TITLE:
Optimization of Penicillin G Acylase Immobilization Process by Surface Response Methodology Using Central Composite Design
AUTHORS:
Atyabi Seyed Mohammad, Akbarzadeh Azim, Salimi Mona, Momen Seyed Bahman, Sedigeh Hatami Gigloo, Hossein Nemati, Norouzian Dariush
KEYWORDS:
Quadratic Model; Significant; Enzyme Concentration; Temperature of the Adsorption
JOURNAL NAME:
Applied Mathematics,
Vol.4 No.1,
January
28,
2013
ABSTRACT: Penicillin G acylase was immobilized onto superparamagnetite iron oxide nanoparticles employing response surface methodology through central composite design. Polynomial quadratic model was selected as a model. The value of the determination coefficient (R2) calculated from the quadratic regression model was 0.845, while the value of the adjusted (R2) was 0.74. The regression analysis of the data showed that the quadratic model selected were appropriate thereby enzyme concentration (A), reaction temperature (D), enzyme concentration* reaction temperature (AD), quadratics enzyme concentration (A2) and reaction temperature (D2) were found to be significant factors in immobilization process of penicillin G acylase.