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从废印刷电路板中回收重金属:浸出和残渣特性的统计优化。

Recovery of heavy metals from waste printed circuit boards: statistical optimization of leaching and residue characterization.

机构信息

Centre for Sustainable Materials Research and Technology (SMaRT), School of Materials Science and Engineering, UNSW Sydney, Kensington, 2052, Australia.

Department of Chemical Engineering, Monash University, Clayton, Victoria, 3800, Australia.

出版信息

Environ Sci Pollut Res Int. 2019 Aug;26(24):24417-24429. doi: 10.1007/s11356-019-05596-y. Epub 2019 Jun 22.

Abstract

Despite attempts to enhance the recycling of waste printed circuit boards (WPCBs), the simultaneous recovery of major metals of WPCBs using an efficient approach is still a great challenge. This study mainly concerned with applying an effective statistical tool to optimize the recovery of metal content (i.e., Cu, Fe, Zn, Pb, Ni, Sn, and Al) embedded in WPCBs using a leaching agent without any additive or oxidative agent. Another target was to optimize a multi-response recovery process by minimizing time, energy, and acid consumption during the leaching. Effective parameters and their levels, including leaching time (20-60 min), temperature (25-45 °C), solid to liquid (S/L) ratio (1/8-1/20 g/ml), and acid molarity (1-2.7 M), were optimized. A well-established statistical approach (i.e., response surface methodology (RSM)) was applied to precisely quantify and interpret the effects. General optimum conditions for nine responses were introduced with the desirability of ≈ 85%. Finally, the solid residue of leaching was characterized and results showed the morphology, structure, and composition of the residue content (i.e., polymers and ceramics) remained the same after the leaching, indicating the neutral behavior of the leaching process on these two materials. Also, thermal behavior and phase analysis of the original WPCBs and leaching residue were compared and analyzed. Graphical abstract.

摘要

尽管人们试图提高废印刷电路板(WPCB)的回收利用率,但仍需要一种有效的方法来同时回收 WPCB 中的主要金属,这仍然是一个巨大的挑战。本研究主要关注应用一种有效的统计工具,使用浸出剂从 WPCB 中回收金属含量(即 Cu、Fe、Zn、Pb、Ni、Sn 和 Al),而无需添加任何添加剂或氧化剂。另一个目标是通过在浸出过程中最小化时间、能量和酸的消耗来优化多响应回收过程。有效参数及其水平,包括浸出时间(20-60 分钟)、温度(25-45°C)、固液比(1/8-1/20 g/ml)和酸摩尔浓度(1-2.7 M),得到了优化。应用了一种成熟的统计方法(即响应面法(RSM))来精确量化和解释影响。引入了九个响应的一般最佳条件,可取性约为 85%。最后,对浸出后的固体残渣进行了表征,结果表明浸出后残渣的形态、结构和组成(即聚合物和陶瓷)保持不变,表明浸出过程对这两种材料呈中性。此外,还比较和分析了原始 WPCB 和浸出残渣的热行为和相分析。图形摘要。

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