The high reactivity, adsorptive capacity and environmental stability of polypyrrole-magnetic nanocomposite (nano-PPy/Fe₃O₄) additive are the sterling properties that make it useful for water/wastewater treatment. PPy/Fe₃O₄ is akin to other previously studied iron-based additives used for improving biodeterioration of lignocellulosic substrates with their electron donation capability during anaerobic digestion process. This study examined the enhancement of anaerobic digestion of okra waste with nano-PPy/Fe₃O₄ additive. Portions of okra waste were treated with different dosages of PPy/Fe₃O₄ additives (0, 20, 75, 750, and 1000 mg/l) and digested anaerobically using the biomethane potential bioreactors at mesophilic condition and hydraulic retention time of 32 days. The morphological deformation and elemental analysis of the undigested substrate, the control and digestates of substrate supplemented with nano-PPy/Fe₃O₄ additive evaluated with Scanning Electron Microscopy (SEM-EDS) revealed structural decomposition in the digested samples and increased Fe ions (0.1-3.9 wt%) in the digestates. The bioreactor with 20 mg/l cumulative volumes of the PPy/Fe₃O₄ additives recorded the highest increase of 2.74% rise in biomethane yield. Artificial neural network (ANN) and kinetic models (first-order kinetic and modified Gompertz model) were validated with the experimental data at 95% confidence level, but ANN model showed better goodness of fit and better correlated with the experimental data.

聚吡咯-磁性纳米复合材料（nano-PPy / Fe ₃ O ₄）添加剂的高反应活性，吸附能力和环境稳定性是使其可用于水/废水处理的纯正特性。PPy / Fe ₃ O ₄类似于其他先前研究的铁基添加剂，这些添加剂可通过厌氧消化过程中的电子供体能力改善木质纤维素基质的生物降解性。这项研究探讨了纳米PPy / Fe ₃ O ₄添加剂对黄秋葵废料的厌氧消化的增强作用。用不同剂量的PPy / Fe ₃ O ₄处理秋葵废料的部分添加剂（0、20、75、750和1000 mg / l），并在中温条件下使用生物甲烷潜在生物反应器厌氧消化，水力停留时间为32天。扫描电子显微镜（SEM-EDS）对未消化的底物的形态变形和元素分析，添加了纳米PPy / Fe ₃ O ₄添加剂的底物的对照和消化物进行了扫描电子显微镜（SEM-EDS）评估，结果显示消化的样品中存在结构分解，并且铁离子增加（消化液中的0.1-3.9 wt％）。具有20 mg / l的PPy / Fe ₃ O ₄累积体积的生物反应器添加剂的生物甲烷收率最高增长了2.74％。人工神经网络（ANN）和动力学模型（一阶动力学模型和改进的Gompertz模型）已在95％置信水平下用实验数据进行了验证，但ANN模型显示出更好的拟合度，并且与实验数据具有更好的相关性。