通过超声预处理最大化城市垃圾渗滤液的生物甲烷潜力。
Maximizing bio-methane potential from municipal landfill leachate through ultrasonic pretreatment.
作者信息
Farsad Salaheddine, Ben Hamou Aboubakr, Chaoui Ayoub, Amjlef Asma, Lhanafi Saaida, Et-Taleb Said, El Alem Noureddine
机构信息
Laboratory of Materials and Environment, Ibn Zohr University, Agadir, 80000, Morocco.
出版信息
Heliyon. 2023 Oct 20;9(11):e21347. doi: 10.1016/j.heliyon.2023.e21347. eCollection 2023 Nov.
In the quest for sustainable waste management solutions, this study explores the integration of ultrasonic pretreatment as a preparatory step for the anaerobic digestion of landfill leachate. Employing response surface methodology (RSM) coupled with central composite design (CCD), we systematically optimize the process parameters, including pH, inoculum volume, and ultrasonic pretreatment duration, to maximize the yield of bio-methane potential (ml CH/g VS). The results demonstrate the effective application of RSM-CCD for predicting and modelling methane generation, with a highly significant model (R = 0.899). The optimized conditions reveal a remarkable biomethane potential of 177 ml CH/g VS. Additionally, this study contributes to the understanding of the positive effect of ultrasound pretreatment on the anaerobic digestion of landfill leachate, and the quality of the digestate obtained after anaerobic digestion was studied and different valorisations were proposed.
在寻求可持续的废物管理解决方案的过程中，本研究探索了将超声预处理作为垃圾渗滤液厌氧消化的预处理步骤。采用响应面法（RSM）结合中心复合设计（CCD），我们系统地优化了包括pH值、接种物体积和超声预处理持续时间在内的工艺参数，以最大化生物甲烷潜力（ml CH/g VS）的产量。结果表明，RSM-CCD在预测和模拟甲烷生成方面具有有效应用，模型具有高度显著性（R = 0.899）。优化条件显示出显著的生物甲烷潜力，为177 ml CH/g VS。此外，本研究有助于理解超声预处理对垃圾渗滤液厌氧消化的积极作用，并对厌氧消化后获得的消化液质量进行了研究，并提出了不同的增值利用方法。
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