초록
<P><B>Abstract</B></P> <P>Lignocellulosic substrates are associated with limited biodegradability due to the structural complexity. For that reason, a pretreatment step is mandatory for efficient biomass transformation which will lead to increased bioenergy output. The aim of the present study was to assess the efficiency of two pretreatment machines to enhance the methane yield of meadow grass. Specifically, the application of shearing forces with a rotated plastic sweeping brush against a steel roller significantly increased biomass biodegradability by 20% under relatively gentle operation conditions (600 rpm). The more intense operation (1200 rpm) was not associated with higher methane yield enhancement. Regarding an alternative machine, in which the brush was replaced with a coarse steel roller resulted in a more distinct effect (+27%) despite the lower rotating speed (∼400 rpm). Moreover, the association of the substrate’s individual chemical components and the practical methane yield was assessed, establishing single and multiple linear regression models. However, the estimation accuracy was rather low with either single (regressor: lignin, <I>R</I> <SUP>2</SUP>: 0.50) or multiple linear regression analyses (regressors: arabinan-lignin-protein, <I>R</I> <SUP>2</SUP>: 0.61). Results showed that poorly lignified plant tissue containing relatively high fractions of protein and arabinan is more susceptible to anaerobic digestion.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Anaerobic digestion of diverse lignocellulosic substrates was examined. </LI> <LI> The mechanical pretreatment methods enhanced the biodegradability of ensiled grass. </LI> <LI> The most efficient mechanical method increased the methane yield of silage by 27% </LI> <LI> Single and multiple linear regression were used to predict biomass digestibility. </LI> <LI> The most efficient regressors were arabinan, lignin and protein contents. </LI> </UL> </P>