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使用响应面法(RSM)优化从电子废物中回收贵金属

Optimization of Precious Metals Recovery from Electronic Waste by Using Response Surface Methodology (RSM).

作者信息

Abdol Jani Wan Nur Fazlina, Suja' Fatihah, Sayed Jamaludin Sharifah Iziuna, Mohamad Nor Fadilah, Abdul Rani Noor Hidayu

机构信息

School of Chemical Engineering, College of Engineering, Universiti Teknologi MARA Johor Branch, Pasir Gudang Campus, 81750 Bandar Seri Alam, Masai, Johor, Malaysia.

Department of Civil & Structural Engineering, Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia.

出版信息

Bioinorg Chem Appl. 2023 Mar 30;2023:4011670. doi: 10.1155/2023/4011670. eCollection 2023.

Abstract

An effective recovery technology will be valuable in the future because the concentration of the precious metal contained in the source can be a key driver in recycling technology. This study aims to use response surface methodology (RSM) through Minitab software to discover the optimum oxygen level (mgL), e-waste pulp density (% w/v), and glycine concentration (mgL) for the maximum recovery of gold (Au) and silver (Ag). The method of precious metals recovery used for this study was taken from the bioleaching using 2 L of batch stirred tank reactor (BSTR). A Box-Behnken of RSM experimental statistical designs was used to optimize the experimental procedure. The result of the RSM optimization showed that the highest recovery was achieved at an oxygen concentration of 0.56 mgL, a pulp density of 1.95%, and a glycine concentration of 2.49 mgL, which resulted in the recovery of 62.40% of Au. The pulp density and glycine concentration greatly impact how much Au is bioleached by . As a result, not all of the variables analyzed seem crucial for getting the best precious metals recovery, and some adjustments may be useful in the future.

摘要

一种有效的回收技术在未来将很有价值,因为源材料中所含贵金属的浓度可能是回收技术的关键驱动因素。本研究旨在通过Minitab软件使用响应面方法(RSM)来发现最佳氧气水平(mg/L)、电子垃圾矿浆密度(% w/v)和甘氨酸浓度(mg/L),以实现金(Au)和银(Ag)的最大回收率。本研究采用的贵金属回收方法取自使用2升间歇搅拌釜式反应器(BSTR)的生物浸出法。RSM实验统计设计的Box-Behnken用于优化实验过程。RSM优化结果表明,在氧气浓度为0.56 mg/L、矿浆密度为1.95%、甘氨酸浓度为2.49 mg/L时实现了最高回收率,此时金的回收率为62.40%。矿浆密度和甘氨酸浓度对通过……生物浸出的金量有很大影响。因此,并非所有分析的变量对于获得最佳贵金属回收率似乎都至关重要,未来可能需要进行一些调整。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d28/10079379/a84a7724aa78/BCA2023-4011670.001.jpg

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