Statistical Methodologies for the Optimization of Lipase and Biosurfactant by Ochrobactrum intermedium Strain MZV101 in an Identical Medium for Detergent Applications

Abstract

The Plackett–Burman design and the Box–Behnken design, statistical methodologies, were employed for the optimization lipase and biosurfactant production by Ochrobactrum intermedium strain MZV101 in an identical broth medium for detergent applications. Environmental factor pH determined to be most mutual significant variables on production. A high concentration of molasses at high temperature and pH has a negative effect on lipase and biosurfactant production by O. intermedium strain MZV101. The chosen mathematical method of medium optimization was sufficient for improving the industrial production of lipase and biosurfactant by bacteria, which were respectively increased 3.46- and 1.89-fold. The duration of maximum production became 24 h shorter, so it was fast and cost-saving. In conclusion, lipase and biosurfactant production by O. intermedium strain MZV101 in an identical culture medium at pH 10.5–11 and 50–60 °C, with 1 g/L of molasses, seemed to be economical, fast, and effective for the enhancement of yield percentage for use in detergent applications.

Statistical enhancement of lipase extracellular production byBacillus stratosphericusPSP8 in a batch submerged fermentation process

“…As it plays a critical role for maximum physiological activity of bacterial cells and transportation of various nutrients across the cell membranes, it consequently affects the maximum yield of enzymes. Ebrahimipour et al (2017) also reported that the pH is a factor that can affect protein structure and consequently the enzyme activity. It is desirable on an industrial scale, to produce maximum enzyme activity with lower concentration of inoculums.…”

Optimization of culture conditions for enhanced lipase production by an indigenousBacillus aryabhattaiSE3-PB using response surface methodology

“…The model generated was found to be statistically significant with a value of 'Probability > F' less than 0.0500 (P < 0.0001), an indication that lipase production could be well described with this model ( Table 3). The F-value (178.26) showed that the model was significant and suitable for simulation of lipase production with any interaction of the five variables [56,57]. There is only a 0.01% chance that a large 'model F-value' could occur due to noise.…”

Statistical Design, a Powerful Tool for Optimizing Biosurfactant Production: A Review

“…These two strategies (PBD and followed by a BBD) were implemented to screen and optimize the most important factors lipase and Bs production in Ochrobactrum intermedium [47]. Like with the other examples, the factors that had the greatest effect on production (determined by the PBD) were used for optimization.…”