modeling and optimization of newfoundland shrimp waste hydrolysis for microbial growth using response surface methodology and artificial neural networks. | the hydrolyzed protein derived from seafood waste is regarded as a premium and low-cost nitrogen source for microbial growth. in this study, optimization of enzymatic shrimp waste hydrolyzing process was investigated. the degree of hydrolysis (dh) with four processing variables including enzyme/substrate ratio (e/s), hydrolysis time, initial ph value and temperature, were monitored. the dh values were used for response surface methodology (rsm) optimization through central composite design (ccd) ... | 2016 | 27312986 |