Abdelwahab Taha Abdelfattah Mohammed, Pan Junting, Ni Ji-Qin, Yang Chunping, Mohanty Mahendra Kumar, Darwish Elwan Ali, Desoky Samir Hafez Mohamed, Yang Haiping, Fodah Ahmed Elsayed Mahmoud
Faculty of Agricultural Engineering, Al-Azhar University, Cairo, Egypt.
State Key Laboratory of Efficient Utilization of Arid and Semi-Arid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Sci Rep. 2025 Jun 2;15(1):19233. doi: 10.1038/s41598-025-04131-z.
The impact of nanoparticles (NP) mixtures (Fe + Ni + Co, Fe + Ni, Fe + Co, and Ni + Co) on the anaerobic digestion (AD) of cow manure was examined through kinetic modelling (Modified Gompertz, Logistic, and First-order kinetic) and experimental observations. The NPs mixture significantly enhanced biogas production rate and yield potential. The variation between predicted and actual biogas yields was smaller with the Modified Gompertz model (1.37% to 5.30%) and First-order kinetic model (0.04% to 3.83%) compared to the Logistic model (1.99% to 7.04%). Additionally, digestates containing NPs showed strong fertility properties (5.16% to 5.36%). The combined use of kinetic models and experiments offers an effective way to quantify the influence of NPs mixture on AD performance, aiding in industrial application.
通过动力学建模（修正的戈姆珀茨模型、逻辑斯蒂模型和一级动力学模型）和实验观察，研究了纳米颗粒（NP）混合物（铁 + 镍 + 钴、铁 + 镍、铁 + 钴和镍 + 钴）对牛粪厌氧消化（AD）的影响。纳米颗粒混合物显著提高了沼气产率和产气潜力。与逻辑斯蒂模型（1.99%至7.04%）相比，修正的戈姆珀茨模型（1.37%至5.30%）和一级动力学模型（0.04%至3.83%）预测的沼气产量与实际沼气产量之间的差异较小。此外，含有纳米颗粒的消化液表现出很强的肥力特性（5.16%至5.36%）。动力学模型和实验的结合使用提供了一种有效方法来量化纳米颗粒混合物对厌氧消化性能的影响，有助于工业应用。
