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Updated: Sep 25, 2026

Measuring Biomethane Potential of Food Scrap Waste Anaerobically Co-Digested with Waste-Activated Sludge Using Respirometry
Published on: April 26, 2024
Process-oriented screening of agro-industrial waste streams for co-digestion in WWTP anaerobic digesters
Maria Carolina Costa1, Miguel Campos2, Marco Silva2
1Centre for the Research and Technology of Agroenvironmental and Biological Sciences, CITAB, Inov4Agro, Universidade de Trás-os-Montes e Alto Douro, UTAD, Vila Real, Portugal.
Abstract:
Wastewater utilities require a systematic method for screening agro-industrial co-substrates before testing them in sewage-sludge digesters. This study developed and applied a hierarchical preliminary screening framework based on physicochemical characterisation, biochemical methane potential assays, first-order kinetic modelling, and volumetric methane production. Seven waste streams were evaluated individually: a fat-rich fraction recovered from meat-processing wash water, four meat-processing wash waters, used cooking oil, and confectionery-production wash water. Eight fixed-ratio mixtures were then assessed using selected meat-processing streams, cheese whey, olive mill wastewater, and winery wastewater. Specific methane production of the individual waste streams ranged from 0.087 to 0.969 m³ CH₄ kg-¹ VS. Across the mixtures, final SMP ranged from 0.390 to 0.855 m³ CH₄ kg-¹ VS and t₉₀ from 9.0 to 23.3 d. TS, VS, and COD were associated with volumetric methane production at days 10 and 30 but not with final SMP, k, or t₉₀. The COD-VMP10 and TS-VMP30 models explained 87.5% and 86.0% of the variability, showing that volumetric methane output was influenced by feedstock concentration. Biochemical compatibility was classified using final SMP, t₉₀, and evidence of sustained methane suppression; VMP10 and VMP30 then refined priorities within each category. The cheese whey + meat-processing wash water R2 mixture (M1; 1:1 v/v) was prioritised because it combined high SMP (0.792 m³ CH₄ kg-¹ VS), rapid apparent conversion (t₉₀ = 11.8 d), and the highest volumetric relevance. The framework converts physicochemical and BMP-derived results into a traceable basis for selecting external co-substrates for subsequent controlled validation with municipal sludge.
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