Abstract
Two artificial intelligence techniques, namely artificial neural network (ANN) and genetic algorithm (GA) were combined to be used as a tool for optimizing the covalent immobilization of cellulase on a smart polymer, Eudragit L-100. 1-Ethyl-3-(3-dimethyllaminopropyl) carbodiimide (EDC) concentration, N-hydroxysuccinimide (NHS) concentration and coupling time were taken as independent variables, and immobilization efficiency was taken as the response. The data of the central composite design were used to train ANN by back-propagation algorithm, and the result showed that the trained ANN fitted the data accurately (correlation coefficient R2 = 0.99). Then a maximum immobilization efficiency of 88.76% was searched by genetic algorithm at a EDC concentration of 0.44%, NHS concentration of 0.37% and a coupling time of 2.22 h, where the experimental value was 87.97 ± 6.45%. The application of ANN based optimization by GA is quite successful.
Highlights
Cellulase plays an important role in the conversion of lignocellulosic biomass to biochemicals, biomaterials and bioenergy
Eudragit L-100 is a copolymer of methacrylic acid and methyl methacrylate,and contains many carboxyl groups (Figure 1)
Carbodiimide was able to activate the carboxyl groups, and cellulase was bonded to the activated Eudragit L-100
Summary
Cellulase plays an important role in the conversion of lignocellulosic biomass to biochemicals, biomaterials and bioenergy. The immobilization is non-covalent due to the existence of acetate (acetate contains many carboxyl groups), the activity yield was relatively low and the reusability was unsatisfactory [8] To address this the problem, cellulase was immobilized on Eudragit L-100 in the absence of acetate, and. Our preliminary experiments showed that immobilized cellulase with a high activity (for filter paper) did not show a correspondingly strong ability to hydrolyze lignocellulosic biomass such as straw, grass and wood. This may be attributed to the structure and composition difference of enzymatic substrates. Like our previous report [9], two artificial intelligence techniques (ANN and GA) were used to optimize cellulase immobilization
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