Department of Mathematics and Applications "R. Caccioppoli", University of Naples Federico II, Via Cintia 1, Monte S. Angelo, 80126, Naples, Italy.
Sci Rep. 2022 Mar 11;12(1):4274. doi: 10.1038/s41598-022-08106-2.
In this work, an original mathematical model for metals leaching from electronic waste in a dark fermentation process is proposed. The kinetic model consists of a system of non-linear ordinary differential equations, accounting for the main biological, chemical, and physical processes occurring in the fermentation of soluble biodegradable substrates and in the dissolution process of metals. Ad-hoc experimental activities were carried out for model calibration purposes, and all experimental data were derived from specific lab-scale tests. The calibration was achieved by varying kinetic and stoichiometric parameters to match the simulation results to experimental data. Cumulative hydrogen production, glucose, organic acids, and leached metal concentrations were obtained from analytical procedures and used for the calibration. The results confirmed the high accuracy of the model in describing biohydrogen production, organic acids accumulation, and metals leaching during the biological degradation process. Thus, the mathematical model represents a useful and reliable tool for the design of strategies for valuable metals recovery from waste or mineral materials. Moreover, further numerical simulations were carried out to analyze the interactions between the fermentation and the leaching processes and to maximize the efficiency of metals recovery due to the fermentation by-products.
在这项工作中,提出了一种用于从电子废物中浸出金属的暗发酵过程的原始数学模型。该动力学模型由一组非线性常微分方程组成,考虑了在可溶生物降解底物发酵过程中和金属溶解过程中发生的主要生物、化学和物理过程。为了进行模型校准,进行了专门的实验活动,所有实验数据均来自特定的实验室规模测试。通过改变动力学和化学计量参数来使模拟结果与实验数据匹配,从而实现了校准。通过分析程序获得了累积产氢量、葡萄糖、有机酸和浸出金属浓度,并将其用于校准。结果证实了该模型在描述生物氢产生、有机酸积累和金属在生物降解过程中浸出方面的高度准确性。因此,该数学模型代表了从废物或矿物材料中回收有价值金属的策略设计的有用且可靠的工具。此外,还进行了进一步的数值模拟,以分析发酵和浸出过程之间的相互作用,并由于发酵副产物最大化金属回收的效率。