Barragan Jose Angel, Alemán Castro Juan Roberto, Peregrina-Lucano Alejandro Aarón, Sánchez-Amaya Moises, Rivero Eligio P, Larios-Durán Erika Roxana
Departamento de Ingeniería Química, Universidad de Guadalajara, Blvd. M. García Barragán #1451, C.P. 44430 Guadalajara, Jalisco, Mexico.
Departamento de Farmacobiología, Universidad de Guadalajara, Blvd. M. García Barragán #1451, C.P. 44430 Guadalajara, Jalisco, Mexico.
ACS Omega. 2021 Apr 30;6(18):12063-12071. doi: 10.1021/acsomega.1c00724. eCollection 2021 May 11.
The aim of this study is to design and develop an efficient leaching process based on a fundamental and theoretical thermodynamic analysis and the optimization of the operation parameters via the response surface methodology (RSM). Using this methodology, the design of a leaching process for the recovery of copper, silver, and lead from highly metal-concentrated fractions of e-waste is presented. Thermodynamic predictions were performed through the construction and analysis of Pourbaix diagrams for the specific conditions of the leaching system. From this analysis, it was possible to determine the values of potential ( vs NHE) and pH at which the leaching reactions occur spontaneously. Additionally, RSM was useful to deduce a quadratic semiempirical model that predicts the copper leaching efficiencies as a function of two parameters involved in the leaching procedure, the stirring speed and the solid/liquid ratio, by which the response variable, the leaching efficiency, can be optimized.
本研究的目的是基于基础和理论热力学分析设计并开发一种高效浸出工艺，并通过响应面法（RSM）对操作参数进行优化。利用该方法，提出了一种从电子垃圾高金属浓缩物中回收铜、银和铅的浸出工艺设计。通过构建和分析浸出系统特定条件下的Pourbaix图进行热力学预测。通过该分析，可以确定浸出反应自发发生时的电位（相对于标准氢电极）和pH值。此外，响应面法有助于推导一个二次半经验模型，该模型可根据浸出过程中涉及的两个参数（搅拌速度和固液比）预测铜的浸出效率，通过该模型可优化响应变量——浸出效率。
