Effects of pretreatment methods on biomethane production kinetics and microbial community by solid state anaerobic digestion of sugarcane trash.

Solid state anaerobic digestion (SS-AD) of lignocellulose is effective in improving biomethane productivity but is limited by low biomass digestibility and lack of substrate-specific working microorganisms. In this study, the effects of different pretreatment methods on biomethane production by SS-AD of sugarcane trash were studied. The biomethane production, fitted to a modified Gompertz's model, predicted a maximum methane yield of 214.2 L/kg volatile solids (VS) and productivity of 6.9 L/kg VS/day from KOH-pretreated trash, respectively. Microbial community analysis showed that bacterial community was significantly associated with volatile acids and pretreatment types while archaeal community was significantly associated with methane yield. Microbial community dynamics was revealed in SS-AD. Main genera related to pretreatment method were identified and discussed. This study generated important information on SS-AD of lignocellulosic biomass pretreated by different methods, which is useful for developing bioaugmentation strategies to improve biomethane production by SS-AD.

A systematic evaluation of biomethane production from sugarcane trash pretreated by different methods.

Biomethane production was systematically evaluated with sugarcane trash pretreated by liquid hot water (LHW), dilute acid (DA) and KOH solutions. Multiple linear regression analysis identified glucan in pretreated solid residue as well as C5 sugars and acetic acid in pretreatment hydrolysate as the key parameters affecting biomethane potentials. Moreover, biomethane production was best simulated using Chen & Hashimoto model with a predicted highest methane yield of 187 mL/g initial total solids (TS) based on LHW (130 °C for 15 min) and KOH (10% on trash, 150 °C for 60 min) pretreatments. KOH pretreatment led to a biomethane yield of 167 mL/g initial TS at day 25, 82%, 34% and 33% higher than those achieved with untreated and pretreated trash samples with optimal LHW and DA conditions, respectively. This study led to the identification of best kinetic model and pretreatment condition for biomethane production from sugarcane trash through a systematic evaluation.