ArticleEnvironmental microbiome2026
Using feeding regime as a microbial selective pressure to optimise biogas production and digestate sanitisation from slurry-based anaerobic digestion.
Article in Environmental microbiome, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundThe urgent need to adopt sustainable agricultural practices has positioned anaerobic digestion (AD) as a pivotal technology. Indeed, slurry-based AD can mitigate agricultural pollution by capturing greenhouse gas from stored slurry and converting it into biomethane, a valuable source of renewable energy, while generating digestate that can be used as fertiliser. For such a strategy to be effectively and widely deployed however, AD must be optimised. To this end, efforts have typically focused solely on biogas yields, yet improvements in pathogen load reduction may potentially negate the need for a costly pasteurisation step. Hence, optimisation of AD for sanitisation as well as improved biogas output is desirable. To address this, we set up triplicate 10-L CSTR bioreactors, which were fed with a combination of slurry and fats, oils and grease for 216 days. An organic loading rate (OLR) of 2 g VS L
resultsAfter an initial period of adaptation to the new operating conditions (from day 99-150), the change in feeding regime resulted in improved E. coli removal, achieving consistently the required reduction in numbers to satisfy EU sanitisation standards (< 1000 CFU g
conclusionsTaken together, we demonstrate that feeding regime can function as a microbial selection pressure in anaerobic digestion. The switch from a 5-day to a 3-day feeding regime led to shifts in microbial pathways, underpinning the simultaneous improvement in methane production and E. coli removal. While further research is required to assess the impact of the observed microbial community dynamics on system stability, our findings suggest that full scale on-farm AD operators could explore the effects of feeding intervals on their process performance.
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