Optimization of fresh palm oil mill effluent biodegradation with Aspergillus niger and Trichoderma virens

Abstract

Abstract:In this work, response surface optimization strategy was employed to enhance the biodegradation process of fresh palm oil mill effl uent (POME) by Aspergillus niger and Trichoderma virens. A central composite design (CCD) combined with response surface methodology (RSM) were employed to study the effects of three independent variables: inoculum size (%), agitation rate (rpm) and temperature (°C) on the biodegradation processes and production of biosolids enriched with fungal biomass protein. The results achieved using A. niger were compared to those obtained using T. virens. The optimal conditions for the biodegradation processes in terms of total suspended solids (TSS), turbidity, chemical oxygen demand (COD), specifi c resistance to fi ltration (SRF) and production of biosolids enriched with fungal biomass protein in fresh POME treated with A. niger and T. virens have been predicted by multiple response optimization and verifi ed experimentally at 19% (v/v) inoculum size, 100 rpm, 30.2°C and 5% (v/v) inoculum size, 100 rpm, 33.3°C respectively. As disclosed by ANOVA and response surface plots, the effects of inoculum size and agitation rate on fresh POME treatment process by both fungal strains were signifi cant.

Modeling and optimization of process parametric interaction during high-rate anaerobic digestion of recycled paper mill wastewater using the response surface methodology

“…Additionally, the values of adjusted R 2 and predicted R 2 were within 0.2, except for effluent alkalinity. However, adequate precision measures the range of predicted response relative to its associate error (Jalaludin et al 2016). The results proved that an adequate precision value was .4 for all responses; the lowest was 7.9 for effluent alkalinity, yet it confirms that this model is desirable.…”