Comparative Evaluation of Biogas Production from Yeast-Treated Agro-Wastes Using Linear Regression and Non-Linear (Gompertz) Models
نویسندگان
1 Department of Physics, Faculty of Physical and Earth Sciences, University of Lagos: Akoka-Yaba, Lagos State, Nigeria.
2 Department of Physics, Faculty of Physical and Earth Sciences, University of Lagos: Akoka-Yaba, Lagos State, Nigeria.
3 Department of Physics, Faculty of Physical and Earth Sciences, University of Lagos: Akoka-Yaba, Lagos State, Nigeria.
doi
10.30501/jree.2026.529505.2439چکیده
With growing emphasis on renewable energy, biogas production from agro-waste offers a promising sustainable solution. This study aimed to compare biogas yields from tiger nut chaff, fruit waste, and plantain peel, each treated with 0 g, 5 g, and 10 g of baker’s yeast, to assess the effect of yeast supplementation on anaerobic digestion. Nine treatment groups were prepared in triplicate and monitored for 21 days under mesophilic conditions. Biogas volumes were recorded daily via water displacement and analyzed statistically. Biogas production increased over time in all treatments, with significant enhancement in the yeast-supplemented groups. Tiger nut chaff treated with 5 g yeast (T1) recorded the highest cumulative yield, followed by fruit waste with 5 g yeast (F1) and untreated fruit waste (F0). Plantain peel treatments (P0–P2) showed the lowest yields. ANOVA revealed a statistically significant difference among treatment means (F = 8.21, p < 0.0001), indicating the impact of substrate type and yeast supplementation on biogas yield. A Tukey HSD post hoc test confirmed that T1 differed significantly (p < 0.05) from most other treatments, including P0–P2 and T0–T2. F1 also differed significantly from the plantain peel treatments, while no significant differences were observed among P0, P1, and P2, likely due to their high lignocellulosic content. Model fitting using linear regression and the Gompertz model yielded strong coefficients of determination (R² = 0.996–0.999), with the Gompertz model providing a better fit. These findings highlight the synergistic effect of moderate yeast addition and substrate type in enhancing biogas production, supporting optimized waste-to-energy strategies.