A comprehensive kinetic model called anaerobic digestion bacteria algae(ADBA)was developed to describe and predict the complex algae-bacterial system in anaerobic digestion(AD)wastew-ater under mixotrophic growth cond...A comprehensive kinetic model called anaerobic digestion bacteria algae(ADBA)was developed to describe and predict the complex algae-bacterial system in anaerobic digestion(AD)wastew-ater under mixotrophic growth conditions.The model was calibrated and validated using the experimental growth data from cultivating the algae(Chlorella vulgaris CA1)with its indigenous bacteria in Blue Green 11(BG-11)media and different combinations of sterilized,diluted,and raw AD effluent.Key parameters were obtained,including the distinct maximum growth rate of algae on CO_(2)(μ_(a,CO_(2)),1.23 per day)and organic carbon(μ_(a,OC),3.30 per day),the maximum growth rate of bacteria(μ_(b),1.20 per day),along with two noble parameters,i.e.,the algae-bacteria in-teraction exponent(n,0.03)and the growth inhibition coefficient(a_(e)=30000 mg/L per AU)due to effluent turbidity.The model showed a good fit with an average R^(2)=0.90 in all cases adjusted with 25 kinetic parameters.This was the first model capable of predicting algal and bac-terial growth in AD effluent with their competitive interactions,assuming shifting growth modes of algae on organic and inorganic carbon under light.It could also predict the removal rate of substrate and nutrients from effluent,light inhibition due to biomass shading and effluent turbid-ity,mass transfer rate of O_(2) and CO_(2)from gas phase to liquid phase,and pH-driven equilibrium between dissolved inorganic carbon components(CO_(2),HCO_(3)^(-),and CO_(3)^(2-)).Algal growth in the strongly buffered AD effluent resulted in odor removal,turbidity reduction,and the removal of∼80%of total ammonium-nitrogen and 90%of organic carbon.In addition to process parame-ter prediction,this study offered a practical solution to wastewater treatment,air pollution,and nutrient recycling,ensuring a holistic and practical approach to ecological balance.展开更多
基金supported by the Applied BioEnergy Research Program Internal Competitive Grant from the Agricultural Research Center at Washington State University,College of Agricultural,Human,and Natural Resource Sciences.
文摘A comprehensive kinetic model called anaerobic digestion bacteria algae(ADBA)was developed to describe and predict the complex algae-bacterial system in anaerobic digestion(AD)wastew-ater under mixotrophic growth conditions.The model was calibrated and validated using the experimental growth data from cultivating the algae(Chlorella vulgaris CA1)with its indigenous bacteria in Blue Green 11(BG-11)media and different combinations of sterilized,diluted,and raw AD effluent.Key parameters were obtained,including the distinct maximum growth rate of algae on CO_(2)(μ_(a,CO_(2)),1.23 per day)and organic carbon(μ_(a,OC),3.30 per day),the maximum growth rate of bacteria(μ_(b),1.20 per day),along with two noble parameters,i.e.,the algae-bacteria in-teraction exponent(n,0.03)and the growth inhibition coefficient(a_(e)=30000 mg/L per AU)due to effluent turbidity.The model showed a good fit with an average R^(2)=0.90 in all cases adjusted with 25 kinetic parameters.This was the first model capable of predicting algal and bac-terial growth in AD effluent with their competitive interactions,assuming shifting growth modes of algae on organic and inorganic carbon under light.It could also predict the removal rate of substrate and nutrients from effluent,light inhibition due to biomass shading and effluent turbid-ity,mass transfer rate of O_(2) and CO_(2)from gas phase to liquid phase,and pH-driven equilibrium between dissolved inorganic carbon components(CO_(2),HCO_(3)^(-),and CO_(3)^(2-)).Algal growth in the strongly buffered AD effluent resulted in odor removal,turbidity reduction,and the removal of∼80%of total ammonium-nitrogen and 90%of organic carbon.In addition to process parame-ter prediction,this study offered a practical solution to wastewater treatment,air pollution,and nutrient recycling,ensuring a holistic and practical approach to ecological balance.
