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A preliminary study: Effect of initial pH and Saccharomyces cerevisiae addition on biogas production from acid-pretreated Salvinia molesta and kinetics
Energy ( IF 9 ) Pub Date : 2020-09-01 , DOI: 10.1016/j.energy.2020.118226
Iqbal Syaichurrozi , M. Fakhri Basyir , Rafi Muhammad Farraz , Rusdi Rusdi

Abstract The aim of this study was to investigate the effect of initial pH and Saccharomyces cerevisiae (SC) addition on biogas yield from acid-pretreated Salvinia molesta (pSM). The initial pH was varied to be 5–8 for substrates without SC (D5-D8) and those with SC addition (DR5-DR8). Before used, Salvinia molesta (SM) was pretreated through sulfuric acid pretreatment. The SC with dose of 1 g for 10 g pSM was added. The results showed that the SC addition increased total biogas yield from 8.49-17.95 mLg−1-VS (D5-D8) to 58.98–113.71 mLg−1-VS (DR5-DR8). The methane content in biogas from DR5-DR8 (72.51–84.98%) was higher than that from D5-D8 (6.60–75.03%). The best variable was DR7 (initial pH of 7, SC addition) resulting the highest total biogas yield (113.71 mLg−1-VS) and methane content (84.98%). The SC contributed in hydrolysis dan acidogenesis phases in biogas production. Then, the modified Gompertz model could predict biogas yield more precise than Cone and first order kinetic models. Percentage fitting error in modified Gompertz, Cone and first order kinetic models was 0.00–3.78%, 0.11–11.81% and 0.36–18.05%. The presence of SC increased the ym (biogas yield potential, mLg−1-VS), increased the μ (maximum biogas production rate, mLg−1-VS-d−1) and decreased the λ (lag time, d).

中文翻译:

初步研究:初始 pH 值和酿酒酵母添加对酸预处理的鼠尾草沼气生产和动力学的影响

摘要 本研究的目的是研究初始 pH 值和酿酒酵母 (SC) 添加对酸预处理丹参 (pSM) 沼气产量的影响。对于没有 SC (D5-D8) 和添加 SC (DR5-DR8) 的底物,初始 pH 值在 5-8 之间变化。使用前,鼠尾草(SM)通过硫酸预处理进行了预处理。添加剂量为 1 g 的 SC,用于 10 g pSM。结果表明,SC 添加使总沼气产量从 8.49-17.95 mLg-1-VS (D5-D8) 增加到 58.98-113.71 mLg-1-VS (DR5-DR8)。DR5-DR8沼气中甲烷含量(72.51-84.98%)高于D5-D8沼气(6.60-75.03%)。最好的变量是 DR7(初始 pH 值为 7,SC 添加)导致最高的总沼气产量(113.71 mLg-1-VS)和甲烷含量(84.98%)。SC 参与了沼气生产中的水解和酸化阶段。然后,改进的 Gompertz 模型可以比 Cone 和一级动力学模型更精确地预测沼气产量。修正的 Gompertz、Cone 和一级动力学模型中的百分比拟合误差为 0.00-3.78%、0.11-11.81% 和 0.36-18.05%。SC的存在增加了ym(沼气产量潜力,mLg-1-VS),增加了μ(最大沼气产量,mLg-1-VS-d-1)并降低了λ(滞后时间,d)。
更新日期:2020-09-01
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