Hakimi Mohd, Manogaran M Devendran, Shamsuddin Rashid, Mohd Johari Siti Aminah, Abdalla M Hassan Muzamil, Soehartanto Totok
HICoE Centre for Biofuel and Biochemical Research (CBBR), Institute of Self-Sustainable Building, Department of Chemical Engineering, Universiti Teknologi PETRONAS (UTP), 32610 Bandar Seri Iskandar, Malaysia.
Jurusan Teknik Fisika, FTI, Institut Teknologi Sepuluh Nopember Surabaya, Jl. Arief Rahman Hakim, Surabaya 60111, Indonesia.
Heliyon. 2023 Jun 8;9(6):e17096. doi: 10.1016/j.heliyon.2023.e17096. eCollection 2023 Jun.
Plant herbs specifically (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/g) and methane yield (30.89 mL/g), 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 (0.927-0.999), low (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/g for modified Gompertz and 89.56 to 19.31 mL/g 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.
特别选用了艾草（SW）和薄荷（PPM）这两种植物药草，因为在厌氧消化（AD）过程中使用鸡粪（CM）时，由于产生的消化液可能会吸引苍蝇。因此，在CM的AD系统中添加SW和PPM可以防止苍蝇滋生，同时产生沼气。先前的研究表明，锯末（SD）和CM与这些植物药草进行厌氧消化能够产生沼气，并减少苍蝇对消化液的吸引力。然而，SW和PPM组合用于CM的厌氧消化尚未得到研究。这项工作描述了SW和PPM混合对SDCM共厌氧消化在沼气产量、甲烷产率和动力学分析方面的影响。SW和PPM的混合物浓度各不相同。每隔10天使用配备热导检测器（TCD）的气相色谱仪（GC）对沼气中的甲烷成分进行表征。结果表明，10SW10PPM的共厌氧消化表现出最高的沼气产量（52.28毫升/克）和甲烷产率（30.89毫升/克），与SDCM相比，甲烷纯度提高了18.52%。然而，增加SW和PPM的浓度并不能显著改善整个过程。修正的Gompertz模型、逻辑模型和Cone模型显示出较高的值（0.927 - 0.999）、较低的值（0.08 - 0.61）和较低的预测误差（<10.00%）。相比之下，Monod模型和Fitzhugh模型不适合用于SDCM与SW和PM混合物的共厌氧消化，因为在整个研究过程中获得的预测误差较高。增加PPM的用量会降低最大累积甲烷产率，修正的Gompertz模型的范围为31.76至7.01毫升/克，逻辑模型的范围为89.56至19.31毫升/克。修正后的Gompertz模型的滞后期为10.01 - 28.28天，而逻辑模型的滞后期为37.29 - 52.48天。
