Elephant dung (ED) and Napier grass (NP) are used as waste-to-energy resources that help in waste management and reduce greenhouse gas emissions, in accordance with Sustainable Development Goal 13 (SDG 13). In this study, anaerobic co-digestion of ED and NP (with and without biological pretreatment) was conducted under various mixing ratios. The biological pretreatment of NP was performed using the microbial activator super LDD1 (mixed culture microbial sludge) enzyme before further biogas production. The results confirmed that LDD1 enzymatic microbes increased methane production capacity by 1.95 times compared to untreated NP. Moreover, the data revealed that a NP/ED ratio of 1:1 with a 14-day pretreatment duration yielded the highest cumulative methane production of 234.8 ± 5.9 mL-CH₄/g-VS, a 99.2% increase. The synergistic index results showed that substrate pretreatment had the most significant effect on methane yield, with the maximum synergistic index equaling 1.53. The Gompertz model outperformed the Logistic model in determining the reaction's kinetic parameters, with R² > 0.995.

根据可持续发展目标 13 (SDG 13)，大象粪便 (ED) 和紫罗兰草 (NP) 被用作废物能源资源，有助于废物管理和减少温室气体排放在这项研究中，ED 和 NP（有和没有生物预处理）的厌氧共消化是在各种混合比下进行的。使用微生物活化剂 super LDD1（混合培养微生物污泥）酶对 NP 进行生物预处理，然后再进一步沼气生产。结果证实，与未处理的 NP 相比，LDD1 酶促微生物将甲烷生产能力提高了 1.95 倍。此外，数据显示，NP/ED 比率为 1:1 且预处理持续时间为 14 天的甲烷累积产量最高，为 234.8 ± 5.9 mL-CH ₄/g-VS，增加了 99.2%。协同指数结果表明，底物预处理对甲烷产率的影响最为显着，协同指数最大为1.53。Gompertz 模型在确定反应动力学参数方面优于 Logistic 模型，其中 R² > 0.995。