiency, providing a possibility to predict the metal recovery efficiency under temperature change and variable energy resources.
温度和能源（如铁、硫和有机物）通常会发生动态变化，并在工业生物浸出过程中发挥重要作用。因此，研究它们的协同效应以及在多因素共同作用下其独立效应的变化至关重要。在本研究中，我们探讨了温度和原始矿物组成（OMCs，能源）对闪锌矿生物浸出过程的协同效应。通过16S rRNA基因测序技术监测微生物群落结构，结果表明其沿温度梯度呈现明显的分异，且高温下香农多样性降低。相反，浸出液中的理化参数（pH值和[Fe]）受OMCs的影响显著。有趣的是，在相对简单的OMCs水平下，温度对锌回收率的影响更大，而在较低温度下，OMCs的影响更强。此外，以[Fe]、pH值、微生物群落优势OTU的相对丰度和温度作为可变参数，构建了多个模型来预测锌浸出效率，为预测温度变化和能源可变情况下的金属回收效率提供了可能。
