Multiple Responses Optimization and Modeling of Lipase Production by Rhodotorula mucilaginosa MTCC-8737 Using Response Surface Methodology

Abstract

Response surface methodology was employed to optimize culture medium for production of lipase with Rhodotorula sp. MTCC 8737. In the first step, a Plackett-Burman design was used to evaluate the effects of different inducers qualitatively. Of all the seven inducers tested, soybean oil showed significant influence on the lipase production. Further, response surface studies were conducted to quantitatively optimize by considering linear, interactive, and quadratic effects of test variables. A novel approach was proposed to optimize the lipase production system by optimizing the responses in terms of yield kinetics rather than optimizing the direct responses like lipase titer and biomass growth. The coefficient of determination (R(2)) calculated for Y (P/S) (0.769), Y (P/X) (0.799), and Y (X/S) (0.847) indicated that the statistical model could explain 76.9%, 79.99%, and 84.7% of variability in the response.

Growth Medium Optimization for Biomass Production of a Probiotic Bacterium,Lactobacillus rhamnosus ATCC 7469

“…Response surface methodology (RSM) is a wellestablished collection of statistical techniques that can be applied to designing experiments, building models and evaluating the effects of factors, and optimizing the effects of factors for desired responses even in the presence of interactions (Box and Wilson 1951;Montgomery et al 2001). It has been successfully used for optimization work in various fields, including biotechnology (Himabindu et al 2006;Lee et al 2006;Chennupati et al 2009;Chen and Lin 2010;. Compared with the traditional approach of "one variable at a time," RSM requires less time and work and, most importantly, is capable of detecting and representing the effects of interactions between different factors if they are present.…”

Statistical Optimization of Alkaline Lipase Production by Extreme Halophilic Archean Natrialba Asiatica

“…Olive oil was known as a lipase production inducer in different bacterial sources (Mobarak-Qamsari et al, 2011;Stergiou et al, 2012;Yele & Desai, 2014). In N. asiatica, olive oil has not a significant effect on lipase production like in some other reports (Burkert, 2004;Chennupati et al, 2009;Ito et al, 2001). Lactose is another carbon source that was not determined as an effective factor.…”

“…However, studies on halophilic lipase-producing organisms are limited. To achieve an optimum condition for production, combinatorial interactions of effectors are investigated using response surface methodology (RSM) (Chennupati et al, 2009). In this study, PDB was used to determine the effectors of lipase production from nutrition and culture parameters of N. asiatica.…”

Statistical Approach for the Production and Partial Characterization of Alkaline Stable Protease from a Newly Isolated Bacillus sp. IND6 for Silver Recovery

“…Experiments were performed according to the given CCD experimental design. RSM is a sequential and effective procedure where the primary objective of the methodology is to run rapidly and efficiently along the path of enhancement toward the general vicinity of the optimum, identifying the optimal region for running the process (Mekala et al, 2008;Chennupati et al, 2009;Potumarthi et al, 2012). Twenty experimental runs with different combinations of three factors were carried out.…”