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All Journal Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE)
Simanjuntak, Fernandus Dito
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Agriculture, Biological Sciences & Forestry Engineering Immunology & microbiology Industrial & Manufacturing Engineering Mechanical Engineering

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A Comparative kinetic modelling for biogas yield assessment from food waste valorisation Pangestuti, Martasari Beti; Putri, Refika Melina; Sihite, Jesika Paulina; Napitu, Yanti Silvia; Siringo Ringo, Yosefo Ivan; Simanjuntak, Fernandus Dito
Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Vol 9, No 1 (2026): IN PROGRESS
Publisher : Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE)

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Abstract

The increasing volume of food waste (FW) presents a serious environmental challenge. Valorisation through anaerobic digestion is a key strategy. This study aimed to assess the biogas potential from the anaerobic co-digestion of FW with cattle manure (C:FW) and goat manure (G:FW) by applying three kinetic models (modified Gompertz, Logistic, Michaelis-Menten) to the cumulative biogas production data. The analysis revealed that the modified Gompertz model provided the highest accuracy in predicting yield. Although the Logistic model yielded high R2 values, its predicted maximum biogas potential (Pm) (61-87 ml) was highly unrealistic. Conversely, the Gompertz model, with good R2 values (0.879-0.949), provided Pm values that corresponded with the experimental data. The Gompertz model predicted the highest biogas potential in the G:FW (50:50) at 30.04 ml. This yield was higher than the C:FW (50:50) mixture at 26.53 ml. This performance of the G:FW mixture was attributed to an optimal C/N ratio (26.80), and a higher Volatile Solids (%WW) content (21.47%) compared to the C:FW mixture (16.30%), providing more organic material for biogas conversion. This study concludes G:FW co-digestion is the most effective valorisation strategy and validates the Gompertz model as the most reliable tool for yield assessment in the design of waste-to-energy systems in the agro-industry.
Co-Authors Napitu, Yanti Silvia Pangestuti, Martasari Beti Putri, Refika Melina Sihite, Jesika Paulina Siringo Ringo, Yosefo Ivan