Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, School of Environmental Science and Engineering, Sun Yat-Sen University, 135 Xingang Xi Road, Guangzhou, 510275, People's Republic of China.
Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, School of Environmental Science and Engineering, Sun Yat-Sen University, 135 Xingang Xi Road, Guangzhou, 510275, People's Republic of China.
J Hazard Mater. 2018 Jul 5;353:135-141. doi: 10.1016/j.jhazmat.2018.04.007. Epub 2018 Apr 10.
Bioleaching is a green recycling technology for recovering precious metals from waste printed circuit boards (WPCBs). However, this technology requires increasing cyanide production to obtain desirable recovery efficiency. Luria-Bertani medium (LB medium, containing tryptone 10 g/L, yeast extract 5 g/L, NaCl 10 g/L) was commonly used in bioleaching of precious metal. In this study, results showed that LB medium did not produce highest yield of cyanide. Under optimal culture conditions (25 °C, pH 7.5), the maximum cyanide yield of the optimized medium (containing tryptone 6 g/L and yeast extract 5 g/L) was 1.5 times as high as that of LB medium. In addition, kinetics and relationship of cell growth and cyanide production was studied. Data of cell growth fitted logistics model well. Allometric model was demonstrated effective in describing relationship between cell growth and cyanide production. By inserting logistics equation into allometric equation, we got a novel hybrid equation containing five parameters. Kinetic data for cyanide production were well fitted to the new model. Model parameters reflected both cell growth and cyanide production process.
生物浸出是一种从废印刷电路板 (WPCB) 中回收贵金属的绿色回收技术。然而,这项技术需要增加氰化物的产量以获得理想的回收效率。Luria-Bertani 培养基 (LB 培养基,含蛋白胨 10g/L、酵母提取物 5g/L、NaCl 10g/L) 通常用于生物浸出贵金属。本研究表明,LB 培养基并未产生最高的氰化物产量。在最佳培养条件 (25°C,pH 7.5) 下,优化培养基 (含蛋白胨 6g/L 和酵母提取物 5g/L) 的最大氰化物产量是 LB 培养基的 1.5 倍。此外,还研究了细胞生长和氰化物生成的动力学和关系。细胞生长数据很好地符合逻辑斯谛模型。比生长速率模型在描述细胞生长和氰化物生成之间的关系方面非常有效。通过将逻辑斯谛方程插入比生长速率方程,得到了一个包含五个参数的新型混合方程。氰化物生成的动力学数据很好地符合新模型。模型参数反映了细胞生长和氰化物生成过程。