选择植物草药,特别是seraiwangi(SW)和薄荷(PPM)的驱虫特性,因为在厌氧消化(AD)中使用鸡粪(CM)可能会由于产生的消化物而吸引苍蝇。因此,在CM的AD系统中添加SW和PPM可以在产生沼气的同时阻止苍蝇的侵扰。先前的工作表明,带有这些植物草药的锯末(SD)和CM的AD能够产生沼气并减少苍蝇对消化物的吸引力。然而,CMAD的SW和PPM组合尚未研究。这项工作描述了混合SW和PPM对SDCM的co-AD相对于沼气生产的影响,甲烷产量和动力学分析。SW和PPM的混合物在不同浓度下变化。每10天使用配有热导检测器(TCD)的气相色谱(GC)对沼气中甲烷的组成进行表征。结果表明,10SW10PPM的co-AD表现出最高的沼气产量(52.28mL/gvs)和甲烷产量(30.89mL/gvs),与SDCM相比,甲烷的纯度提高了18.52%。然而,增加SW和PPM的浓度不会显着改善整个过程。高R2(0.927-0.999),修改后的Gompertz显示了低RMSE(0.08-0.61)和低预测误差(<10.00%),逻辑和锥形模型。相比之下,Monod和Fitzhugh模型对于具有SW和PM混合物的SDCM的co-AD不是首选的,因为在整个研究过程中获得了很高的预测误差。增加PPM的剂量会降低最大累积甲烷产量,对于改良的Gompertz,范围为31.76至7.01mL/gvs,对于逻辑模型,范围为89.56至19.31mL/gvs。改良的Gompertz获得了10.01-28.28天的滞后期,而逻辑模型获得了37.29-52.48天的滞后期。
Plant herbs specifically serai wangi (SW) and peppermint (PPM) are selected for its insect repellent properties as the use of chicken manure (CM) in anaerobic digestion (AD) potentially attract flies due to the digestate produced. Hence, the addition of SW and PPM in the AD system of CM could deter flies\' infestation while producing biogas. Previous work has shown that AD of sawdust (SD) and CM with these plant herbs were able to produce biogas and reduce the flies attraction towards the digestate. However, the combination of SW and PPM for AD of CM has yet to be investigated. This work describes the effect of mixing SW and PPM on the co-AD of SDCM with respect to biogas production, methane yield and kinetic analysis. The mixture of SW and PPM was varied at different concentrations. The composition of methane in biogas was characterized every 10 days by using gas chromatography (GC) equipped with a thermal conductivity detector (TCD). The results suggest that co-AD of 10SW10PPM exhibited the highest biogas production (52.28 mL/gvs) and methane yield (30.89 mL/gvs), which the purity of methane increased by 18.52% as compared to SDCM. However, increasing the concentration of SW and PPM does not significantly improve the overall process. High R2 (0.927-0.999), low RMSE (0.08-0.61) and low prediction error (<10.00%) were displayed by the modified Gompertz, logistic and Cone models. In contrast, Monod and Fitzhugh model is not preferred for the co-AD of SDCM with a mixture of SW and PM, as a high prediction error is obtained throughout the
study. Increasing the dosage of PPM decreases the maximum cumulative methane yield, ranging from 31.76 to 7.01 mL/gvs for modified Gompertz and 89.56 to 19.31 mL/gvs for logistic model. The Modified Gompertz obtained a lag phase of 10.01-28.28 days while the logistic model obtained a lag phase of 37.29-52.48 days.