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) and for training artificial neural network (ANN) to make a process prediction. Results indicated that the optimum levels of variables are: E/S ratio at 1.64%, hydrolysis time at 3.59h, initial pH at 9 and temperature at 52.57°C. Hydrocarbon-degrading bacteria Bacillus subtilis N3-1P was cultivated using different DHs of hydrolysate. The associated growth curves were generated. The research output facilitated effective shrimp waste utilization.
Faculty of Engineering and Applied Science, Memorial University, St. John's, NL A1B 3X5, Canada. Electronic address: kz2454@mun.ca.
Kedong
K
Zhang
Faculty of Engineering and Applied Science, Memorial University, St. John's, NL A1B 3X5, Canada. Electronic address: bzhang@mun.ca.
Baiyu
B
Zhang
Faculty of Engineering and Applied Science, Memorial University, St. John's, NL A1B 3X5, Canada. Electronic address: bchen@mun.ca.
Bing
B
Chen
Faculty of Engineering and Applied Science, Memorial University, St. John's, NL A1B 3X5, Canada. Electronic address: liang.jing@mun.ca.
Liang
L
Jing
Faculty of Engineering and Applied Science, Memorial University, St. John's, NL A1B 3X5, Canada. Electronic address: zhiwenz@mun.ca.
Zhiwen
Z
Zhu
Faculty of Engineering and Applied Science, Memorial University, St. John's, NL A1B 3X5, Canada. Electronic address: kk2714@mun.ca.
Khoshrooz
K
Kazemi
D000818:Animals; D003445:Crustacea; D005525:Food-Processing Industry; D006868:Hydrolysis; D016571:Neural Networks, Computer; D009523:Newfoundland and Labrador; D013696:Temperature; D014866:Waste Products
D014866:Waste Products
Artificial neural network; Enzymatic hydrolysis; Microbial growth; Response surface methodology; Shrimp waste utilization