Kumar Anil, Saini Harvinder Singh, Kumar Sudhir
1Department of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Solan, Himachal Pradesh 173234 India.
2Department of Microbiology, Guru Nanak Dev University, Amritsar, Punjab 143005 India.
3 Biotech. 2018 Feb;8(2):100. doi: 10.1007/s13205-018-1129-y. Epub 2018 Jan 29.
Two-step bioleaching was applied using a cyanogenic bacterium SAE1 to recover gold (Au) and silver (Ag) from the computer printed circuit boards (CPCBs) via central composite design of a response surface methodology (CCD-RSM). To enhance Au and Ag recovery, factors like pH level, pulp density, temperature and glycine concentration were optimized and their interactions were studied. CCD-RSM optimization resulted in 73.9 and 41.6% dissolution of Au and Ag, respectively, at initial pH 8.6, pulp density 5 g/L, temperature 31.2 °C, and glycine concentration 6.8 g/L, respectively. Two quadratic models were proposed by RSM which can be utilized as an efficient tool to predict Au and Ag recovery through bioleaching. The experimental results are in line with the predicted results, indicating reliability of RSM model in enhancing the Au and Ag recovery from CPCBs. The increased bioleaching yield of Au and Ag from discarded CPCBs has its importance in industrial e-waste recycling and safe disposal.
采用两步生物浸出法,利用产氰细菌SAE1,通过响应面法的中心复合设计(CCD-RSM)从计算机印刷电路板(CPCBs)中回收金(Au)和银(Ag)。为提高金和银的回收率,对pH值、矿浆密度、温度和甘氨酸浓度等因素进行了优化,并研究了它们之间的相互作用。CCD-RSM优化结果表明,在初始pH值8.6、矿浆密度5 g/L、温度31.2℃和甘氨酸浓度6.8 g/L时,金和银的溶解率分别为73.9%和41.6%。RSM提出了两个二次模型,可作为预测生物浸出金和银回收率的有效工具。实验结果与预测结果一致,表明RSM模型在提高从CPCBs中回收金和银方面具有可靠性。从废弃CPCBs中提高金和银的生物浸出率在工业电子废物回收和安全处置中具有重要意义。