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Enhancing Anaerobic Digestion Of Food Waste Through Biochemical Methane Potential 1 Assays At Different Substrate: Inoculum Ratios, Shakira R. Hobbs, Amy E. Landis, Bruce E. Rittmann, Michelle N. Young, Prathap Parameswaran
Enhancing Anaerobic Digestion Of Food Waste Through Biochemical Methane Potential 1 Assays At Different Substrate: Inoculum Ratios, Shakira R. Hobbs, Amy E. Landis, Bruce E. Rittmann, Michelle N. Young, Prathap Parameswaran
Publications
Food waste has a high energy potential that can be converted into useful energy in the form of methane via anaerobic digestion. Biochemical Methane Potential assays (BMPs) were conducted to quantify the impacts on methane production of different ratios of food waste. Anaerobic digester sludge (ADS) was used as the inoculum, and BMPs were performed at food waste:inoculum ratios of 0.42, 1.42, and 3.0 g chemical oxygen demand/g volatile solids (VS). The 1.42 ratio had the highest CH4-COD recovery: 90% of the initial total chemical oxygen demand (TCOD) was from food waste, followed by ratios 0.42 and 3.0 at 69% …
Modelling Methane Production Kinetics Of Complex Poultry Slaughterhouse Wastes Using Sigmoidal Growth Functions, Niamh Power, Aidan Ware
Modelling Methane Production Kinetics Of Complex Poultry Slaughterhouse Wastes Using Sigmoidal Growth Functions, Niamh Power, Aidan Ware
Publications
The kinetic evaluation of the methane potential from poultry slaughterhouse waste streams was performed using modified sigmoidal bacterial growth curve equations (Richards, logistic, Gompertz) in order to investigate their suitability to describe the degradation patterns associated with complex substrates, primarily composed of fats. The methane potential and degradation patterns under mesophilic conditions were assessed using Biochemical Methane Potential (BMP) assays. A nonlinear least-square regression analysis was performed to fit the sigmoidal functions to the cumulative methane production curves with respect to time generated from the BMP assays. In the cases modelled the Gompertz and logistic, three parameter models, sufficiently …