Statistical optimization of Pseudomonas putida (ATCC 49128) growth: Process variables response in hypoxic shake flasks using response surface methodology
AUTHORS
Mani Malam Ahmad,Faculty of Chemical and Natural Resources Engineering, Universiti Malaysia Pahang (UMP), Lebuhraya Tun Razak, 26300 Gambang, Kuantan, Pahang, Malaysia
Abd. Aziz Mohd Azoddien,Faculty of Chemical and Natural Resources Engineering, Universiti Malaysia Pahang (UMP), Lebuhraya Tun Razak, 26300 Gambang, Kuantan, Pahang, Malaysia
Mior Ahmad Khusairi bin Mohd Zahari,Faculty of Chemical and Natural Resources Engineering, Universiti Malaysia Pahang (UMP), Lebuhraya Tun Razak, 26300 Gambang, Kuantan, Pahang, Malaysia
Mazrul Nizam bin Abu Seman,Faculty of Chemical and Natural Resources Engineering, Universiti Malaysia Pahang (UMP), Lebuhraya Tun Razak, 26300 Gambang, Kuantan, Pahang, Malaysia
Mohammed Saedi Jami,Faculty of Engineering, Department of Biotechnology Engineering, International Islamic University, Malaysia (IIUM), Gombak, 50728, Kuala Lumpur, Malaysia
ABSTRACT
Background: The modeling of Pseudomonas putida growth is facilitated due to its non-fastidious nature. Objective: This research was performed to develop a predictive model for the growth of P. putida in a shake flasks medium. Methods: A response surface methodology (RSM) was employed to predict the synergistic effects with a combination of nutrient concentration (4-16 g/l), agitation (140-200 rpm) and temperature (30-40 ºC) on P. putida (ATCC 49128) growth and cell biomass accumulation. The growth curves generated under different conditions were fitted using a nonlinear regression model equation. The relationship between the response and growth limiting variables were modelled using a face-centered central composite design (FCCCD) quadratic polynomial equation. Results: The predictive model was highly significant (p < 0.01), and the predicted values of the growth parameters obtained using the model equations were in agreement with the observed values (R2= 0.9840). The established model validation indices for describing the growth rate of P. putida were within the acceptable limit of bias (Bf) and accuracy factor (Af). Conclusion: Therefore, the predictive model further confirmed the versatility of P. putida to simple growth media within defined optimal physical operational parameters of simple batch mode.
KEYWORDS
Optimization, Pseudomonas putida, Growth, Shake flasks
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